{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-mcp-hunt","slug":"mcp-hunt","name":"MCP Hunt","type":"mcp","url":"https://mcp-hunt.com","page_url":"https://unfragile.ai/mcp-hunt","categories":["mcp-servers"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-mcp-hunt__cap_0","uri":"capability://safety.moderation.github.mcp.repository.security.analysis.with.automated.risk.scoring","name":"github mcp repository security analysis with automated risk scoring","description":"Analyzes MCP server repositories from GitHub URLs or local file uploads to extract security metrics and risk assessments. The system performs automated security scoring across repository content, likely scanning for common vulnerabilities, dependency issues, and code quality indicators. Results are delivered as numeric security scores and risk classifications within claimed sub-10-second latency, enabling rapid security vetting of MCP implementations before integration.","intents":["I need to quickly assess whether a third-party MCP server is safe to integrate into my agent infrastructure","I want to understand the security posture of an MCP before adding it to my production environment","I need to compare security profiles across multiple MCP implementations to choose the safest option"],"best_for":["AI engineers building agent systems with untrusted MCP integrations","DevOps teams evaluating open-source MCP servers for production deployment","Security-conscious developers vetting community MCP implementations"],"limitations":["Security scoring methodology and risk assessment scale are undocumented — unclear what constitutes 'high' vs 'low' risk","No indication of false positive/negative rates or validation against known vulnerabilities","Batch analysis limited to 4 repositories per session (unclear if hard limit or UI constraint)","No real-time threat intelligence integration documented — analysis based on static repository snapshot only","Cannot analyze private repositories without GitHub authentication (authentication model undocumented)"],"requires":["Public GitHub repository URL OR local ZIP/folder upload capability","Network access to GitHub API (if analyzing from URL)","Unknown: GitHub API authentication token (if required for private repos)"],"input_types":["GitHub repository URL (string)","Local file upload (ZIP archive or folder structure)"],"output_types":["Numeric security score (scale/range unknown)","Risk classification (format unknown)","Structured security assessment (schema unknown)"],"categories":["safety-moderation","code-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-hunt__cap_1","uri":"capability://data.processing.analysis.github.metrics.extraction.for.mcp.repositories","name":"github metrics extraction for mcp repositories","description":"Extracts quantitative GitHub statistics from MCP repositories including star count, fork count, and activity scores. The system queries GitHub repository metadata to surface adoption and maintenance signals, enabling comparative analysis of MCP popularity and community engagement. Metrics are returned as structured numeric values, supporting ranking and filtering of MCPs by community traction.","intents":["I want to find the most popular and actively maintained MCP servers in the ecosystem","I need to compare adoption metrics across multiple MCP implementations to choose the most battle-tested option","I'm building an MCP discovery tool and need to rank servers by community momentum"],"best_for":["MCP discovery platform builders seeking to rank servers by adoption","Developers evaluating MCP maturity based on community signals","Researchers analyzing MCP ecosystem growth and adoption patterns"],"limitations":["Metrics are point-in-time snapshots — no historical trending or momentum calculation documented","Activity score calculation methodology is undocumented (unclear if based on commit frequency, issue velocity, release cadence, or other signals)","No weighting or normalization of metrics — cannot distinguish between 'old project with many stars' vs 'actively developed project with fewer stars'","Limited to public GitHub repositories — cannot analyze MCPs hosted on GitLab, Gitea, or private Git servers","GitHub API rate limits apply (60 req/hour unauthenticated, 5000/hour authenticated)"],"requires":["Public GitHub repository URL","Network access to GitHub API","Unknown: GitHub API authentication token (for higher rate limits)"],"input_types":["GitHub repository URL (string)"],"output_types":["Stars count (integer)","Forks count (integer)","Activity score (numeric, scale unknown)","Additional metrics (list unknown)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-hunt__cap_2","uri":"capability://data.processing.analysis.batch.mcp.repository.analysis.with.multi.source.input","name":"batch mcp repository analysis with multi-source input","description":"Processes up to 4 MCP repositories in a single analysis session, accepting both GitHub URLs and local file uploads (ZIP archives or folder structures) as input sources. The system normalizes heterogeneous input formats into a unified analysis pipeline, enabling comparative security and metrics assessment across repositories from different sources without requiring separate analysis runs. Results are aggregated and returned within claimed sub-10-second latency.","intents":["I want to evaluate 3-4 candidate MCPs simultaneously to compare their security and adoption metrics","I need to analyze both public MCPs from GitHub and internal/proprietary MCP implementations in a single workflow","I'm building an MCP evaluation checklist and want to assess multiple implementations in parallel"],"best_for":["Teams evaluating multiple MCP options for a single integration decision","Enterprises comparing open-source and internal MCP implementations side-by-side","MCP platform builders needing to batch-analyze repository submissions"],"limitations":["Hard limit of 4 repositories per session — unclear if this is a technical constraint or rate-limiting policy","No documented quota reset period or session management — unclear if limit resets per hour, per day, or per user","Mixed input sources (GitHub URLs + local uploads) may have different analysis latency profiles — no SLA differentiation documented","No batch result export or comparison report generation documented — results must be manually compared","Unclear if analysis runs sequentially or in parallel — potential performance implications for large batches"],"requires":["Access to GitHub URLs (for remote analysis) OR local file system access (for uploads)","Network access to GitHub API (for URL-based analysis)","Unknown: File upload size limits","Unknown: Supported ZIP archive formats and folder structure requirements"],"input_types":["GitHub repository URL (string)","ZIP archive (binary)","Folder structure (local filesystem)"],"output_types":["Aggregated security scores (numeric, per repository)","Aggregated metrics (stars, forks, activity, per repository)","Comparative analysis results (format unknown)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-hunt__cap_3","uri":"capability://search.retrieval.pre.indexed.mcp.directory.browsing.with.category.filtering","name":"pre-indexed mcp directory browsing with category filtering","description":"Provides read-only access to a pre-analyzed directory of thousands of MCP repositories, organized by category (e.g., 'Productivity MCPs'). The system maintains an indexed database of analyzed MCPs, enabling rapid browsing and filtering without triggering on-demand analysis. Users can explore the directory via category-based navigation, discovering MCPs by functional domain rather than searching by name or URL.","intents":["I want to discover what MCP servers exist in the productivity category without manually searching GitHub","I need to browse the MCP ecosystem to understand what capabilities are available","I'm looking for MCPs that solve a specific problem and want to see what the community has built"],"best_for":["Developers new to the MCP ecosystem seeking guided discovery","Builders looking for existing MCP implementations to avoid reinventing functionality","Researchers analyzing the MCP ecosystem landscape and category distribution"],"limitations":["Directory scope is undocumented — 'thousands of pre-analyzed MCPs' is vague; exact count unknown","Category taxonomy is incomplete — only 'Productivity MCPs' mentioned; other categories unknown","Pre-analysis scope unclear — unknown which GitHub MCPs are indexed vs. analyzed on-demand","No search functionality documented — only category-based browsing; cannot search by keyword, author, or functionality","No sorting or ranking within categories documented — unclear if MCPs are ranked by stars, activity, or insertion order","No real-time updates documented — unclear how frequently the directory is refreshed with new MCPs"],"requires":["Web browser access to MCP Hunt platform","Unknown: Authentication requirements (unclear if browsing requires login)"],"input_types":["Category selection (string)"],"output_types":["MCP project listings (structured data with metadata)","Individual MCP project pages (HTML or structured data)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-hunt__cap_4","uri":"capability://data.processing.analysis.real.time.mcp.repository.analysis.with.sub.10.second.latency","name":"real-time mcp repository analysis with sub-10-second latency","description":"Performs on-demand analysis of MCP repositories with claimed sub-10-second turnaround time, supporting both GitHub URLs and local file uploads. The system likely uses optimized analysis pipelines (possibly parallel processing of security scanning and metrics extraction) to achieve rapid results. Analysis is non-blocking and returns results asynchronously, enabling interactive exploration of MCP repositories without long wait times.","intents":["I found an interesting MCP on GitHub and want to quickly assess its security and adoption before integrating it","I'm evaluating a custom MCP implementation and need immediate feedback on its security posture","I want to explore multiple MCPs interactively without waiting for long analysis jobs"],"best_for":["Interactive MCP evaluation workflows where latency is critical","Developers exploring the MCP ecosystem and making rapid integration decisions","Teams with tight iteration cycles needing instant MCP vetting feedback"],"limitations":["Sub-10-second latency is claimed but not guaranteed — no SLA or performance percentile documented","Latency may vary significantly based on repository size, GitHub API availability, and system load — no performance breakdown provided","No caching mechanism documented — unclear if repeated analysis of the same repository is cached or re-analyzed","GitHub API rate limits may impact latency for high-volume analysis sessions","Local file upload analysis may be slower than GitHub URL analysis due to file transfer overhead — no latency differentiation documented"],"requires":["Network access to GitHub API (for URL-based analysis)","Unknown: File upload size limits and timeout thresholds","Unknown: Concurrent analysis limits (unclear if multiple analyses can run in parallel)"],"input_types":["GitHub repository URL (string)","ZIP archive (binary)","Folder structure (local filesystem)"],"output_types":["Security score (numeric)","Risk assessment (format unknown)","GitHub metrics (stars, forks, activity)","Analysis results (format unknown)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-hunt__cap_5","uri":"capability://safety.moderation.mcp.specific.security.vulnerability.pattern.detection","name":"mcp-specific security vulnerability pattern detection","description":"Identifies security risks specific to MCP implementations, likely scanning for unsafe tool definitions, unvalidated function schemas, improper context isolation, and other MCP-specific threat patterns. The system applies domain-specific security rules tailored to MCP architecture (tool invocation safety, schema validation, resource access controls) rather than generic code vulnerability scanning. Security findings are aggregated into a numeric score and risk classification.","intents":["I need to ensure an MCP doesn't expose unsafe tool invocations that could compromise my agent","I want to verify that an MCP properly validates function schemas before executing tools","I need to check if an MCP correctly isolates context and prevents information leakage between tool invocations"],"best_for":["Security engineers building agent systems with untrusted MCP integrations","MCP developers seeking to validate their implementations against security best practices","Teams with strict security requirements for third-party MCP adoption"],"limitations":["MCP-specific security rules and threat model are undocumented — unclear what patterns are detected","No false positive/negative rates or validation against known MCP vulnerabilities documented","Security scoring methodology is opaque — unclear how individual findings are weighted and aggregated","No remediation guidance provided — security findings lack actionable recommendations for fixing issues","Cannot detect runtime security issues — analysis is static and cannot identify vulnerabilities that manifest during tool execution","No integration with vulnerability databases (CVE, NVD) documented — cannot cross-reference against known exploits"],"requires":["MCP repository source code (GitHub URL or local upload)","Unknown: Supported MCP implementation languages (Python, TypeScript, Rust, etc.)"],"input_types":["MCP repository source code (via GitHub URL or local upload)"],"output_types":["Security score (numeric, scale unknown)","Risk classification (format unknown)","Vulnerability findings (format unknown)"],"categories":["safety-moderation","code-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcp-hunt__cap_6","uri":"capability://data.processing.analysis.local.mcp.repository.upload.and.analysis.without.github.dependency","name":"local mcp repository upload and analysis without github dependency","description":"Enables analysis of MCP repositories from local file uploads (ZIP archives or folder structures) without requiring GitHub URLs or public repository access. The system accepts local file inputs, normalizes them into a standard MCP representation, and applies the same security and metrics analysis pipeline as GitHub-based analysis. This capability supports analysis of proprietary, pre-release, or private MCP implementations that are not publicly available on GitHub.","intents":["I need to analyze a proprietary MCP implementation that's not on GitHub","I want to assess a pre-release MCP before it's publicly available","I'm evaluating an internal MCP that we built and need security feedback without publishing it"],"best_for":["Enterprises with proprietary MCP implementations requiring security assessment","Teams developing MCPs in private repositories or closed-source environments","Developers testing MCP implementations before public release"],"limitations":["File upload size limits are undocumented — unclear if large MCP repositories can be uploaded","Supported file formats are undocumented — unclear if only ZIP is supported or if other archive formats (tar.gz, 7z) are accepted","Folder structure requirements are undocumented — unclear if MCP must follow a specific directory layout","No GitHub metrics available for local uploads — activity scores, stars, and forks cannot be extracted from local files","Analysis results are not persisted in the pre-indexed directory — local uploads are analyzed on-demand only","No version control history available — analysis cannot assess commit frequency, release cadence, or maintenance patterns"],"requires":["Local file system access to MCP repository","ZIP archive or folder structure containing MCP implementation","Unknown: Maximum file upload size","Unknown: Supported MCP directory structures"],"input_types":["ZIP archive (binary)","Folder structure (local filesystem)"],"output_types":["Security score (numeric)","Risk assessment (format unknown)","Metrics (limited to non-GitHub signals)","Analysis results (format unknown)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Public GitHub repository URL OR local ZIP/folder upload capability","Network access to GitHub API (if analyzing from URL)","Unknown: GitHub API authentication token (if required for private repos)","Public GitHub repository URL","Network access to GitHub API","Unknown: GitHub API authentication token (for higher rate limits)","Access to GitHub URLs (for remote analysis) OR local file system access (for uploads)","Network access to GitHub API (for URL-based analysis)","Unknown: File upload size limits","Unknown: Supported ZIP archive formats and folder structure requirements"],"failure_modes":["Security scoring methodology and risk assessment scale are undocumented — unclear what constitutes 'high' vs 'low' risk","No indication of false positive/negative rates or validation against known vulnerabilities","Batch analysis limited to 4 repositories per session (unclear if hard limit or UI constraint)","No real-time threat intelligence integration documented — analysis based on static repository snapshot only","Cannot analyze private repositories without GitHub authentication (authentication model undocumented)","Metrics are point-in-time snapshots — no historical trending or momentum calculation documented","Activity score calculation methodology is undocumented (unclear if based on commit frequency, issue velocity, release cadence, or other signals)","No weighting or normalization of metrics — cannot distinguish between 'old project with many stars' vs 'actively developed project with fewer stars'","Limited to public GitHub repositories — cannot analyze MCPs hosted on GitLab, Gitea, or private Git servers","GitHub API rate limits apply (60 req/hour unauthenticated, 5000/hour authenticated)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.39,"ecosystem":0.25,"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":"2026-06-17T09:51:03.578Z","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=mcp-hunt","compare_url":"https://unfragile.ai/compare?artifact=mcp-hunt"}},"signature":"PN3rkXjo2ps4kmEswFvaEl6f3f2LPIJukJ2gAxoNwaYiqHIBw4OdRbsUpoJyugpmK7imm3+J3RZpSwjEoIyVCw==","signedAt":"2026-06-20T02:23:03.186Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-hunt","artifact":"https://unfragile.ai/mcp-hunt","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-hunt","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"}}