{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-mcpwatch","slug":"mcpwatch","name":"MCPWatch","type":"cli","url":"https://github.com/kapilduraphe/mcp-watch","page_url":"https://unfragile.ai/mcpwatch","categories":["mcp-servers","code-review-security"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-mcpwatch__cap_0","uri":"capability://safety.moderation.multi.scanner.vulnerability.orchestration.with.parallel.execution","name":"multi-scanner vulnerability orchestration with parallel execution","description":"Coordinates 11 specialized vulnerability detection scanners through the MCPScanner orchestrator class using a pipeline pattern that manages repository cloning, parallel scanner execution, result aggregation, and cleanup operations. Each scanner extends an AbstractScanner base class providing common utilities for credential sanitization, file system operations, and result formatting, enabling modular vulnerability detection across MCP server implementations.","intents":["I need to scan an MCP server repository for all known vulnerability categories in one operation","I want to run multiple security checks in parallel to reduce total scan time","I need to aggregate results from different vulnerability detectors into a unified report"],"best_for":["security researchers analyzing MCP implementations at scale","DevSecOps teams integrating MCP security scanning into CI/CD pipelines","MCP server developers performing comprehensive pre-deployment security audits"],"limitations":["Parallel execution adds memory overhead proportional to number of scanners (11 concurrent processes)","Repository cloning and cleanup operations add latency for large codebases (>500MB)","No built-in caching of scan results across multiple runs of the same repository"],"requires":["Node.js 18+","Git installed and accessible in system PATH","GitHub repository URL with public or authenticated access","Sufficient disk space for temporary repository clones"],"input_types":["GitHub repository URL (string)","Severity filter level (enum: critical, high, medium, low)","Vulnerability category filter (optional, string array)"],"output_types":["JSON structured vulnerability report","Console formatted text output","Aggregated vulnerability counts by category and severity"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_1","uri":"capability://safety.moderation.hardcoded.credential.and.secret.detection.with.sanitization","name":"hardcoded credential and secret detection with sanitization","description":"Implements CredentialScanner that detects hardcoded API keys, tokens, and insecure credential storage patterns in MCP server code using pattern matching against known credential formats (AWS keys, OpenAI tokens, private keys, etc.). The scanner includes built-in credential sanitization utilities in the AbstractScanner base class to mask sensitive data in reports, preventing accidental exposure of discovered secrets.","intents":["I need to find hardcoded API keys and tokens in my MCP server before deploying to production","I want to ensure credential reports don't expose the actual secrets when shared with the team","I need to detect insecure credential storage patterns like plaintext environment variables"],"best_for":["developers securing MCP servers against credential leakage vulnerabilities","security teams conducting pre-deployment credential audits","CI/CD pipeline operators preventing accidental secret commits"],"limitations":["Pattern-based detection may produce false positives for legitimate test credentials or mock values","Cannot detect dynamically-generated credentials or those loaded from external services at runtime","Sanitization masks secrets in output but doesn't remove them from source code"],"requires":["Node.js 18+","Access to MCP server source code files","Support for JavaScript/TypeScript, Python, and shell script files"],"input_types":["Source code files (JavaScript, TypeScript, Python, shell scripts)","Configuration files (JSON, YAML, .env files)","Dependency manifests (package.json, requirements.txt)"],"output_types":["Vulnerability objects with credential type, location, and severity","Sanitized credential patterns (masked with asterisks)","File path and line number references"],"categories":["safety-moderation","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_10","uri":"capability://automation.workflow.concurrent.scanner.execution.with.result.aggregation","name":"concurrent scanner execution with result aggregation","description":"Executes all 11 vulnerability scanners in parallel using asynchronous operations, aggregating results from each scanner into a unified report. 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All specialized scanners extend this base class to inherit common functionality, reducing code duplication and ensuring consistent vulnerability reporting across all scanner implementations. Utilities include regex-based pattern matching, file reading, and credential masking.","intents":["I want all scanners to use consistent credential sanitization to prevent secret exposure","I need common file system operations available to all custom scanners","I want standardized vulnerability object formatting across all scanner types"],"best_for":["developers extending mcp-watch with custom scanners","teams maintaining consistent security scanning standards","projects requiring standardized vulnerability reporting"],"limitations":["Base class utilities may not cover all use cases, requiring custom implementations in some scanners","Credential sanitization patterns are predefined and cannot be customized per scanner","File system operations are synchronous and may block on large files","Error handling in base class may mask specific error details from custom scanners"],"requires":["Node.js 18+","TypeScript knowledge for extending AbstractScanner","Understanding of base class interface and available utilities"],"input_types":["File paths for reading and analysis","Vulnerability data for formatting","Credential patterns for sanitization"],"output_types":["Standardized vulnerability objects","Sanitized credential strings","Formatted error messages"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_2","uri":"capability://safety.moderation.tool.poisoning.and.malicious.function.detection","name":"tool poisoning and malicious function detection","description":"Implements ToolPoisoningScanner that detects hidden malicious code, suspicious function implementations, and tool poisoning attacks in MCP server tool definitions. The scanner analyzes function signatures, implementation patterns, and data flow to identify code that may exfiltrate data, execute arbitrary commands, or bypass security controls through the MCP tool interface.","intents":["I need to detect if my MCP server tools contain hidden malicious code or suspicious implementations","I want to identify tools that might exfiltrate data or execute unintended system commands","I need to scan for tool poisoning attacks that could compromise connected AI systems"],"best_for":["MCP server developers protecting against supply chain attacks","security teams auditing third-party MCP tool implementations","AI safety researchers analyzing MCP server security posture"],"limitations":["Heuristic-based detection may miss sophisticated obfuscated malicious code","Cannot detect attacks that rely on external service calls or network-based exfiltration","False positives possible for legitimate use cases like logging, monitoring, or data aggregation"],"requires":["Node.js 18+","Access to MCP server tool definitions and implementations","Support for JavaScript/TypeScript and Python function analysis"],"input_types":["MCP tool definition files","Tool implementation source code","Function signatures and parameter definitions"],"output_types":["Vulnerability objects with suspicious pattern type and location","Risk assessment based on data flow analysis","Recommended remediation steps"],"categories":["safety-moderation","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_3","uri":"capability://safety.moderation.parameter.injection.and.protocol.violation.detection","name":"parameter injection and protocol violation detection","description":"Implements scanners that detect parameter injection vulnerabilities, improper input validation, and MCP protocol violations in server implementations. The detection engine analyzes how MCP servers handle tool parameters, resource requests, and protocol messages to identify injection attack vectors, missing validation, and deviations from the MCP specification that could enable exploitation.","intents":["I need to find parameter injection vulnerabilities in my MCP server's tool implementations","I want to ensure my MCP server properly validates all incoming parameters and protocol messages","I need to verify my MCP server implementation complies with the protocol specification"],"best_for":["MCP server developers implementing secure parameter handling","security auditors verifying protocol compliance","teams building MCP servers that handle untrusted input from AI systems"],"limitations":["Detection relies on static analysis and may miss runtime injection vulnerabilities","Cannot validate dynamic validation logic that depends on runtime state","Protocol violation detection requires knowledge of MCP specification version being used"],"requires":["Node.js 18+","MCP server source code with tool and resource definitions","Knowledge of MCP protocol specification for compliance checking"],"input_types":["Tool parameter definitions and handlers","Resource request handlers","Protocol message processing code","Input validation implementations"],"output_types":["Injection vulnerability locations with attack vector details","Missing validation warnings with parameter names","Protocol violation reports with specification references"],"categories":["safety-moderation","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_4","uri":"capability://safety.moderation.research.backed.vulnerability.pattern.matching","name":"research-backed vulnerability pattern matching","description":"Integrates vulnerability detection patterns derived from authoritative security research sources including the VulnerableMCP database, HiddenLayer research on parameter injection attacks, and Trail of Bits credential security analysis. The system maps research findings to specialized scanner implementations, enabling detection of known MCP vulnerability categories with patterns informed by real-world attack research and security best practices.","intents":["I want my MCP security scanning to be based on current security research and known attack patterns","I need to ensure my vulnerability detection covers all categories identified by security researchers","I want to understand which research sources informed each vulnerability detection rule"],"best_for":["security-conscious MCP developers wanting research-backed vulnerability detection","organizations requiring evidence-based security scanning for compliance","security researchers studying MCP vulnerability patterns"],"limitations":["Detection patterns may lag behind newly discovered vulnerabilities until research is published and integrated","Research sources may have different severity classifications requiring normalization","Pattern updates require code changes and new releases rather than dynamic rule updates"],"requires":["Node.js 18+","Access to current MCP security research and vulnerability databases","Understanding of research sources and their vulnerability classifications"],"input_types":["MCP server source code","Configuration and deployment files","Dependency manifests"],"output_types":["Vulnerability reports with research source attribution","Severity classifications aligned with research findings","References to research papers and vulnerability databases"],"categories":["safety-moderation","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_5","uri":"capability://data.processing.analysis.severity.based.filtering.and.categorized.reporting","name":"severity-based filtering and categorized reporting","description":"Implements configurable severity filtering (critical, high, medium, low) and vulnerability category filtering that allows users to focus scan results on relevant threats. The reporting system aggregates vulnerabilities by category and severity, providing both detailed findings and summary statistics. Users can filter results before or after scanning to customize output based on risk tolerance and compliance requirements.","intents":["I only want to see critical and high severity vulnerabilities in my scan results","I need to filter results by vulnerability category to focus on specific attack vectors","I want a summary report showing vulnerability counts by severity and category"],"best_for":["developers triaging security findings by priority","security teams filtering results for compliance reporting","CI/CD pipelines enforcing severity thresholds for build gates"],"limitations":["Severity filtering is applied post-scan, requiring full scan execution even if only high-severity results are needed","Category filtering may exclude related vulnerabilities that span multiple categories","Custom severity thresholds cannot be defined; only predefined levels are supported"],"requires":["Node.js 18+","CLI arguments for severity and category filters","Understanding of vulnerability severity classifications"],"input_types":["Severity level filter (critical, high, medium, low)","Vulnerability category filter (optional, array of category names)","Full scan results (JSON or console output)"],"output_types":["Filtered vulnerability list","Summary statistics by severity and category","Formatted console or JSON output"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_6","uri":"capability://data.processing.analysis.multi.format.output.generation.json.and.console","name":"multi-format output generation (json and console)","description":"Generates vulnerability reports in multiple output formats including structured JSON for programmatic consumption and human-readable console output with formatting. The CLI interface routes scan results to the appropriate formatter based on user selection, enabling integration with downstream tools, dashboards, and reporting systems while maintaining readability for direct terminal use.","intents":["I need JSON output to integrate scan results into my security dashboard or SIEM","I want human-readable console output for quick review of scan results","I need to pipe scan results to other tools for further processing or analysis"],"best_for":["DevSecOps teams integrating scanning into automated pipelines","developers reviewing results directly in the terminal","security platforms consuming vulnerability data from multiple sources"],"limitations":["JSON output schema is fixed and cannot be customized for specific integration needs","Console output formatting may not preserve all vulnerability details compared to JSON","No support for other formats (CSV, XML, SARIF) that some tools require"],"requires":["Node.js 18+","CLI argument for output format selection (--format json or --format console)","Standard output stream for console format or file system access for JSON output"],"input_types":["Scan results from MCPScanner orchestrator","Output format selection (json, console)","Optional output file path"],"output_types":["JSON structured vulnerability report with metadata","Formatted console text with colors and indentation","File output or stdout stream"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_7","uri":"capability://automation.workflow.github.repository.cloning.and.temporary.file.management","name":"github repository cloning and temporary file management","description":"Handles secure cloning of GitHub repositories to temporary directories for local analysis, with automatic cleanup after scanning completes. The system manages file system operations including directory creation, repository cloning via Git, file reading for vulnerability analysis, and cleanup of temporary artifacts. Error handling ensures cleanup occurs even if scanning fails, preventing disk space leaks.","intents":["I need to analyze an MCP server from a GitHub repository without manually cloning it","I want the scanner to automatically clean up temporary files after analysis","I need to scan multiple repositories in sequence without manual cleanup between scans"],"best_for":["security researchers analyzing multiple MCP repositories","CI/CD pipelines that need to scan repositories on-demand","developers running scans without manual repository management"],"limitations":["Temporary directory cleanup may fail on Windows if files are locked by other processes","Large repositories (>500MB) add significant latency to clone and cleanup operations","No support for private repositories without GitHub authentication configuration","Cloning creates full repository copies consuming disk space proportional to repository size"],"requires":["Node.js 18+","Git installed and accessible in system PATH","GitHub repository URL (public or authenticated access)","Sufficient disk space for temporary repository clones","Write permissions to system temporary directory"],"input_types":["GitHub repository URL (string)","Optional GitHub authentication token for private repositories"],"output_types":["Local file system path to cloned repository","Cleanup confirmation after scan completion"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_8","uri":"capability://tool.use.integration.extensible.scanner.plugin.architecture","name":"extensible scanner plugin architecture","description":"Implements an extensible scanner system where each vulnerability detector extends the AbstractScanner base class, providing common utilities and enforcing a consistent interface. New scanners can be added by extending the base class and registering with the MCPScanner orchestrator. The architecture enables community contributions and custom vulnerability detection without modifying core orchestration logic.","intents":["I want to add custom vulnerability detection for my organization's specific MCP security requirements","I need to extend the scanner with new vulnerability categories as threats evolve","I want to contribute new scanners to the mcp-watch project"],"best_for":["security teams building custom vulnerability detectors","open-source contributors extending mcp-watch capabilities","organizations with domain-specific MCP security requirements"],"limitations":["Adding new scanners requires code changes and recompilation; no dynamic plugin loading","Custom scanners must follow the AbstractScanner interface and may have limited access to orchestrator internals","No standardized testing framework for custom scanner validation","Documentation for extending scanners may be incomplete or outdated"],"requires":["Node.js 18+","TypeScript knowledge for implementing custom scanners","Understanding of AbstractScanner base class interface","Familiarity with mcp-watch architecture and scanner registration"],"input_types":["Custom scanner class extending AbstractScanner","Vulnerability detection logic implementation","Scanner registration with MCPScanner orchestrator"],"output_types":["Vulnerability objects conforming to standard format","Integration with existing filtering and reporting systems"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpwatch__cap_9","uri":"capability://automation.workflow.commander.js.cli.argument.parsing.and.routing","name":"commander.js cli argument parsing and routing","description":"Implements command-line interface using Commander.js library to parse user arguments, validate inputs, and route scan requests to the MCPScanner orchestrator. The CLI supports multiple options including repository URL, output format, severity filtering, and category filtering. Argument parsing includes validation and helpful error messages for invalid inputs.","intents":["I need a simple command-line interface to run MCP security scans","I want to specify scan options like output format and severity filters via CLI arguments","I need clear error messages when I provide invalid arguments"],"best_for":["developers running scans from the terminal","CI/CD pipelines invoking mcp-watch as a subprocess","security teams automating scanning with shell scripts"],"limitations":["CLI argument parsing is synchronous and may block on large argument lists","No support for configuration files; all options must be specified as CLI arguments","Help text and error messages are static and cannot be customized per user","No interactive mode for guided scanning configuration"],"requires":["Node.js 18+","Commander.js library (included in dependencies)","Understanding of CLI argument syntax"],"input_types":["Repository URL (positional argument)","--format (json or console)","--severity (critical, high, medium, low)","--category (optional, comma-separated list)"],"output_types":["Routed scan request to MCPScanner orchestrator","Error messages for invalid arguments","Help text and usage information"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+","Git installed and accessible in system PATH","GitHub repository URL with public or authenticated access","Sufficient disk space for temporary repository clones","Access to MCP server source code files","Support for JavaScript/TypeScript, Python, and shell script files","Sufficient system memory for concurrent scanner processes","Adequate CPU cores for meaningful parallelization","TypeScript knowledge for extending AbstractScanner","Understanding of base class interface and available utilities"],"failure_modes":["Parallel execution adds memory overhead proportional to number of scanners (11 concurrent processes)","Repository cloning and cleanup operations add latency for large codebases (>500MB)","No built-in caching of scan results across multiple runs of the same repository","Pattern-based detection may produce false positives for legitimate test credentials or mock values","Cannot detect dynamically-generated credentials or those loaded from external services at runtime","Sanitization masks secrets in output but doesn't remove them from source code","Parallel execution increases memory usage proportional to number of concurrent scanners","Resource contention may occur on systems with limited CPU or disk I/O capacity","Concurrent file system operations may cause lock contention on some systems","Error in one scanner does not prevent others from executing, but may affect final report completeness","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.49,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:18.053Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcpwatch","compare_url":"https://unfragile.ai/compare?artifact=mcpwatch"}},"signature":"LGAXrulJTFaGiK4KMT3Y7b6Zrbmi6tZOHyjUbScaP9OCgXJpFro+5eXb9VMNJ7EbLy/+T3hX/aZbMkHx3dMSBA==","signedAt":"2026-06-20T21:31:28.031Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcpwatch","artifact":"https://unfragile.ai/mcpwatch","verify":"https://unfragile.ai/api/v1/verify?slug=mcpwatch","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"}}