{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github_mcp-snyk-agent-scan","slug":"mcp-snyk-agent-scan","name":"agent-scan","type":"cli","url":"https://github.com/snyk/agent-scan","page_url":"https://unfragile.ai/mcp-snyk-agent-scan","categories":["code-review-security"],"tags":["agent","ai","mcp","modelcontextprotocol","security"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github_mcp-snyk-agent-scan__cap_0","uri":"capability://safety.moderation.mcp.server.static.vulnerability.scanning.via.natural.language.analysis","name":"mcp server static vulnerability scanning via natural-language analysis","description":"Connects to live MCP servers using the MCPScanner class, retrieves tool/prompt/resource descriptions and configurations, and submits natural-language content to the Invariant analysis API for vulnerability detection. Uses a two-stage pipeline: MCP client layer establishes connections and enumerates server capabilities, then the analysis pipeline extracts and redacts sensitive data before remote submission for LLM-based threat detection.","intents":["Scan an MCP server for prompt injection vulnerabilities hidden in tool descriptions","Detect tool poisoning attacks where malicious descriptions trick agents into unintended actions","Identify toxic flows — chains of tool calls across multiple MCP servers that combine to produce dangerous behavior","Audit MCP infrastructure before deploying agents in production"],"best_for":["DevSecOps teams managing MCP server deployments","AI agent developers integrating third-party MCP tools","Enterprise security teams auditing agent supply chains"],"limitations":["Requires network connectivity to Invariant analysis API — no fully offline mode for static scanning","Analysis latency depends on Invariant API response time; scanning large MCP servers with 50+ tools may take 30-60 seconds","Cannot detect vulnerabilities in tool behavior at runtime — only analyzes static descriptions and configurations","Requires MCP server to be running and accessible during scan; does not support scanning from binary artifacts or archived configurations"],"requires":["Python 3.9+","Network access to Invariant analysis API endpoint","Valid MCP server endpoint (stdio, SSE, or HTTP transport)","MCP server credentials if authentication is required"],"input_types":["MCP server endpoint (URI)","MCP configuration file (JSON/YAML with server definitions)","Tool/prompt/resource descriptions (natural language text)"],"output_types":["Structured vulnerability report (JSON)","Risk severity scores (critical, high, medium, low)","Remediation guidance per vulnerability"],"categories":["safety-moderation","security-scanning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_1","uri":"capability://safety.moderation.dynamic.mcp.traffic.interception.and.guardrailing.via.proxy.gateway","name":"dynamic mcp traffic interception and guardrailing via proxy gateway","description":"Injects the Invariant Gateway into MCP client configurations to intercept live MCP traffic at runtime without modifying agent code. The proxy command rewrites client configuration files to route all MCP calls through a FastAPI-based mcp_scan_server that validates requests/responses against security policies before forwarding to actual MCP servers. Implements real-time policy enforcement with session-based state tracking and configurable guardrails.","intents":["Block prompt injection attempts in tool calls before they reach MCP servers","Enforce security policies on tool usage in production agent deployments","Monitor and log all MCP traffic for compliance and incident investigation","Prevent agents from calling dangerous tool combinations that create toxic flows"],"best_for":["Production AI agent deployments requiring runtime security enforcement","Teams implementing zero-trust policies for agent-to-tool communication","Enterprises needing audit trails of all agent-MCP interactions"],"limitations":["Adds network latency per MCP call (proxy round-trip overhead); typical latency ~50-200ms depending on policy complexity","Requires modification of MCP client configuration files — incompatible with agents that hardcode server endpoints","Policy evaluation is synchronous — cannot handle high-throughput scenarios (>1000 calls/sec) without horizontal scaling","Session state is in-memory by default; requires external persistence layer (Redis, database) for multi-instance deployments"],"requires":["Python 3.9+","FastAPI 0.100+","MCP client configuration file (JSON/YAML) with server definitions","Network access between agent and proxy server (localhost or internal network)","Policy definitions (YAML or JSON format)"],"input_types":["MCP client configuration (JSON/YAML)","Security policies (YAML/JSON with rules)","MCP request/response payloads (JSON)"],"output_types":["Proxied MCP responses (JSON)","Policy violation logs (structured JSON)","Session audit trail (request/response history)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_10","uri":"capability://automation.workflow.session.based.state.tracking.and.audit.logging","name":"session-based state tracking and audit logging","description":"Maintains session-based state for MCP interactions in proxy mode, tracking tool calls, responses, and policy decisions across multiple requests. Stores session state in memory or external persistence layer (Redis, database) and generates comprehensive audit logs of all MCP activity. Enables stateful policy enforcement (e.g., preventing toxic tool chains) and compliance auditing.","intents":["Track sequences of tool calls to detect and prevent toxic flows across multiple requests","Maintain audit trails of all MCP interactions for compliance and incident investigation","Implement stateful policies that depend on call history or context","Debug agent behavior by reviewing complete session history"],"best_for":["Organizations requiring comprehensive audit trails for compliance","Teams implementing stateful security policies for agent systems","Enterprises investigating security incidents or agent misbehavior"],"limitations":["In-memory session storage does not persist across proxy restarts; requires external persistence layer for production","Session state grows with interaction history; long-running sessions may consume significant memory","Audit log storage can become very large for high-volume agent deployments; requires log rotation and archival","Session cleanup requires manual configuration; expired sessions may accumulate if not properly managed"],"requires":["Python 3.9+","MCP proxy server running","External persistence layer (Redis, database) for production deployments (optional for development)"],"input_types":["MCP request/response payloads (JSON)","Session context (user, agent, timestamp)","Policy decisions (allow/deny/require-approval)"],"output_types":["Session state (tool call history, context)","Audit log (structured JSON with all interactions)","Session report (summary of activity)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_11","uri":"capability://automation.workflow.traffic.capture.and.debugging.for.mcp.interactions","name":"traffic capture and debugging for mcp interactions","description":"Captures and logs all MCP traffic (requests, responses, errors) for debugging and analysis. Provides detailed logging of MCP client-server interactions including payloads, timing, and error details. Supports traffic export in multiple formats (JSON, HAR) for analysis in external tools. Enables troubleshooting of MCP connectivity issues and understanding of agent behavior.","intents":["Debug MCP connectivity issues and server communication problems","Analyze MCP traffic to understand agent behavior and tool usage patterns","Export MCP traffic for analysis in external tools or security review","Troubleshoot policy enforcement issues by reviewing actual MCP interactions"],"best_for":["Developers debugging MCP integration issues","Security teams analyzing agent behavior and tool usage","DevOps teams troubleshooting MCP server connectivity"],"limitations":["Traffic capture adds overhead; logging all payloads can impact performance (5-10% latency increase)","Captured traffic may contain sensitive data (credentials, PII); requires careful handling and redaction","Large traffic volumes can consume significant disk space; requires log rotation and archival","Traffic analysis requires manual review or external tools; no built-in traffic analysis or pattern detection"],"requires":["Python 3.9+","MCP proxy server running (for traffic capture)","Disk space for traffic logs"],"input_types":["MCP request/response payloads (JSON)","Timing and error information"],"output_types":["Traffic log (JSON or HAR format)","Traffic statistics (request count, latency, error rate)","Traffic export (for external analysis)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_12","uri":"capability://data.processing.analysis.mcp.configuration.file.parsing.and.validation","name":"mcp configuration file parsing and validation","description":"Parses and validates MCP configuration files in JSON and YAML formats, extracting server definitions, authentication credentials, and transport protocol specifications. Validates configuration syntax and schema, detects missing required fields, and provides detailed error messages for invalid configurations. Supports multiple configuration file formats and locations (environment variables, default paths).","intents":["Load MCP server definitions from configuration files for scanning","Validate MCP configuration syntax before using in scanning or proxy operations","Extract server endpoints and authentication credentials from configuration","Detect configuration errors early and provide helpful error messages"],"best_for":["Teams managing MCP configurations in code repositories","DevOps automating MCP scanning in CI/CD pipelines","Developers debugging MCP configuration issues"],"limitations":["Configuration validation is schema-based; custom or non-standard configuration formats are not supported","Does not validate that servers are actually reachable or functional; only validates configuration syntax","Credentials in configuration files are not validated; invalid credentials are only detected at connection time","No support for configuration templating or variable substitution; requires static configuration files"],"requires":["Python 3.9+","MCP configuration file (JSON or YAML)"],"input_types":["MCP configuration file (JSON/YAML)","Configuration file path (string)"],"output_types":["Parsed configuration (Python dict/list)","Validation errors (list of issues)","Server definitions (list of endpoints and credentials)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_2","uri":"capability://safety.moderation.agent.skill.malware.and.supply.chain.vulnerability.detection","name":"agent skill malware and supply chain vulnerability detection","description":"Scans AI agent skills (packaged agent components) for embedded malware payloads, sensitive data handling violations, exposure to untrusted third parties, and hard-coded secrets using static analysis and pattern matching. Analyzes skill code, dependencies, and metadata to identify security risks before skills are integrated into agent systems. Supports both direct skill file scanning and skill registry lookups.","intents":["Detect malware embedded in downloaded agent skills before installation","Identify hard-coded API keys, credentials, or secrets in skill code","Audit skill dependencies for known vulnerabilities and untrusted sources","Prevent skills from accessing sensitive data without proper safeguards"],"best_for":["AI agent developers vetting third-party skills before integration","Security teams managing agent skill repositories and marketplaces","Organizations implementing supply chain security for AI components"],"limitations":["Detects only static secrets and patterns — cannot identify obfuscated or dynamically-generated credentials","Malware detection relies on signature matching and heuristics; zero-day or polymorphic malware may evade detection","Cannot analyze skills in proprietary binary formats; requires source code or standard packaging formats","Dependency analysis requires access to package registries (PyPI, npm, etc.); offline scanning has limited coverage"],"requires":["Python 3.9+","Skill source code or packaged skill file (.zip, .tar.gz, wheel)","Network access to package registries for dependency resolution (optional for offline mode)","Skill metadata file (JSON/YAML with skill definition)"],"input_types":["Skill source code (Python, JavaScript, or other languages)","Packaged skill files (wheel, zip, tar.gz)","Skill metadata (JSON/YAML)","Dependency manifests (requirements.txt, package.json, etc.)"],"output_types":["Malware detection report (JSON with signatures matched)","Secret exposure findings (location, type, severity)","Dependency vulnerability list (CVE references)","Risk assessment score (overall skill safety rating)"],"categories":["safety-moderation","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_3","uri":"capability://safety.moderation.offline.local.vulnerability.inspection.without.remote.submission","name":"offline local vulnerability inspection without remote submission","description":"Provides an offline inspect command that analyzes MCP servers and agent components locally without submitting data to remote APIs. Uses local pattern matching, heuristic analysis, and built-in vulnerability signatures to detect common security issues. Enables security-sensitive organizations to scan infrastructure without external network calls while maintaining privacy of tool descriptions and configurations.","intents":["Scan MCP servers in air-gapped or restricted network environments","Audit agent infrastructure without sending tool descriptions to external services","Perform quick local vulnerability checks before committing to full remote analysis","Maintain privacy of proprietary tool descriptions and agent configurations"],"best_for":["Organizations with strict data residency or privacy requirements","Teams operating in air-gapped or restricted network environments","Security-sensitive deployments where external API calls are prohibited"],"limitations":["Detection accuracy is lower than remote Invariant API analysis — local heuristics miss sophisticated prompt injection patterns","Cannot detect novel or zero-day vulnerabilities that require LLM-based semantic analysis","Requires manual updates to local vulnerability signatures; no automatic threat intelligence updates","Limited to pattern-based detection; cannot perform behavioral or dynamic analysis"],"requires":["Python 3.9+","MCP server endpoint or configuration file","No external network access required"],"input_types":["MCP server endpoint (URI)","MCP configuration file (JSON/YAML)","Tool/prompt/resource descriptions (text)"],"output_types":["Local vulnerability report (JSON)","Risk findings with local heuristic confidence scores","Remediation suggestions based on pattern matches"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_4","uri":"capability://safety.moderation.data.redaction.and.privacy.preserving.submission.pipeline","name":"data redaction and privacy-preserving submission pipeline","description":"Implements automatic data redaction in the scan analysis pipeline to remove or mask sensitive information (credentials, PII, proprietary details) before submitting tool descriptions and configurations to the Invariant analysis API. Uses configurable redaction rules and pattern matching to identify and redact secrets, API keys, email addresses, and other sensitive data. Maintains a redaction audit trail for compliance and debugging.","intents":["Submit MCP tool descriptions to analysis API without exposing hard-coded secrets or credentials","Redact proprietary or confidential information from tool descriptions before external submission","Maintain compliance with data privacy regulations (GDPR, HIPAA) when scanning agent infrastructure","Prevent accidental exposure of sensitive data in vulnerability reports"],"best_for":["Organizations handling regulated data (healthcare, finance, PII)","Teams with strict data governance policies","Enterprises required to maintain data residency or privacy compliance"],"limitations":["Redaction rules are pattern-based; sophisticated obfuscation or encoded secrets may not be detected","Over-aggressive redaction can reduce analysis accuracy by removing context needed for vulnerability detection","Redaction audit trail adds storage overhead; large-scale scanning may require external logging infrastructure","Custom redaction rules require manual configuration and maintenance"],"requires":["Python 3.9+","Redaction rule configuration (YAML/JSON with patterns)","MCP server endpoint or configuration file"],"input_types":["Tool descriptions (natural language text)","Configuration files (JSON/YAML)","MCP request/response payloads"],"output_types":["Redacted tool descriptions (text with sensitive data masked)","Redaction audit log (JSON with redaction events)","Redaction statistics (count and types of redacted items)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_5","uri":"capability://search.retrieval.mcp.server.auto.discovery.and.enumeration","name":"mcp server auto-discovery and enumeration","description":"Automatically discovers and enumerates MCP servers from client configuration files, environment variables, and registry lookups without requiring manual server endpoint specification. Uses the MCP client layer to connect to discovered servers and retrieve their capabilities (tools, prompts, resources) for analysis. Supports multiple MCP transport protocols (stdio, SSE, HTTP) and handles server authentication automatically.","intents":["Scan all MCP servers referenced in an agent's configuration without manual enumeration","Discover MCP servers from environment variables and configuration files automatically","Build a complete inventory of MCP infrastructure and capabilities in an agent system","Audit all connected MCP servers in a single scan operation"],"best_for":["Teams managing complex agent systems with multiple MCP servers","DevOps teams automating security scanning in CI/CD pipelines","Organizations building agent infrastructure inventories"],"limitations":["Auto-discovery requires valid MCP configuration files; cannot discover servers from hardcoded endpoints in agent code","Requires network access to all discovered servers; unreachable servers will fail discovery and halt the scan unless configured to skip","Does not discover MCP servers dynamically created at runtime or loaded from plugins","Authentication discovery is limited to configuration-based credentials; interactive authentication is not supported"],"requires":["Python 3.9+","MCP client configuration file (JSON/YAML) with server definitions","Network access to all MCP servers to be discovered","MCP server credentials if authentication is required"],"input_types":["MCP configuration file (JSON/YAML)","Environment variables with server definitions","MCP registry lookups (if supported)"],"output_types":["Discovered server list (JSON with endpoints and capabilities)","Server capability inventory (tools, prompts, resources per server)","Discovery audit log (connection attempts and results)"],"categories":["search-retrieval","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_6","uri":"capability://safety.moderation.whitelist.management.for.approved.mcp.entities","name":"whitelist management for approved mcp entities","description":"Provides a whitelist command and API for managing approved MCP servers, tools, prompts, and resources that should be excluded from vulnerability scanning or policy enforcement. Stores whitelisted entities in a persistent storage file with support for granular approval rules (by server, tool name, or pattern). Integrates with both static scanning and dynamic proxy modes to skip analysis for approved entities.","intents":["Exclude trusted internal MCP servers from security scanning","Whitelist specific tools or prompts that have been manually reviewed and approved","Reduce false positives by excluding known-safe entities from analysis","Implement exception management for security policies in production deployments"],"best_for":["Teams managing approved tool catalogs for agent systems","Organizations implementing exception workflows for security policies","DevOps teams reducing alert fatigue from known-safe entities"],"limitations":["Whitelist is static; requires manual updates when new tools are added or existing tools are modified","No automatic expiration or review scheduling for whitelist entries; stale approvals may persist indefinitely","Whitelist is local to the scanning instance; requires synchronization across multiple deployments","Pattern-based whitelisting can be overly broad and accidentally exclude legitimate vulnerabilities"],"requires":["Python 3.9+","Whitelist storage file (JSON/YAML)","Write access to whitelist storage location"],"input_types":["MCP server endpoint (URI)","Tool/prompt/resource names (string)","Whitelist patterns (regex or glob)","Approval metadata (approver, date, reason)"],"output_types":["Whitelist entry (JSON with entity details)","Whitelist audit log (add/remove events)","Whitelist report (current approved entities)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_7","uri":"capability://safety.moderation.binary.signature.verification.for.mcp.server.authenticity","name":"binary signature verification for mcp server authenticity","description":"Verifies the authenticity and integrity of MCP server binaries using cryptographic signatures before connecting and scanning. Validates that MCP server executables are signed by trusted publishers and have not been tampered with. Supports multiple signature formats and maintains a trusted publisher registry for signature validation.","intents":["Verify that MCP server binaries are from trusted publishers before connecting","Detect tampering or man-in-the-middle attacks on MCP server downloads","Enforce supply chain security by requiring signed MCP server binaries","Prevent execution of malicious or compromised MCP server implementations"],"best_for":["Organizations implementing strict supply chain security policies","Teams deploying MCP servers from untrusted or public sources","Enterprise environments requiring cryptographic verification of all components"],"limitations":["Requires MCP servers to be distributed with valid cryptographic signatures; unsigned servers cannot be verified","Signature verification adds latency to server connection startup (~100-500ms depending on signature algorithm)","Trusted publisher registry must be maintained and distributed to all scanning instances","Revocation checking requires network access to certificate revocation services; offline verification is limited"],"requires":["Python 3.9+","MCP server binary with valid cryptographic signature","Trusted publisher registry (public keys or certificates)","Network access to revocation services (optional for online verification)"],"input_types":["MCP server binary (executable)","Cryptographic signature (detached or embedded)","Trusted publisher registry (JSON/YAML with public keys)"],"output_types":["Signature verification result (valid/invalid/unknown)","Publisher identity (certificate subject or key ID)","Verification audit log (timestamp, result, publisher)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_8","uri":"capability://automation.workflow.scan.result.upload.to.control.servers.and.snyk.evo.integration","name":"scan result upload to control servers and snyk evo integration","description":"Uploads completed scan results to external control servers (HTTP endpoints) for centralized collection and management in enterprise deployments. Supports the evo subcommand for pushing results to Snyk Evo platform. Implements retry logic, SSL/TLS validation, and identity management for secure result transmission. Supports structured result formatting and filtering before upload.","intents":["Collect scan results from distributed agent deployments to a central control server","Push MCP security findings to Snyk Evo for centralized vulnerability management","Integrate agent security scanning into enterprise security platforms","Maintain audit trails of all scans in a centralized system"],"best_for":["Enterprise deployments with centralized security management","Organizations using Snyk for vulnerability tracking","Teams implementing security scanning in CI/CD pipelines with result aggregation"],"limitations":["Requires network access to control server; offline scanning cannot upload results","Upload latency depends on control server response time and network conditions; typical latency 1-5 seconds","Retry logic has exponential backoff; failed uploads may be delayed significantly","Control server endpoint must be accessible from all scanning instances; no local caching of results if upload fails"],"requires":["Python 3.9+","Control server endpoint (HTTP/HTTPS URL)","Control server authentication credentials (API key or certificate)","Network access to control server","Snyk Evo account and API credentials (for evo subcommand)"],"input_types":["Scan results (JSON)","Control server endpoint (URL)","Authentication credentials (API key, certificate)"],"output_types":["Upload confirmation (HTTP response)","Result ID in control server (reference for tracking)","Upload audit log (timestamp, endpoint, status)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-snyk-agent-scan__cap_9","uri":"capability://safety.moderation.policy.and.guardrail.rule.definition.and.enforcement","name":"policy and guardrail rule definition and enforcement","description":"Defines and enforces security policies and guardrails for MCP traffic using a rule-based system. Supports policy rules that restrict tool usage, enforce approval workflows, and prevent dangerous tool combinations. Policies are defined in YAML/JSON format and evaluated against MCP requests/responses in the proxy mode. Includes built-in policy templates for common security scenarios (e.g., preventing data exfiltration, blocking dangerous tools).","intents":["Define security policies that restrict which tools agents can call","Enforce approval workflows for sensitive tool operations","Prevent dangerous tool combinations that create toxic flows","Block tools that access sensitive data without proper safeguards"],"best_for":["Teams implementing fine-grained access control for agent tools","Organizations enforcing security policies in production agent deployments","Security teams managing tool usage across multiple agent systems"],"limitations":["Policy evaluation is synchronous; complex policies with many rules may add significant latency (>100ms per request)","Policy rules are static; dynamic policies based on runtime context require custom code","No built-in policy versioning or rollback; policy changes require manual management","Policy conflicts or overlapping rules require manual resolution; no automatic conflict detection"],"requires":["Python 3.9+","Policy definition file (YAML/JSON)","MCP proxy server running (for policy enforcement)"],"input_types":["Policy rules (YAML/JSON with conditions and actions)","MCP request/response payloads (JSON)","Session context (user, agent, tool history)"],"output_types":["Policy evaluation result (allow/deny/require-approval)","Policy violation log (rule matched, action taken)","Policy audit trail (all policy decisions)"],"categories":["safety-moderation","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["Python 3.9+","Network access to Invariant analysis API endpoint","Valid MCP server endpoint (stdio, SSE, or HTTP transport)","MCP server credentials if authentication is required","FastAPI 0.100+","MCP client configuration file (JSON/YAML) with server definitions","Network access between agent and proxy server (localhost or internal network)","Policy definitions (YAML or JSON format)","MCP proxy server running","External persistence layer (Redis, database) for production deployments (optional for development)"],"failure_modes":["Requires network connectivity to Invariant analysis API — no fully offline mode for static scanning","Analysis latency depends on Invariant API response time; scanning large MCP servers with 50+ tools may take 30-60 seconds","Cannot detect vulnerabilities in tool behavior at runtime — only analyzes static descriptions and configurations","Requires MCP server to be running and accessible during scan; does not support scanning from binary artifacts or archived configurations","Adds network latency per MCP call (proxy round-trip overhead); typical latency ~50-200ms depending on policy complexity","Requires modification of MCP client configuration files — incompatible with agents that hardcode server endpoints","Policy evaluation is synchronous — cannot handle high-throughput scenarios (>1000 calls/sec) without horizontal scaling","Session state is in-memory by default; requires external persistence layer (Redis, database) for multi-instance deployments","In-memory session storage does not persist across proxy restarts; requires external persistence layer for production","Session state grows with interaction history; long-running sessions may consume significant memory","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.5063949907047579,"quality":0.35,"ecosystem":0.55,"match_graph":0.25,"freshness":0.75,"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":"2026-05-24T12:16:22.065Z","last_scraped_at":"2026-05-03T14:23:38.364Z","last_commit":"2026-05-01T18:55:59Z"},"community":{"stars":2309,"forks":210,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-snyk-agent-scan","compare_url":"https://unfragile.ai/compare?artifact=mcp-snyk-agent-scan"}},"signature":"fb3xMFBDD/rOka7fHpoWgXNQbmr6sR7WaZKaU0B45nwO0QUZFmq06+Wk4EY5DK80GNJnSGvLhIQVufUalZssBg==","signedAt":"2026-06-22T13:27:31.610Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-snyk-agent-scan","artifact":"https://unfragile.ai/mcp-snyk-agent-scan","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-snyk-agent-scan","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"}}