{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-github--github-mcp-server","slug":"github--github-mcp-server","name":"github-mcp-server","type":"mcp","url":"https://github.com/github/github-mcp-server","page_url":"https://unfragile.ai/github--github-mcp-server","categories":["mcp-servers"],"tags":["github","mcp","mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-github--github-mcp-server__cap_0","uri":"capability://tool.use.integration.mcp.protocol.bridge.for.github.api.translation","name":"mcp protocol bridge for github api translation","description":"Translates Model Context Protocol (MCP) CallToolRequest messages from AI clients (VS Code, Claude Desktop, Cursor) into GitHub REST/GraphQL API calls, executing operations and returning structured CallToolResult responses. Implements stdio/JSON-RPC for local deployment and HTTP for remote GitHub-hosted service at api.githubcopilot.com/mcp/, handling bidirectional protocol conversion with full request/response marshaling.","intents":["Connect an AI agent to GitHub without writing custom API integration code","Enable natural language commands to GitHub from Claude Desktop or VS Code","Build a local MCP server that translates tool calls to GitHub operations"],"best_for":["AI agent developers building GitHub-aware assistants","Teams deploying Claude Desktop or Cursor with GitHub integration","Developers building custom MCP clients that need GitHub access"],"limitations":["Remote deployment limited to GitHub-hosted service (api.githubcopilot.com/mcp/) — no self-hosted HTTP option documented","stdio transport adds latency for high-frequency tool calls compared to direct API clients","Protocol overhead means each tool invocation requires JSON serialization/deserialization cycle"],"requires":["MCP client implementation (VS Code, Claude Desktop, Cursor, or custom)","GitHub Personal Access Token (local) or OAuth token (remote)","Go 1.21+ (for building from source) or Docker runtime (for containerized deployment)"],"input_types":["MCP CallToolRequest JSON with tool name and parameters","GitHub API request parameters (owner, repo, issue number, etc.)"],"output_types":["MCP CallToolResult JSON with structured response","GitHub API response data (repositories, issues, PRs, etc.)"],"categories":["tool-use-integration","mcp-protocol"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_1","uri":"capability://tool.use.integration.toolset.based.capability.organization.and.selective.exposure","name":"toolset-based capability organization and selective exposure","description":"Organizes 162+ GitHub tools into logical toolsets (context, repos, issues, pull_requests, users, search, code_security, actions, projects) with runtime configuration to selectively enable/disable groups. Implements AllTools() registry pattern that returns tool metadata with descriptions and parameter schemas, allowing MCP clients to discover and expose only relevant capabilities. Supports special keywords: 'all' (enable everything), 'default' (context, repos, issues, pull_requests, users), and 'dynamic' (runtime discovery).","intents":["Reduce LLM context size by exposing only relevant GitHub capabilities for a specific workflow","Discover available tools and their parameter schemas programmatically","Enable/disable tool groups based on user role or security policy (e.g., disable actions for read-only users)"],"best_for":["Teams managing multiple AI agents with different GitHub permission levels","Developers optimizing token usage by limiting tool exposure to necessary operations","Security-conscious organizations implementing least-privilege tool access"],"limitations":["Toolset granularity is fixed at design time — cannot create custom groupings at runtime","No per-tool permission control — toolsets are all-or-nothing (enable entire toolset or none)","Dynamic toolset discovery requires additional configuration and may add startup latency"],"requires":["MCP client that supports tool discovery via ListTools protocol","Configuration file or environment variables specifying enabled toolsets","GitHub API access for all enabled toolsets (token must have appropriate scopes)"],"input_types":["Toolset configuration string (comma-separated list or special keywords)","MCP ListTools request"],"output_types":["Tool metadata array with name, description, and JSON schema for parameters","Filtered list of available tools based on enabled toolsets"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_10","uri":"capability://automation.workflow.dual.deployment.modes.with.transport.abstraction","name":"dual deployment modes with transport abstraction","description":"Supports local deployment (Docker container or binary with stdio/JSON-RPC transport) and remote deployment (GitHub-hosted HTTP service at api.githubcopilot.com/mcp/). Abstracts transport layer so same tool implementations work with both stdio and HTTP. Local deployment uses Personal Access Token authentication, remote uses OAuth. Implements graceful shutdown and signal handling for local deployments.","intents":["Deploy MCP server locally in Docker for private GitHub instances or air-gapped environments","Use GitHub-hosted remote service for zero-setup integration with Claude Desktop","Switch between local and remote deployment without code changes"],"best_for":["Teams with on-premises GitHub Enterprise requiring local MCP deployment","Developers wanting quick integration without infrastructure setup","Organizations with strict data residency requirements (local deployment)"],"limitations":["Remote deployment limited to GitHub-hosted service — no self-hosted HTTP option","Local stdio transport adds latency compared to direct API calls (~50-100ms per tool call)","Docker deployment requires container orchestration knowledge","OAuth flow for remote deployment requires browser interaction for token exchange"],"requires":["For local: Docker runtime or Go 1.21+ to build binary","For local: GitHub Personal Access Token","For remote: GitHub account with OAuth app configured","Network access to api.github.com (both modes)"],"input_types":["Deployment mode configuration (local or remote)","Authentication credentials (PAT for local, OAuth for remote)","Server configuration (port, host, toolsets)"],"output_types":["Server startup confirmation with endpoint information","MCP protocol messages (stdio) or HTTP responses","Health check status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_11","uri":"capability://tool.use.integration.dynamic.toolset.discovery.and.runtime.capability.exposure","name":"dynamic toolset discovery and runtime capability exposure","description":"Implements 'dynamic' keyword that enables runtime toolset discovery, allowing MCP clients to query available tools based on server configuration and token permissions. Discovers toolsets at server startup and exposes metadata (name, description, tools) through MCP ListTools protocol. Supports conditional toolset availability based on token scopes and organization membership. Reduces context size by only exposing relevant capabilities.","intents":["Discover available tools at runtime without hardcoding tool lists in client","Adapt tool exposure based on user permissions and organization context","Reduce LLM context by only exposing tools relevant to current user"],"best_for":["Multi-tenant MCP deployments with varying user permissions","AI agents that need to discover capabilities dynamically","Teams implementing role-based tool exposure"],"limitations":["Dynamic discovery adds startup latency (multiple API calls to determine available toolsets)","Toolset availability changes require server restart to take effect","Cannot discover tools conditionally based on repository context (only user/org level)","Caching of discovered toolsets may become stale if permissions change"],"requires":["MCP client supporting ListTools protocol","GitHub Personal Access Token with appropriate scopes","Configuration with 'dynamic' keyword in enabled toolsets"],"input_types":["MCP ListTools request","GitHub token for permission inference"],"output_types":["Tool metadata array with name, description, and parameter schemas","Filtered list based on user permissions and enabled toolsets"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_12","uri":"capability://data.processing.analysis.github.graphql.api.integration.with.complex.query.optimization","name":"github graphql api integration with complex query optimization","description":"Integrates GitHub GraphQL API (v4) for queries requiring multiple data relationships (e.g., repository with issues, PRs, and collaborators in single query). Implements query optimization to reduce round-trips and API costs. Handles GraphQL-specific features: aliases for parallel queries, fragments for reusable query components, and pagination with cursors. Falls back to REST API for simple operations to minimize complexity.","intents":["Execute complex queries combining multiple GitHub resources in single API call","Optimize API usage by batching related queries through GraphQL","Retrieve deeply nested data structures (repo → issues → comments → reactions)"],"best_for":["AI agents performing complex repository analysis requiring multiple data sources","Teams optimizing GitHub API quota usage through query batching","Developers building sophisticated GitHub automation workflows"],"limitations":["GraphQL query complexity limits prevent arbitrarily deep nesting — may require multiple queries for very complex structures","Cursor-based pagination requires maintaining state between requests","GraphQL errors are less granular than REST API errors — harder to debug specific field failures","Some GitHub features (e.g., repository templates) only available in REST API"],"requires":["GitHub Personal Access Token with 'repo' scope","Understanding of GraphQL query syntax and GitHub's GraphQL schema","Network access to api.github.com/graphql endpoint"],"input_types":["GraphQL query string with variables","Repository/organization context","Pagination cursors for multi-page results"],"output_types":["GraphQL response JSON with requested fields","Pagination information (hasNextPage, endCursor)","Error details if query fails"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_13","uri":"capability://automation.workflow.configuration.management.with.environment.variables.and.config.files","name":"configuration management with environment variables and config files","description":"Supports configuration through environment variables and YAML/JSON config files specifying enabled toolsets, security mode, authentication method, and server settings. Implements configuration precedence (CLI flags > env vars > config file > defaults). Validates configuration at startup and provides clear error messages for invalid settings. Supports hot-reload for some settings without server restart.","intents":["Configure MCP server for different deployment environments (dev, staging, prod)","Manage toolset exposure and security settings through configuration","Deploy server with different GitHub instances (cloud vs Enterprise)"],"best_for":["DevOps teams managing MCP server deployments across environments","Developers configuring local development vs production servers","Teams implementing infrastructure-as-code for MCP deployment"],"limitations":["Configuration validation only at startup — invalid settings not caught until server starts","Hot-reload not supported for all settings (authentication changes require restart)","Config file format limited to YAML/JSON — no templating support","Environment variable names may conflict with other tools in same container"],"requires":["Configuration file in YAML or JSON format (optional, defaults used if absent)","Environment variables for sensitive data (tokens, API keys)","Understanding of configuration schema and valid values"],"input_types":["Config file path (via CLI flag or env var)","Environment variables (GITHUB_TOKEN, MCP_TOOLSETS, etc.)","CLI flags for server settings (port, host, log level)"],"output_types":["Parsed configuration object","Validation result (success or error with details)","Server startup log with applied configuration"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_2","uri":"capability://tool.use.integration.repository.operations.via.rest.and.graphql.apis","name":"repository operations via rest and graphql apis","description":"Executes repository-level operations (list repos, get repo details, search repositories, manage branches, create/update files) by routing requests through GitHub REST API v3 and GraphQL API v4. Implements dual-API strategy where REST handles simple CRUD operations and GraphQL handles complex queries requiring multiple data relationships. Manages authentication context per request and handles pagination for large result sets.","intents":["List and search repositories across organizations with filtering","Retrieve repository metadata (stars, forks, language, topics, permissions)","Create branches, manage repository settings, and update file contents programmatically"],"best_for":["AI agents managing multi-repository workflows","Developers building repository discovery and analysis tools","Teams automating repository setup and configuration"],"limitations":["File operations limited to REST API — cannot batch multiple file updates in single GraphQL query","Pagination requires manual iteration for repositories beyond default limit (typically 30-100 per page)","Branch protection rules and advanced settings require specific token scopes not always available"],"requires":["GitHub Personal Access Token with 'repo' scope (for private repos) or 'public_repo' (public only)","Repository owner/name or organization context in request parameters","Network access to api.github.com (REST) and api.github.com/graphql (GraphQL)"],"input_types":["Repository identifiers (owner, repo name)","Filter parameters (language, stars, topics, sort order)","File content and metadata for create/update operations"],"output_types":["Repository metadata (name, description, URL, stars, language, topics)","Branch information (name, commit SHA, protection status)","File content and metadata (path, size, last commit)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_3","uri":"capability://tool.use.integration.issue.and.pull.request.lifecycle.management","name":"issue and pull request lifecycle management","description":"Manages GitHub issues and pull requests through create, read, update, and search operations. Implements issue/PR state transitions (open, closed, draft, ready for review), label management, assignee handling, and comment threading. Uses REST API for standard CRUD and GraphQL for complex queries involving multiple PRs/issues with relationships. Handles pagination and filtering by state, labels, assignees, and date ranges.","intents":["Create and update issues/PRs with labels, assignees, and descriptions","Search issues and PRs by state, labels, and date ranges for triage workflows","Manage issue/PR lifecycle: transition states, add comments, assign reviewers"],"best_for":["AI agents automating issue triage and PR review workflows","Teams building custom project management dashboards on GitHub","Developers implementing automated issue creation from logs or monitoring alerts"],"limitations":["Comment threading limited to top-level comments and replies — no nested comment hierarchy support","Review state transitions require specific token scopes (pull-request-review) not always granted","Bulk operations (update 100+ issues) require manual pagination and sequential API calls","Draft PR creation and state management has limited GraphQL support"],"requires":["GitHub Personal Access Token with 'repo' scope (for private repos)","Repository owner and name context","For PR reviews: token must have 'pull-request-review' scope"],"input_types":["Issue/PR identifiers (number, title, body)","State transitions (open, closed, draft, ready_for_review)","Labels, assignees, reviewers as arrays","Filter parameters (state, labels, assignee, created/updated date ranges)"],"output_types":["Issue/PR metadata (number, state, title, body, labels, assignees)","Comment data (author, timestamp, body, reactions)","Review data (reviewer, state, comments)","Paginated result sets with total count"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_4","uri":"capability://search.retrieval.code.search.and.semantic.repository.analysis","name":"code search and semantic repository analysis","description":"Searches repository code using GitHub's code search API with support for language-specific queries, file patterns, and symbol matching. Implements search parameter validation and result ranking by relevance. Integrates with code security toolset to identify vulnerabilities, secrets, and dependency issues. Returns code snippets with file paths, line numbers, and context for analysis by AI agents.","intents":["Find code patterns across repositories (e.g., all uses of deprecated API)","Locate files matching specific criteria (language, naming pattern, content)","Identify security issues, exposed secrets, and vulnerable dependencies"],"best_for":["AI agents performing codebase analysis and refactoring","Security teams scanning for vulnerabilities and exposed credentials","Developers building code quality and compliance tools"],"limitations":["Code search limited to 100 results per query — requires pagination for larger result sets","Search syntax requires GitHub-specific query language (qualifiers like 'language:', 'filename:', 'path:')","Real-time search may lag behind recent commits by several minutes","Symbol search (functions, classes) limited compared to IDE-based analysis"],"requires":["GitHub Personal Access Token with 'repo' scope","Repository owner/name context or organization scope","Understanding of GitHub code search query syntax"],"input_types":["Search query string with optional qualifiers (language, filename, path, extension)","Repository or organization context","Pagination parameters (page, per_page)"],"output_types":["Code search results with file path, line number, and code snippet","Relevance ranking and match count","Security vulnerability data (CVE, severity, remediation)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_5","uri":"capability://automation.workflow.github.actions.workflow.execution.and.monitoring","name":"github actions workflow execution and monitoring","description":"Manages GitHub Actions workflows through tool calls that trigger workflow runs, retrieve run status and logs, and manage workflow artifacts. Implements workflow dispatch with input parameters, run querying by status (queued, in_progress, completed), and log streaming. Handles workflow file discovery and validation. Supports both push-triggered and manual dispatch workflows.","intents":["Trigger CI/CD workflows programmatically with custom input parameters","Monitor workflow run status and retrieve logs for debugging","Discover available workflows and their input requirements"],"best_for":["AI agents automating CI/CD pipeline management","Teams building custom workflow dashboards and monitoring","Developers implementing automated testing and deployment triggers"],"limitations":["Workflow dispatch limited to workflows with 'workflow_dispatch' trigger — cannot trigger push-only workflows","Log retrieval limited to completed runs — real-time log streaming not supported","Artifact management limited to download/list — cannot create or modify artifacts","Workflow file editing requires separate file update operations (not integrated)"],"requires":["GitHub Personal Access Token with 'actions' and 'repo' scopes","Repository owner and name context","Workflow file must exist in .github/workflows/ directory with 'workflow_dispatch' trigger"],"input_types":["Workflow file name or ID","Input parameters as key-value pairs (type-specific: string, choice, boolean)","Run ID or status filter for querying"],"output_types":["Workflow run metadata (ID, status, conclusion, created_at, updated_at)","Run logs as text (may be large for long-running workflows)","Artifact metadata (name, size, download URL)","Workflow file metadata (name, path, triggers)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_6","uri":"capability://automation.workflow.github.projects.and.issue.tracking.board.management","name":"github projects and issue tracking board management","description":"Manages GitHub Projects (v2 API) including board creation, column/field management, and card operations. Implements issue-to-project linking, status transitions through custom fields, and bulk card updates. Uses GraphQL API for complex project queries involving multiple issues and relationships. Supports both classic Projects (v1) and new Projects (v2) with different field types (single_select, number, date, text).","intents":["Create and configure project boards for tracking work across repositories","Move issues between project columns/statuses programmatically","Query project state and generate reports on issue status distribution"],"best_for":["Teams automating project board management and status updates","AI agents coordinating multi-repository work tracking","Developers building custom project dashboards and reporting"],"limitations":["Projects v1 (classic) has limited field types compared to v2 — migration required for advanced workflows","Custom field types (single_select, number, date) require pre-configuration in project settings","Bulk card updates require sequential API calls — no batch operation support","Project visibility limited to authenticated user's accessible repositories"],"requires":["GitHub Personal Access Token with 'repo' scope","Organization or repository context (projects can be org-level or repo-level)","Project ID or name for operations"],"input_types":["Project name, description, and visibility (public/private)","Field definitions (name, type, options for single_select)","Issue IDs for linking to project","Field values for status transitions (e.g., 'In Progress', 'Done')"],"output_types":["Project metadata (ID, name, description, URL)","Field definitions with types and options","Card data with issue information and field values","Project state summary (total cards, cards by status)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_7","uri":"capability://tool.use.integration.user.and.team.context.discovery.with.permission.inference","name":"user and team context discovery with permission inference","description":"Discovers authenticated user identity, team memberships, and organization roles through GitHub API. Implements permission inference by querying repository access levels and team permissions. Returns user profile data (login, name, email, avatar), team memberships with roles, and organization affiliations. Caches context to reduce API calls for repeated permission checks.","intents":["Determine current user identity and permissions for access control decisions","Discover team memberships and organization roles for delegation","Validate user has required permissions before executing sensitive operations"],"best_for":["MCP servers implementing role-based access control (RBAC)","AI agents making authorization decisions before executing GitHub operations","Teams building multi-user GitHub automation with permission validation"],"limitations":["Permission inference requires multiple API calls (user, teams, repos) — cannot be done in single query","Team permissions may be cached and not reflect real-time changes","Organization-level permissions require separate API calls per organization","Email visibility depends on user's GitHub privacy settings"],"requires":["GitHub Personal Access Token (any scope will return user context)","Network access to api.github.com for user and team endpoints"],"input_types":["GitHub Personal Access Token (implicit from authentication context)","Optional: repository or organization context for permission queries"],"output_types":["User profile (login, name, email, avatar_url, bio, company)","Team memberships array with role (member, maintainer)","Organization affiliations with role (member, admin)","Repository permission level (admin, maintain, write, triage, read)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_8","uri":"capability://safety.moderation.parameter.validation.and.error.handling.with.schema.enforcement","name":"parameter validation and error handling with schema enforcement","description":"Validates all tool parameters against JSON schemas before executing GitHub API calls. Implements type checking (string, number, boolean, array), required field validation, and enum constraint enforcement for parameters like state (open/closed) and role (admin/member). Returns detailed error messages with parameter hints when validation fails. Prevents malformed API requests and provides early feedback to MCP clients.","intents":["Catch parameter errors before making expensive GitHub API calls","Provide clear error messages to MCP clients about invalid parameters","Enforce consistent parameter types across all tools"],"best_for":["MCP server developers building robust tool implementations","Teams implementing strict input validation for security","Developers debugging tool parameter issues"],"limitations":["Schema validation adds latency (~5-10ms per tool call) for parameter checking","Custom validation logic (e.g., 'repository must exist') requires separate API calls","Error messages may be verbose for complex nested parameters","Schema enforcement cannot validate cross-parameter dependencies (e.g., 'if state=draft, then draft_pr_id required')"],"requires":["Tool parameter schemas defined in JSON Schema format","MCP client sending properly structured CallToolRequest messages"],"input_types":["Tool parameters as JSON object matching schema definition","Parameter types: string, number, boolean, array, object"],"output_types":["Validation success (parameters accepted)","Validation error with field name, expected type, and constraint violation details"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-github--github-mcp-server__cap_9","uri":"capability://safety.moderation.read.only.and.lockdown.security.modes.with.token.scope.enforcement","name":"read-only and lockdown security modes with token scope enforcement","description":"Implements security modes that restrict tool capabilities based on configuration: read-only mode disables all write operations (create, update, delete), and lockdown mode further restricts to specific safe operations. Validates GitHub token scopes at server startup and prevents operations requiring unavailable scopes. Logs all tool executions for audit trails. Supports per-toolset permission control through configuration.","intents":["Run MCP server with restricted permissions for untrusted AI agents","Enforce least-privilege access by disabling unnecessary tool groups","Audit all GitHub operations performed through MCP server"],"best_for":["Security-conscious organizations deploying AI agents with GitHub access","Teams implementing compliance requirements (audit logging, least privilege)","Developers testing AI agents without granting full repository access"],"limitations":["Read-only mode is all-or-nothing — cannot selectively enable specific write operations","Lockdown mode requires pre-configuration and may be too restrictive for some workflows","Audit logging adds storage overhead for high-frequency tool usage","Token scope validation only checks at startup — scope changes require server restart"],"requires":["GitHub Personal Access Token with appropriate scopes for intended operations","Configuration file or environment variables specifying security mode","Storage for audit logs (filesystem or external service)"],"input_types":["Security mode configuration (read-only, lockdown, or unrestricted)","Enabled toolsets list","GitHub token with specific scopes"],"output_types":["Validation result (token scopes sufficient for enabled toolsets)","Audit log entries with timestamp, tool name, parameters, and result","Error response if operation violates security mode"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":50,"verified":false,"data_access_risk":"high","permissions":["MCP client implementation (VS Code, Claude Desktop, Cursor, or custom)","GitHub Personal Access Token (local) or OAuth token (remote)","Go 1.21+ (for building from source) or Docker runtime (for containerized deployment)","MCP client that supports tool discovery via ListTools protocol","Configuration file or environment variables specifying enabled toolsets","GitHub API access for all enabled toolsets (token must have appropriate scopes)","For local: Docker runtime or Go 1.21+ to build binary","For local: GitHub Personal Access Token","For remote: GitHub account with OAuth app configured","Network access to api.github.com (both modes)"],"failure_modes":["Remote deployment limited to GitHub-hosted service (api.githubcopilot.com/mcp/) — no self-hosted HTTP option documented","stdio transport adds latency for high-frequency tool calls compared to direct API clients","Protocol overhead means each tool invocation requires JSON serialization/deserialization cycle","Toolset granularity is fixed at design time — cannot create custom groupings at runtime","No per-tool permission control — toolsets are all-or-nothing (enable entire toolset or none)","Dynamic toolset discovery requires additional configuration and may add startup latency","Remote deployment limited to GitHub-hosted service — no self-hosted HTTP option","Local stdio transport adds latency compared to direct API calls (~50-100ms per tool call)","Docker deployment requires container orchestration knowledge","OAuth flow for remote deployment requires browser interaction for token exchange","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7832660739751495,"quality":0.35,"ecosystem":0.48999999999999994,"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":"2026-05-24T12:16:21.550Z","last_scraped_at":"2026-05-03T13:56:56.344Z","last_commit":"2026-05-01T17:18:19Z"},"community":{"stars":29468,"forks":4111,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=github--github-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=github--github-mcp-server"}},"signature":"A+rumPznUiUWSxXZpvScuedb+gPcAkwa6rm3Lqa8CBHbWbHgMdjv6SY1PONiPLdlsKQzj5wLfOjJzR/OiR2CDQ==","signedAt":"2026-06-20T22:17:44.316Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/github--github-mcp-server","artifact":"https://unfragile.ai/github--github-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=github--github-mcp-server","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"}}