{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-cyproxio-mcp-for-security","slug":"mcp-cyproxio-mcp-for-security","name":"mcp-for-security","type":"mcp","url":"https://github.com/cyproxio/mcp-for-security","page_url":"https://unfragile.ai/mcp-cyproxio-mcp-for-security","categories":["mcp-servers","code-review-security"],"tags":["ai-assistants","ai-security","cybersecurity","hacking-tools","mcp","mcp-ai","mcp-pentest","mcp-security","model-context-protocol","pentesting","security-automation","security-integrations","security-testing","security-tools","web-security"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-cyproxio-mcp-for-security__cap_0","uri":"capability://tool.use.integration.mcp.standardized.security.tool.abstraction.layer","name":"mcp-standardized security tool abstraction layer","description":"Wraps 19 battle-tested security tools (Nmap, SQLmap, Nuclei, FFUF, etc.) behind a unified Model Context Protocol interface, enabling AI assistants to invoke security operations through standardized tool schemas rather than direct CLI invocation. Each tool maintains its native functionality while exposing capabilities through MCP's resource and tool calling mechanisms, allowing clients to discover available security operations via introspection without tool-specific knowledge.","intents":["I want to integrate multiple security tools into my AI agent without learning each tool's CLI syntax","I need my LLM to call security scanners with consistent input/output schemas across different tools","I want to expose security tool capabilities to Claude or other MCP-compatible clients without custom API wrappers"],"best_for":["AI security researchers building autonomous penetration testing agents","DevSecOps teams integrating security scanning into LLM-driven workflows","Security tool vendors wanting MCP client compatibility without native implementation"],"limitations":["Abstraction adds latency per tool invocation — MCP serialization/deserialization overhead ~50-200ms depending on output size","Tool output parsing relies on regex/text extraction rather than structured APIs — fragile to tool version changes","No built-in result caching or deduplication across multiple tool runs — duplicate reconnaissance requests execute independently","Security context isolation depends on host OS permissions — MCP server runs with same privileges as parent process"],"requires":["Node.js 18+ (TypeScript runtime for MCP servers)","Individual security tools installed and in PATH (Nmap, SQLmap, Nuclei, FFUF, etc.)","MCP-compatible client (Claude Desktop, custom MCP client, or Cline IDE extension)","Unix-like environment (Linux/macOS) — Windows support varies by underlying tool"],"input_types":["target URLs/domains (string)","IP addresses/CIDR ranges (string)","tool-specific parameters (JSON objects)","wordlists/payloads (file paths or inline strings)"],"output_types":["structured JSON results (vulnerability findings, host data, DNS records)","raw tool output (text/markdown formatted)","parsed vulnerability metadata (CVE IDs, severity scores, remediation guidance)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_1","uri":"capability://search.retrieval.passive.subdomain.enumeration.via.multiple.data.sources","name":"passive subdomain enumeration via multiple data sources","description":"Implements reconnaissance tools (Amass, Assetfinder, Certificate Search, Waybackurls, shuffledns) that gather attack surface information without active network traffic, using public data sources like SSL certificate transparency logs, DNS historical records, and archive.org. Amass provides advanced passive/active mode switching with configurable data source selection, while Assetfinder performs lightweight enumeration using only public sources for speed. These tools feed domain discovery into downstream scanning workflows.","intents":["I want to discover all subdomains of a target domain without triggering IDS/WAF alerts","I need to enumerate historical URLs and DNS records to find forgotten assets","I want my agent to build a complete attack surface map before active scanning begins"],"best_for":["Red teamers conducting stealthy reconnaissance phases","Bug bounty hunters mapping scope before active testing","Security researchers analyzing organizational attack surface"],"limitations":["Passive enumeration is incomplete — only discovers subdomains that have been indexed/logged publicly, missing internal or recently created assets","Certificate transparency logs have ~24-48 hour lag — won't find very recently issued certificates","Archive.org coverage is inconsistent — some domains have sparse historical data","DNS brute-forcing (shuffledns) requires wordlist quality — generic wordlists miss custom subdomains"],"requires":["Internet connectivity for querying public data sources","Amass binary installed (Go-based tool)","Assetfinder binary installed (Go-based tool)","Optional: API keys for enhanced data sources (Shodan, VirusTotal, etc.)"],"input_types":["domain name (string, e.g., 'example.com')","Amass configuration (JSON with passive/active mode, data sources)","DNS wordlist file path (for shuffledns)"],"output_types":["subdomain list (newline-delimited strings)","structured JSON with metadata (discovery source, timestamp, IP if resolved)","historical URL list with archive timestamps"],"categories":["search-retrieval","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_10","uri":"capability://tool.use.integration.http.request.smuggling.detection.via.smuggler","name":"http request smuggling detection via smuggler","description":"Integrates Smuggler's HTTP request smuggling detection capabilities through MCP, enabling agents to identify desynchronization vulnerabilities between frontend and backend HTTP parsers. Smuggler tests various HTTP request formatting techniques (CL.TE, TE.CL, TE.TE) to detect parser inconsistencies. The MCP wrapper handles test case generation and result interpretation, allowing agents to assess HTTP parsing security without understanding smuggling techniques.","intents":["I want to test a web application for HTTP request smuggling vulnerabilities","I need to identify desynchronization between frontend and backend HTTP parsers","I want to assess if an application is vulnerable to cache poisoning via request smuggling"],"best_for":["Web penetration testers assessing advanced HTTP vulnerabilities","Security researchers studying HTTP parser implementations","AI agents performing comprehensive web vulnerability assessment"],"limitations":["Smuggler detection relies on response timing and behavior analysis — may produce false positives/negatives","Requires specific HTTP parser configurations to be vulnerable — modern frameworks often mitigate smuggling","Testing can be slow — multiple request variations must be tested sequentially","Limited to HTTP/1.1 — HTTP/2 and HTTP/3 have different parsing mechanisms"],"requires":["Smuggler binary installed (Python-based tool)","Target web application accessible via HTTP/HTTPS","Network connectivity to target"],"input_types":["target URL (string)","HTTP method (GET, POST, etc.)","optional: custom request headers or body"],"output_types":["smuggling vulnerability detection (vulnerable/not vulnerable)","vulnerability type (CL.TE, TE.CL, TE.TE)","proof of concept (request/response pairs demonstrating vulnerability)","exploitation guidance (cache poisoning, session fixation, etc.)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_11","uri":"capability://tool.use.integration.cloud.infrastructure.security.assessment.via.scout.suite","name":"cloud infrastructure security assessment via scout suite","description":"Exposes Scout Suite's multi-cloud security assessment capabilities through MCP, enabling agents to audit AWS, Azure, GCP, and other cloud provider configurations for security misconfigurations. Scout Suite performs API-based reconnaissance to enumerate cloud resources and assess compliance with security best practices. The MCP wrapper handles cloud provider authentication, resource enumeration, and result parsing, converting Scout Suite's detailed findings into structured security assessments.","intents":["I want to audit AWS/Azure/GCP configurations for security misconfigurations","I need to identify overly permissive IAM policies and security group rules","I want to assess cloud infrastructure compliance with security best practices"],"best_for":["Cloud security auditors assessing multi-cloud infrastructure","DevSecOps teams validating cloud security posture","AI agents performing comprehensive cloud security assessment"],"limitations":["Scout Suite requires cloud provider API credentials — cannot assess without authentication","Assessment scope depends on IAM permissions — limited credentials may miss resources","Cloud provider API rate limiting can slow enumeration — large environments may take hours to scan","Scout Suite rules are static — cannot detect application-level vulnerabilities or custom security policies","Requires internet connectivity to cloud provider APIs"],"requires":["Scout Suite installed (Python-based tool)","Cloud provider API credentials (AWS access keys, Azure service principal, GCP service account)","Appropriate IAM permissions for resource enumeration","Internet connectivity to cloud provider APIs"],"input_types":["cloud provider type (AWS, Azure, GCP, etc.)","cloud provider credentials (API keys, service account, etc.)","optional: specific resource types or regions to scan"],"output_types":["resource inventory (cloud resources discovered, types, configurations)","security findings (misconfiguration type, severity, affected resource, remediation)","compliance assessment (security best practices compliance percentage)","detailed report (HTML/JSON with findings, risk scores, remediation guidance)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_12","uri":"capability://tool.use.integration.mobile.application.security.testing.via.mobsf","name":"mobile application security testing via mobsf","description":"Integrates MobSF (Mobile Security Framework) through MCP for automated mobile application security assessment. MobSF performs static and dynamic analysis on Android and iOS applications, identifying security vulnerabilities, insecure configurations, and code quality issues. The MCP wrapper handles APK/IPA file upload, analysis execution, and result parsing, converting MobSF's detailed findings into structured security assessments.","intents":["I want to perform static security analysis on Android/iOS applications","I need to identify insecure code patterns, hardcoded credentials, and security misconfigurations","I want to assess mobile application security posture without manual code review"],"best_for":["Mobile security researchers assessing app security","Development teams performing security testing in CI/CD pipelines","AI agents analyzing mobile application binaries"],"limitations":["MobSF static analysis may produce false positives — requires manual validation of findings","Dynamic analysis requires Android emulator or iOS simulator — cannot test on physical devices through MCP","Analysis time depends on application size — large applications can take 10+ minutes to analyze","Obfuscated code may evade detection — sophisticated obfuscation can hide vulnerabilities","MobSF requires application binary (APK/IPA) — cannot analyze source code directly"],"requires":["MobSF installed (Python-based tool)","Android APK or iOS IPA file","Optional: Android emulator or iOS simulator for dynamic analysis"],"input_types":["mobile application binary (APK or IPA file path)","analysis type (static, dynamic, or both)","optional: custom security rules or compliance framework"],"output_types":["security findings (vulnerability type, severity, location in code, remediation)","code quality assessment (code smells, insecure patterns, best practice violations)","permission analysis (requested permissions, risk assessment)","detailed report (HTML/JSON with findings, risk scores, remediation guidance)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_13","uri":"capability://tool.use.integration.web.crawling.and.javascript.aware.reconnaissance.via.katana","name":"web crawling and javascript-aware reconnaissance via katana","description":"Exposes Katana's web crawling capabilities through MCP, enabling agents to discover web application endpoints and parameters through hybrid crawling that parses JavaScript. Katana performs both traditional link-following crawling and JavaScript execution to discover dynamically-generated endpoints. The MCP wrapper handles crawl configuration, scope management, and result parsing, allowing agents to map application attack surface without manual crawling.","intents":["I want to discover all endpoints and parameters in a JavaScript-heavy web application","I need to map application attack surface by crawling and analyzing all pages","I want to identify hidden endpoints that are only accessible through JavaScript execution"],"best_for":["Web penetration testers mapping single-page applications (SPAs)","Security researchers discovering application endpoints","AI agents performing comprehensive web reconnaissance"],"limitations":["JavaScript execution can be slow — crawling complex SPAs may take 10+ minutes","Crawl scope management is critical — unbounded crawling can discover thousands of endpoints","Dynamic content generation may create infinite crawl paths — requires careful scope configuration","JavaScript obfuscation can hide endpoint discovery — some applications intentionally obscure endpoints"],"requires":["Katana binary installed (Go-based tool)","Target web application accessible via HTTP/HTTPS","Network connectivity to target"],"input_types":["target URL (string)","crawl scope (single domain, subdomains, custom regex)","crawl depth (maximum number of links to follow)","optional: custom headers, cookies, authentication credentials"],"output_types":["discovered endpoints (URLs, HTTP methods, parameters)","structured findings (endpoint path, parameters, content type, response status)","JavaScript-discovered endpoints (endpoints only accessible through JavaScript execution)","crawl report (total endpoints discovered, crawl depth, execution time)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_14","uri":"capability://tool.use.integration.dns.brute.forcing.and.mass.subdomain.resolution.via.shuffledns","name":"dns brute-forcing and mass subdomain resolution via shuffledns","description":"Integrates shuffledns's high-speed DNS brute-forcing and mass resolution capabilities through MCP, enabling agents to discover subdomains through wordlist-based DNS queries and resolve large subdomain lists efficiently. shuffledns uses concurrent DNS queries with configurable resolver lists to achieve high-speed resolution. The MCP wrapper handles wordlist selection, resolver configuration, and result parsing, allowing agents to enumerate DNS records without manual DNS tool configuration.","intents":["I want to brute-force subdomains using a wordlist against a target domain","I need to resolve a large list of subdomains to IP addresses efficiently","I want to discover subdomains that aren't indexed by passive sources"],"best_for":["Red teamers discovering subdomains through active DNS enumeration","Security researchers mapping organizational DNS infrastructure","AI agents performing comprehensive attack surface discovery"],"limitations":["DNS brute-forcing generates significant DNS traffic — may be detected by DNS monitoring","Wordlist quality directly impacts discovery — generic wordlists miss custom subdomains","Rate limiting by DNS providers can slow enumeration — some providers block high-volume queries","Wildcard DNS records can create false positives — requires additional validation","Requires active DNS queries — cannot be performed in stealth mode"],"requires":["shuffledns binary installed (Go-based tool)","Wordlist file (subdomain names)","DNS resolver access (public resolvers or custom resolver list)"],"input_types":["target domain (string, e.g., 'example.com')","wordlist file path (newline-delimited subdomain names)","optional: custom resolver list (IP addresses of DNS servers)","optional: concurrency level (number of parallel DNS queries)"],"output_types":["discovered subdomains (subdomain name, resolved IP addresses)","structured findings (subdomain, IP address, DNS record type)","validation results (confirmed subdomains, wildcard detection)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_15","uri":"capability://tool.use.integration.historical.url.and.archive.discovery.via.waybackurls","name":"historical url and archive discovery via waybackurls","description":"Exposes Waybackurls's integration with Archive.org's Wayback Machine through MCP, enabling agents to discover historical URLs and archived versions of web applications. Waybackurls queries the Wayback Machine API to retrieve all captured URLs for a domain, providing insight into application evolution and potentially exposing forgotten endpoints or parameters. The MCP wrapper handles Wayback Machine API queries and result parsing.","intents":["I want to discover historical URLs that may reveal forgotten endpoints or parameters","I need to identify how an application has evolved over time through archived versions","I want to find endpoints that were removed but may still be accessible"],"best_for":["Web penetration testers discovering forgotten endpoints","Security researchers analyzing application history","AI agents performing comprehensive attack surface discovery"],"limitations":["Wayback Machine coverage is inconsistent — some domains have sparse historical data","Archive.org has rate limiting — high-volume queries may be throttled","Historical URLs may be outdated — endpoints may no longer exist or have changed","Requires internet connectivity to Archive.org API","Archive.org may not have captured sensitive endpoints — coverage depends on web crawler behavior"],"requires":["Waybackurls binary installed (Go-based tool)","Internet connectivity to Archive.org API"],"input_types":["target domain (string, e.g., 'example.com')"],"output_types":["historical URLs list (URL, capture timestamp)","structured findings (URL, first capture date, last capture date, number of captures)","endpoint analysis (unique endpoints discovered, parameter history)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_16","uri":"capability://tool.use.integration.ssl.certificate.transparency.log.querying.via.certificate.search","name":"ssl certificate transparency log querying via certificate search","description":"Integrates certificate transparency log querying through MCP, enabling agents to discover subdomains by searching SSL certificate logs. Certificate transparency logs are public records of all issued SSL certificates, containing Subject Alternative Names (SANs) that reveal subdomains. The MCP wrapper handles certificate log queries and SAN extraction, allowing agents to discover subdomains without active DNS queries.","intents":["I want to discover subdomains by querying SSL certificate transparency logs","I need to find subdomains that have been issued SSL certificates","I want to perform passive subdomain enumeration without DNS queries"],"best_for":["Red teamers performing passive reconnaissance","Security researchers discovering organizational infrastructure","AI agents performing stealth attack surface discovery"],"limitations":["Certificate transparency logs only reveal subdomains with SSL certificates — unencrypted HTTP subdomains are missed","Certificate logs have ~24-48 hour lag — very recently issued certificates may not be indexed","Rate limiting by certificate log providers — high-volume queries may be throttled","Requires internet connectivity to certificate log APIs"],"requires":["Certificate Search tool/library installed","Internet connectivity to certificate transparency log APIs"],"input_types":["target domain (string, e.g., 'example.com')"],"output_types":["discovered subdomains (subdomain name, certificate issuer, issue date)","structured findings (subdomain, certificate details, SAN information)","certificate metadata (issuer, validity dates, key size)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_17","uri":"capability://tool.use.integration.subdomain.enumeration.with.advanced.passive.active.modes.via.amass","name":"subdomain enumeration with advanced passive/active modes via amass","description":"Exposes Amass's comprehensive subdomain enumeration capabilities through MCP with configurable passive and active reconnaissance modes. Amass integrates multiple data sources (DNS, WHOIS, SSL certificates, search engines, APIs) and supports active DNS queries, brute-forcing, and alterations. The MCP wrapper handles data source configuration, mode selection, and result deduplication, allowing agents to perform thorough subdomain enumeration without understanding Amass's complex configuration.","intents":["I want to perform comprehensive subdomain enumeration using multiple data sources","I need to switch between passive (stealthy) and active (thorough) reconnaissance modes","I want to discover subdomains through DNS brute-forcing and alterations"],"best_for":["Penetration testers performing thorough reconnaissance","Security researchers mapping organizational attack surface","AI agents conducting comprehensive subdomain discovery"],"limitations":["Amass enumeration can be slow with many data sources — comprehensive scans may take 30+ minutes","Active mode generates significant network traffic — may trigger IDS/IPS alerts","Data source quality varies — some sources may be outdated or inaccurate","Requires API keys for enhanced data sources (Shodan, VirusTotal, etc.) — free tier has limited queries"],"requires":["Amass binary installed (Go-based tool)","Optional: API keys for enhanced data sources (Shodan, VirusTotal, etc.)"],"input_types":["target domain (string, e.g., 'example.com')","reconnaissance mode (passive, active, or both)","data source selection (specific sources or all)","optional: DNS brute-forcing wordlist"],"output_types":["discovered subdomains (subdomain name, discovery source, resolved IP)","structured findings (subdomain, IP address, DNS records, discovery method)","source attribution (which data source discovered each subdomain)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_18","uri":"capability://tool.use.integration.passive.asset.discovery.via.public.data.sources.with.assetfinder","name":"passive asset discovery via public data sources with assetfinder","description":"Integrates Assetfinder's lightweight passive asset discovery through MCP, enabling agents to quickly enumerate subdomains using only public data sources (SSL certificates, search engines, DNS records). Assetfinder prioritizes speed over comprehensiveness, making it ideal for rapid initial reconnaissance. The MCP wrapper handles data source queries and result parsing, allowing agents to perform fast passive enumeration without network traffic.","intents":["I want to quickly discover subdomains using only passive data sources","I need rapid initial reconnaissance before detailed scanning","I want to perform stealth reconnaissance without generating network traffic"],"best_for":["Red teamers performing initial stealth reconnaissance","Security researchers requiring quick attack surface mapping","AI agents needing rapid subdomain discovery before detailed scanning"],"limitations":["Assetfinder only uses passive sources — misses subdomains without public records","Results are less comprehensive than Amass — single-source enumeration","Data source coverage varies — some domains have sparse public records","Requires internet connectivity to public data sources"],"requires":["Assetfinder binary installed (Go-based tool)","Internet connectivity to public data sources"],"input_types":["target domain (string, e.g., 'example.com')"],"output_types":["discovered subdomains (subdomain name list)","structured findings (subdomain, discovery source)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_19","uri":"capability://tool.use.integration.http.service.probing.and.validation.via.httpx","name":"http service probing and validation via httpx","description":"Exposes httpx's multi-purpose HTTP toolkit through MCP for probing and validating web services. httpx performs HTTP requests to identify live hosts, extract response metadata (status codes, headers, titles, technologies), and validate service accessibility. The MCP wrapper handles request configuration, response parsing, and technology detection, allowing agents to assess web service availability and gather metadata without manual HTTP requests.","intents":["I want to probe a list of hosts to identify which are running HTTP services","I need to extract HTTP response metadata (status codes, headers, page titles) from multiple targets","I want to detect technologies and frameworks used by web applications"],"best_for":["Web reconnaissance teams validating service accessibility","Security researchers gathering HTTP metadata","AI agents performing rapid service discovery and validation"],"limitations":["httpx relies on HTTP responses — cannot detect services behind WAF/proxy that block probing","Technology detection is signature-based — may miss custom or obscured technologies","Response parsing is fragile — changes in HTTP response format may break detection","No support for advanced HTTP features — limited to basic HTTP/HTTPS requests"],"requires":["httpx binary installed (Go-based tool)","Target hosts accessible via HTTP/HTTPS"],"input_types":["target URLs or host list (strings or file path)","optional: custom headers, cookies, authentication credentials","optional: technology detection flags"],"output_types":["service status (live/dead, HTTP status code)","response metadata (status code, content type, page title, response size)","technology detection (detected frameworks, technologies, versions)","structured findings (URL, status, headers, detected technologies)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_2","uri":"capability://tool.use.integration.template.based.vulnerability.scanning.with.nuclei","name":"template-based vulnerability scanning with nuclei","description":"Exposes Nuclei's template-driven scanning engine through MCP, enabling AI agents to execute pre-built vulnerability detection templates against targets without writing custom detection logic. Nuclei maintains an extensive community template library covering OWASP Top 10, CVEs, and misconfigurations. The MCP wrapper handles template selection, severity filtering, and output parsing, converting Nuclei's JSON results into structured vulnerability findings with remediation context.","intents":["I want my agent to scan a target against hundreds of known vulnerability patterns without manual template creation","I need to filter vulnerability results by severity and only report critical/high findings to reduce noise","I want to integrate the latest CVE templates automatically as they're published to the Nuclei template repository"],"best_for":["Security automation engineers building continuous scanning pipelines","AI agents performing rapid vulnerability assessment across multiple targets","Teams wanting template-based scanning without maintaining custom detection rules"],"limitations":["Template quality varies — community-contributed templates may have false positives or false negatives","Nuclei scanning speed depends on template complexity and target responsiveness — can take minutes for large template sets","Template updates require manual repository refresh — no automatic template versioning or rollback","Limited context-aware scanning — templates execute independently without understanding application logic or business context"],"requires":["Nuclei binary installed (Go-based tool)","Nuclei template repository cloned locally or accessible via network","Target must be reachable (HTTP/HTTPS for web templates, network access for others)"],"input_types":["target URL (string)","template selection criteria (severity filter, template tags, specific template IDs)","Nuclei configuration (timeout, concurrency, custom headers)"],"output_types":["structured vulnerability findings (JSON with CVE ID, severity, description, remediation)","raw Nuclei JSON output (detailed match data, request/response pairs)","filtered vulnerability report (high/critical only, deduplicated)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_20","uri":"capability://tool.use.integration.parameter.discovery.and.fuzzing.via.arjun","name":"parameter discovery and fuzzing via arjun","description":"Integrates Arjun's parameter discovery capabilities through MCP, enabling agents to identify hidden HTTP parameters through intelligent fuzzing. Arjun uses a curated parameter wordlist and smart matching to discover parameters that are processed by the application but not documented. The MCP wrapper handles parameter fuzzing, response analysis, and result parsing, allowing agents to discover injection points without manual parameter enumeration.","intents":["I want to discover hidden HTTP parameters that may be vulnerable to injection","I need to identify parameters that are processed by the application but not documented","I want to find injection points for SQL injection, XSS, or other parameter-based attacks"],"best_for":["Web penetration testers discovering injection points","Security researchers identifying hidden parameters","AI agents performing comprehensive parameter discovery"],"limitations":["Parameter discovery relies on response analysis — may produce false positives if application doesn't clearly indicate parameter processing","Arjun's wordlist is static — misses custom or obfuscated parameters","Fuzzing can be slow on large parameter sets — may take 10+ minutes for comprehensive testing","WAF/rate limiting can block parameter fuzzing — some applications block high-volume requests"],"requires":["Arjun binary installed (Python-based tool)","Target web application accessible via HTTP/HTTPS"],"input_types":["target URL (string)","HTTP method (GET, POST, etc.)","optional: custom parameter wordlist"],"output_types":["discovered parameters (parameter name, HTTP method, response indication)","structured findings (parameter name, discovery confidence, processing indication)","parameter analysis (parameter type, potential vulnerability)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_21","uri":"capability://tool.use.integration.dns.record.generation.and.mutation.via.alterx","name":"dns record generation and mutation via alterx","description":"Exposes Alterx's DNS record generation and mutation capabilities through MCP, enabling agents to generate subdomain variations and mutations for brute-forcing. Alterx creates permutations of domain names using patterns and wordlists, generating candidate subdomains for testing. The MCP wrapper handles pattern configuration and mutation generation, allowing agents to discover subdomains through intelligent brute-forcing without manual pattern creation.","intents":["I want to generate subdomain variations and mutations for brute-forcing","I need to discover subdomains that follow specific naming patterns","I want to identify subdomains that may have been created through common naming conventions"],"best_for":["Red teamers discovering subdomains through pattern-based brute-forcing","Security researchers identifying naming convention patterns","AI agents performing intelligent subdomain discovery"],"limitations":["Alterx generation can create very large candidate lists — may require filtering to avoid excessive DNS queries","Pattern-based generation relies on common naming conventions — misses custom or unique naming schemes","Generated candidates must be validated through DNS queries — requires follow-up with DNS resolution tools"],"requires":["Alterx binary installed (Go-based tool)","Optional: custom pattern wordlists"],"input_types":["target domain (string, e.g., 'example.com')","pattern configuration (naming patterns, wordlists)","optional: mutation rules"],"output_types":["generated subdomain candidates (subdomain name list)","structured findings (generated subdomain, pattern used)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_3","uri":"capability://tool.use.integration.sql.injection.detection.and.exploitation.via.sqlmap","name":"sql injection detection and exploitation via sqlmap","description":"Integrates SQLmap's automated SQL injection testing engine through MCP, enabling agents to identify and exploit SQL injection vulnerabilities without manual payload crafting. The MCP wrapper handles parameter enumeration, injection point detection, database fingerprinting, and data extraction. SQLmap's extensive payload library and detection heuristics are exposed through simplified MCP parameters (target URL, detection level, risk level), abstracting the complexity of SQL injection testing.","intents":["I want my agent to automatically test a web application for SQL injection vulnerabilities","I need to extract database contents from a vulnerable application without manual SQL payload construction","I want to assess SQL injection risk with configurable detection sensitivity (fast vs thorough)"],"best_for":["Penetration testers automating SQL injection assessment","Security researchers evaluating application database security","AI agents performing comprehensive web application vulnerability scanning"],"limitations":["SQLmap can be slow on large parameter sets — may require 10+ minutes for thorough testing with high risk/detection levels","False positives possible with certain WAF/IPS configurations — detection heuristics may misidentify benign responses as vulnerable","Requires network access to target — cannot test offline or against firewalled applications","Database extraction is time-consuming — dumping large tables can take hours depending on injection type and network latency","Modern WAF/IPS systems often block SQLmap patterns — may fail against well-protected targets"],"requires":["SQLmap binary installed (Python-based tool)","Target web application with form parameters or URL query strings","Network connectivity to target application"],"input_types":["target URL with parameters (string, e.g., 'http://target.com/page.php?id=1')","HTTP method (GET/POST)","detection level (1-5, where 1=fast, 5=thorough)","risk level (1-3, where 1=safe, 3=destructive)","optional: custom cookies, headers, authentication credentials"],"output_types":["vulnerability assessment (vulnerable parameters, injection type, DBMS detected)","database metadata (tables, columns, user accounts)","extracted data (table contents, sensitive information)","exploitation proof (SQL queries executed, data retrieved)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_4","uri":"capability://tool.use.integration.web.content.discovery.and.parameter.fuzzing.via.ffuf","name":"web content discovery and parameter fuzzing via ffuf","description":"Exposes FFUF's high-speed fuzzing engine through MCP for discovering hidden web directories, files, and parameters. FFUF uses wordlist-based fuzzing with configurable matching strategies (status code, response size, regex patterns) to identify web resources. The MCP wrapper handles wordlist selection, filter configuration, and result parsing, enabling agents to discover attack surface without manual fuzzing configuration. Supports both directory discovery and parameter fuzzing workflows.","intents":["I want to discover hidden directories and files on a web server without manual enumeration","I need to fuzz HTTP parameters to find injection points or hidden functionality","I want to identify backup files, admin panels, or other sensitive resources"],"best_for":["Web penetration testers discovering application attack surface","Security researchers identifying hidden endpoints","AI agents performing comprehensive web reconnaissance"],"limitations":["Wordlist quality directly impacts discovery — generic wordlists miss custom or obfuscated endpoints","WAF/rate limiting can block fuzzing — FFUF may be blocked after high request volume","False positives from custom error pages — applications with catch-all handlers may report false discoveries","Fuzzing speed depends on target responsiveness — slow applications can take hours to fuzz large wordlists","No semantic understanding — cannot distinguish between legitimate endpoints and false positives without additional validation"],"requires":["FFUF binary installed (Go-based tool)","Wordlist files (directory names, parameter names, file extensions)","Target web server accessible via HTTP/HTTPS"],"input_types":["target URL with fuzzing placeholder (string, e.g., 'http://target.com/FUZZ')","wordlist file path (newline-delimited strings)","matching strategy (status codes, response size, regex patterns)","filter strategy (exclude status codes, response size ranges)"],"output_types":["discovered resources (URLs with status codes, response sizes)","structured findings (endpoint path, HTTP status, content type, response size)","filtered results (high-confidence discoveries based on matching criteria)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_5","uri":"capability://tool.use.integration.network.service.discovery.and.port.scanning.via.nmap","name":"network service discovery and port scanning via nmap","description":"Integrates Nmap's comprehensive network scanning capabilities through MCP, enabling agents to discover open ports, identify services, and perform OS fingerprinting. The MCP wrapper handles scan type selection (SYN, UDP, comprehensive), timing profiles, and output parsing. Nmap's extensive service database and version detection are exposed through simplified MCP parameters, allowing agents to perform network reconnaissance without understanding Nmap's complex CLI flags.","intents":["I want to discover open ports and services on a target network without manual Nmap invocation","I need to identify service versions for vulnerability correlation","I want to perform OS fingerprinting to understand target infrastructure"],"best_for":["Network penetration testers performing infrastructure reconnaissance","Security researchers mapping network topology","AI agents conducting comprehensive network vulnerability assessment"],"limitations":["Nmap scanning can be slow on large networks — full port scans on /16 networks can take hours","Firewall/IDS evasion is limited — aggressive scanning may trigger alerts or be blocked","Service version detection relies on banner grabbing — some services don't advertise versions or use custom protocols","OS fingerprinting accuracy varies — modern systems may not provide enough information for confident identification","Requires network access — cannot scan firewalled or air-gapped networks"],"requires":["Nmap binary installed (C-based tool)","Network access to target hosts/networks","Appropriate permissions (root/administrator for SYN scans on Unix-like systems)"],"input_types":["target IP address or CIDR range (string, e.g., '192.168.1.0/24')","scan type (SYN, UDP, comprehensive, aggressive)","port specification (common ports, all ports, specific port list)","timing profile (paranoid, sneaky, polite, normal, aggressive, insane)"],"output_types":["open ports list (port number, protocol, service name)","structured scan results (JSON with port, service, version, state)","service version information (software name, version, product details)","OS fingerprinting results (operating system, confidence level)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_6","uri":"capability://tool.use.integration.high.speed.network.scanning.via.masscan","name":"high-speed network scanning via masscan","description":"Exposes Masscan's ultra-fast network scanning capabilities through MCP for rapid port discovery across large networks. Masscan uses custom TCP/IP stack for speed, enabling scanning of entire networks in minutes. The MCP wrapper handles rate limiting, port specification, and output parsing. Unlike Nmap's comprehensive approach, Masscan prioritizes speed for initial reconnaissance, discovering open ports without service version detection.","intents":["I want to quickly scan large networks (Class B/C) for open ports without waiting hours","I need rapid initial reconnaissance to identify targets for detailed scanning","I want to discover all open ports across a network segment in minutes"],"best_for":["Large-scale network reconnaissance requiring speed","Initial attack surface mapping before detailed scanning","Continuous monitoring of network changes"],"limitations":["Masscan provides only port state — no service version detection or OS fingerprinting","Requires raw socket access — must run as root/administrator","Can generate significant network traffic — may trigger IDS/IPS alerts on monitored networks","Output is minimal — requires follow-up with Nmap for detailed service information","Custom TCP/IP stack can cause compatibility issues with certain network configurations"],"requires":["Masscan binary installed (C-based tool)","Root or administrator privileges (raw socket access)","Network access to target networks"],"input_types":["target IP address or CIDR range (string, e.g., '10.0.0.0/8')","port specification (common ports, all ports, specific port list)","rate limiting (packets per second)"],"output_types":["open ports list (IP address, port number, protocol)","structured scan results (JSON with IP, port, state)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_7","uri":"capability://tool.use.integration.wordpress.specific.vulnerability.scanning.via.wpscan","name":"wordpress-specific vulnerability scanning via wpscan","description":"Integrates WPScan's WordPress security scanner through MCP, enabling agents to identify plugin vulnerabilities, theme issues, and WordPress misconfigurations. WPScan maintains a database of known WordPress vulnerabilities and performs enumeration of installed plugins/themes. The MCP wrapper handles vulnerability database updates, enumeration options, and result parsing, allowing agents to assess WordPress security without manual WPScan configuration.","intents":["I want to scan WordPress installations for known plugin and theme vulnerabilities","I need to enumerate installed plugins and themes to identify outdated components","I want to identify WordPress misconfigurations and security issues"],"best_for":["WordPress security auditors and penetration testers","Managed WordPress hosting providers performing security assessments","AI agents scanning WordPress-based web applications"],"limitations":["WPScan requires internet connectivity for vulnerability database updates — offline scanning not supported","Plugin enumeration can be blocked by WordPress hardening plugins — some sites prevent plugin discovery","Vulnerability database is community-maintained — may have gaps or outdated information","False positives possible — vulnerability database may flag plugins that are patched in specific versions","WPScan API rate limiting — free tier has limited requests per day"],"requires":["WPScan gem installed (Ruby-based tool)","Target WordPress installation accessible via HTTP/HTTPS","Internet connectivity for vulnerability database updates","Optional: WPScan API key for enhanced scanning (free tier has rate limits)"],"input_types":["WordPress site URL (string, e.g., 'http://wordpress.example.com')","enumeration options (plugins, themes, users, config backups)","vulnerability database update flag"],"output_types":["installed plugins list (plugin name, version, vulnerability status)","installed themes list (theme name, version, vulnerability status)","vulnerability findings (CVE ID, severity, affected plugin/theme, remediation)","WordPress configuration issues (outdated version, insecure settings)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_8","uri":"capability://tool.use.integration.ssl.tls.configuration.analysis.via.sslscan","name":"ssl/tls configuration analysis via sslscan","description":"Exposes SSLScan's SSL/TLS security assessment capabilities through MCP, enabling agents to analyze cipher strength, certificate validity, and protocol support. SSLScan performs handshake analysis to identify weak ciphers, deprecated protocols (SSLv3, TLSv1.0), and certificate issues. The MCP wrapper handles scan configuration and output parsing, converting SSLScan's detailed output into structured security findings with remediation guidance.","intents":["I want to assess SSL/TLS configuration security on a target server","I need to identify weak ciphers or deprecated protocols that should be disabled","I want to validate certificate configuration and identify certificate-related issues"],"best_for":["Security auditors assessing HTTPS configuration","Infrastructure teams validating TLS hardening","AI agents performing comprehensive security assessment"],"limitations":["SSLScan only analyzes TLS configuration — cannot identify application-level vulnerabilities","Certificate validation is limited — cannot verify certificate chain trust without additional tools","Cipher strength assessment is static — doesn't account for implementation vulnerabilities in specific cipher suites","No support for client certificate analysis — focuses on server-side TLS configuration"],"requires":["SSLScan binary installed (C-based tool)","Target server accessible via HTTPS (port 443 or custom HTTPS port)","Network connectivity to target"],"input_types":["target hostname or IP address (string)","HTTPS port (default 443)","optional: custom certificate verification options"],"output_types":["cipher analysis (cipher name, strength, key exchange, authentication)","protocol support (TLS versions supported, deprecated protocols detected)","certificate information (issuer, subject, validity dates, key size)","security findings (weak ciphers, deprecated protocols, certificate issues)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-cyproxio-mcp-for-security__cap_9","uri":"capability://tool.use.integration.http.security.header.validation.and.compliance.checking","name":"http security header validation and compliance checking","description":"Implements HTTP security header analysis through MCP, enabling agents to assess compliance with OWASP security header standards (Content-Security-Policy, X-Frame-Options, Strict-Transport-Security, etc.). The tool analyzes HTTP response headers against security best practices, identifying missing headers and misconfigurations. Results include specific remediation guidance for each missing or misconfigured header.","intents":["I want to audit HTTP security headers on a web application for OWASP compliance","I need to identify missing security headers that should be implemented","I want to validate that security headers are correctly configured"],"best_for":["Web application security auditors","DevSecOps teams validating security header configuration","AI agents performing comprehensive web security assessment"],"limitations":["Header analysis is static — cannot detect implementation vulnerabilities in header handling","No context-aware validation — cannot determine if header values are appropriate for specific application","Limited to HTTP headers — cannot assess other security mechanisms (CORS, authentication, etc.)","False positives possible — some applications intentionally omit headers for compatibility reasons"],"requires":["Target web application accessible via HTTP/HTTPS","Network connectivity to target"],"input_types":["target URL (string)","optional: custom security header standards or compliance framework (OWASP, PCI-DSS, etc.)"],"output_types":["header analysis (header name, current value, compliance status)","missing headers list (header name, purpose, recommended value)","misconfigured headers (header name, current value, recommended value)","compliance report (OWASP compliance percentage, specific recommendations)"],"categories":["tool-use-integration","security-automation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+ (TypeScript runtime for MCP servers)","Individual security tools installed and in PATH (Nmap, SQLmap, Nuclei, FFUF, etc.)","MCP-compatible client (Claude Desktop, custom MCP client, or Cline IDE extension)","Unix-like environment (Linux/macOS) — Windows support varies by underlying tool","Internet connectivity for querying public data sources","Amass binary installed (Go-based tool)","Assetfinder binary installed (Go-based tool)","Optional: API keys for enhanced data sources (Shodan, VirusTotal, etc.)","Smuggler binary installed (Python-based tool)","Target web application accessible via HTTP/HTTPS"],"failure_modes":["Abstraction adds latency per tool invocation — MCP serialization/deserialization overhead ~50-200ms depending on output size","Tool output parsing relies on regex/text extraction rather than structured APIs — fragile to tool version changes","No built-in result caching or deduplication across multiple tool runs — duplicate reconnaissance requests execute independently","Security context isolation depends on host OS permissions — MCP server runs with same privileges as parent process","Passive enumeration is incomplete — only discovers subdomains that have been indexed/logged publicly, missing internal or recently created assets","Certificate transparency logs have ~24-48 hour lag — won't find very recently issued certificates","Archive.org coverage is inconsistent — some domains have sparse historical data","DNS brute-forcing (shuffledns) requires wordlist quality — generic wordlists miss custom subdomains","Smuggler detection relies on response timing and behavior analysis — may produce false positives/negatives","Requires specific HTTP parser configurations to be vulnerable — modern frameworks often mitigate smuggling","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.3875832528475963,"quality":0.5,"ecosystem":0.7000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-05-03T14:23:34.856Z","last_commit":"2026-03-30T17:37:45Z"},"community":{"stars":608,"forks":99,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-cyproxio-mcp-for-security","compare_url":"https://unfragile.ai/compare?artifact=mcp-cyproxio-mcp-for-security"}},"signature":"RodrFJvdvaCkaHsyA/ewsb4E6LKfC4EBnx/Y+YhESuyaY9MOWesvQVtGYLF46T6iNsNOF2JqEaE/5jc90dAiAg==","signedAt":"2026-06-22T20:55:52.314Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-cyproxio-mcp-for-security","artifact":"https://unfragile.ai/mcp-cyproxio-mcp-for-security","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-cyproxio-mcp-for-security","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}