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Supports both internal (in-process) and external (remote) token validation modes, allowing flexible deployment architectures from development to production horizontal scaling.","intents":["Secure MCP client authentication without embedding credentials in client code","Implement OAuth flows for third-party MCP client integrations","Validate and introspect tokens across distributed MCP server instances","Support PKCE-protected authorization for public clients without shared secrets"],"best_for":["Teams building production MCP servers requiring multi-instance deployments","Developers integrating MCP with OAuth-protected APIs","Organizations needing separate auth server architecture for security isolation"],"limitations":["Requires external Redis instance for session management in external mode (not included)","Token validation adds network round-trip latency in external mode (~50-200ms per request)","PKCE implementation requires client-side support for code_challenge generation"],"requires":["Node.js 18+","Redis instance (for external mode deployments)","OAuth 2.0 client registration (client_id, client_secret for confidential clients)"],"input_types":["authorization request parameters (client_id, redirect_uri, code_challenge)","token exchange payloads (authorization_code, code_verifier)","token introspection requests (access_token)"],"output_types":["authorization code (temporary, single-use)","access_token (JWT or opaque token)","token metadata (expires_in, token_type, scope)"],"categories":["safety-moderation","authentication"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_1","uri":"capability://tool.use.integration.stateful.mcp.protocol.server.with.multi.transport.support","name":"stateful mcp protocol server with multi-transport support","description":"Implements a complete Model Context Protocol server (MCPModule at src/modules/mcp/index.ts) exposing 100+ resources and 9 tools across multiple transport layers: Streamable HTTP (/mcp endpoint) and legacy Server-Sent Events (/sse endpoint). 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Transport abstraction allows clients to choose between modern streaming HTTP and legacy SSE based on network constraints or client capabilities.","intents":["Expose tools and resources to LLM clients via standardized MCP protocol","Support multiple transport mechanisms for diverse client environments (browsers, CLI, embedded)","Maintain per-session state for stateful tool interactions and resource access","Demonstrate production-grade MCP implementation patterns for reference"],"best_for":["Developers building MCP-compatible LLM applications and agents","Teams evaluating MCP as a standard for tool/resource exposure","Reference implementation users learning MCP protocol patterns"],"limitations":["Session state stored in-memory by default; requires Redis integration for multi-instance deployments","Streamable HTTP transport requires HTTP/1.1 chunked transfer encoding support (not all proxies/firewalls compatible)","Legacy SSE transport has higher latency and connection overhead vs Streamable HTTP"],"requires":["Node.js 18+","MCP-compatible client library (e.g., @modelcontextprotocol/sdk)","Valid OAuth 2.0 access token from AuthModule"],"input_types":["MCP protocol messages (tool calls, resource requests, prompt queries)","authenticated HTTP requests with Bearer token","streaming request bodies for tool invocations"],"output_types":["MCP protocol responses (tool results, resource content, prompt templates)","streaming HTTP response chunks (Streamable HTTP mode)","Server-Sent Events (SSE mode)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_10","uri":"capability://automation.workflow.legacy.server.sent.events.sse.transport.for.backward.compatibility","name":"legacy server-sent events (sse) transport for backward compatibility","description":"Maintains legacy Server-Sent Events (SSE) transport at /sse endpoint for backward compatibility with older MCP clients and constrained environments. 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While less efficient than Streamable HTTP, SSE provides broader compatibility with legacy proxies, firewalls, and client libraries that may not support modern streaming transports.","intents":["Support legacy MCP clients that only implement SSE transport","Deploy MCP servers behind proxies/firewalls that block modern streaming transports","Maintain backward compatibility during migration from SSE to Streamable HTTP","Support constrained environments with minimal HTTP/1.1 support"],"best_for":["Legacy MCP client integrations requiring SSE support","Deployments behind restrictive proxies/firewalls blocking chunked encoding","Gradual migration scenarios from SSE to modern transports"],"limitations":["SSE has higher latency than Streamable HTTP due to long-polling overhead","Unidirectional (server-to-client only); client-to-server requires separate HTTP requests","Connection overhead increases with number of concurrent clients","Event parsing adds CPU overhead compared to binary streaming protocols"],"requires":["Node.js 18+","SSE-compatible MCP client library","Valid OAuth 2.0 access token"],"input_types":["HTTP GET request with SSE connection parameters","separate HTTP POST requests for client-to-server messages"],"output_types":["HTTP 200 response with text/event-stream MIME type","server-sent events (one MCP message per event)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_11","uri":"capability://tool.use.integration.interactive.web.ui.for.mcp.protocol.exploration.and.testing","name":"interactive web ui for mcp protocol exploration and testing","description":"Provides a browser-based interactive UI (src/static/index.html, styles.css) enabling users to explore MCP server capabilities, authenticate via OAuth, and test tools/resources without writing code. The UI displays available tools with their schemas, resources with metadata, and prompts with argument templates. Users can invoke tools, retrieve resources, and sample prompts directly from the browser, with real-time response display and error handling. The UI serves as both a learning tool and a testing interface for MCP server development.","intents":["Explore MCP server capabilities without writing client code","Test tools, resources, and prompts during development","Authenticate via OAuth and manage access tokens interactively","Learn MCP protocol patterns through interactive exploration"],"best_for":["Developers learning MCP protocol through interactive exploration","MCP server developers testing implementations during development","Non-technical stakeholders exploring MCP server capabilities"],"limitations":["UI is read-only for resource/tool discovery; no persistent state or history","Complex tool parameters require manual JSON entry; no form builder","No built-in rate limiting or request throttling; high-volume testing may overwhelm server","Browser-based; requires JavaScript support and modern browser features"],"requires":["Modern web browser with JavaScript support","MCP server running at accessible URL","OAuth 2.0 credentials (client_id, redirect_uri)"],"input_types":["tool name and parameters (entered via UI forms or JSON)","resource URI (entered via UI search)","prompt name and arguments (entered via UI forms)"],"output_types":["rendered tool results (JSON, text, HTML)","resource content (displayed in browser)","completion results (streamed to UI)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_2","uri":"capability://tool.use.integration.13.example.mcp.applications.with.interactive.ui.integration","name":"13 example mcp applications with interactive ui integration","description":"Provides 13 stateless MCP App example servers (ExampleAppsModule at src/modules/example-apps/index.ts) each exposing domain-specific tools and resources via individual /:slug/mcp endpoints (e.g., /budget-allocator/mcp). Each example app demonstrates interactive UI patterns for MCP integration, showing how to build practical applications on top of the MCP protocol. Apps are stateless and independently deployable, serving as both learning resources and copy-paste templates for builders.","intents":["Learn MCP integration patterns through concrete, runnable examples","Copy example app code as starting point for custom MCP applications","Demonstrate UI/UX patterns for MCP tool and resource presentation","Test MCP client implementations against diverse tool/resource schemas"],"best_for":["Developers new to MCP learning through working examples","Teams prototyping MCP applications and need reference implementations","MCP client library developers testing against diverse server implementations"],"limitations":["Example apps are stateless; no persistence across requests (suitable for demos, not production data)","Each app runs in the same process; resource-intensive apps may impact overall server performance","Limited to 13 pre-built examples; custom domains require forking or extending the codebase"],"requires":["Node.js 18+","MCP client library compatible with the example app's tool/resource schemas","Valid OAuth 2.0 access token"],"input_types":["MCP tool invocation requests with domain-specific parameters","MCP resource requests with example app-specific identifiers"],"output_types":["Domain-specific tool results (e.g., budget allocations, weather data)","Structured resource content (JSON, markdown, HTML)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_3","uri":"capability://automation.workflow.redis.backed.session.management.for.horizontal.scalability","name":"redis-backed session management for horizontal scalability","description":"Implements session persistence via Redis integration enabling the MCP server to scale horizontally across multiple instances without losing client session state. Session data (authentication tokens, tool invocation history, resource access logs) is stored in Redis with configurable TTL, allowing any instance in a load-balanced cluster to serve subsequent requests from the same client. The session manager abstracts Redis operations, supporting both in-memory fallback (development) and Redis backend (production).","intents":["Scale MCP server across multiple instances without session loss","Maintain client session state across server restarts or instance failures","Implement session-based rate limiting and audit logging across distributed deployments","Enable zero-downtime deployments by preserving session continuity"],"best_for":["Teams deploying MCP servers to production with high availability requirements","Organizations running MCP servers on Kubernetes or container orchestration platforms","Deployments requiring session persistence across multiple geographic regions"],"limitations":["Requires external Redis instance (adds operational complexity and potential single point of failure)","Redis network latency adds 5-20ms per session operation; not suitable for ultra-low-latency requirements","Session data stored in Redis is not encrypted by default; requires Redis TLS and authentication configuration","In-memory fallback mode loses all sessions on server restart (development only)"],"requires":["Redis 6.0+ instance (local or remote)","Redis connection string (redis://host:port or REDIS_URL environment variable)","Node.js 18+"],"input_types":["session identifiers (client_id, session_token)","session data objects (authentication state, tool invocation context)"],"output_types":["session metadata (creation_time, last_accessed, ttl)","serialized session state (JSON)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_4","uri":"capability://automation.workflow.three.operational.modes.internal.external.demo.with.flexible.authentication","name":"three operational modes (internal, external, demo) with flexible authentication","description":"Supports three distinct operational modes controlled by AUTH_MODE environment variable: (1) internal mode runs AuthModule in-process with InternalTokenValidator for development convenience, (2) external mode delegates token validation to a remote auth server via ExternalTokenValidator for production isolation, (3) demo mode disables authentication entirely for public demonstrations. Mode selection is determined at startup via config.auth.mode, allowing the same codebase to run in development, production, and demo environments without code changes.","intents":["Run MCP server in development with zero external dependencies (internal mode)","Deploy MCP server to production with separate, independently-scalable auth server (external mode)","Host public demo instances without authentication overhead (demo mode)","Transition from development to production without code refactoring"],"best_for":["Development teams wanting local testing without Redis/auth server setup","Production deployments requiring auth server isolation and independent scaling","Public demo/sandbox instances with no authentication requirements"],"limitations":["Internal mode stores sessions in-memory; all sessions lost on restart","External mode requires network connectivity to auth server; auth failures block MCP requests","Demo mode exposes all MCP resources/tools without access control; unsuitable for sensitive data","Mode selection is static at startup; runtime mode switching not supported"],"requires":["Node.js 18+","AUTH_MODE environment variable set to 'internal', 'external', or 'demo'","For external mode: remote auth server URL (AUTH_SERVER_URL environment variable)"],"input_types":["AUTH_MODE environment variable","AUTH_SERVER_URL (external mode only)"],"output_types":["token validation result (valid/invalid)","authentication bypass (demo mode)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_5","uri":"capability://tool.use.integration.mcp.tool.invocation.with.9.reference.implementations","name":"mcp tool invocation with 9 reference implementations","description":"Implements 9 reference tools demonstrating various MCP tool patterns including parameter validation, async execution, error handling, and result formatting. Tools are registered in the MCP protocol module with JSON schema definitions enabling clients to discover tool signatures and invoke them with type-safe parameters. Each tool implementation demonstrates best practices for error handling, logging, and result serialization, serving as templates for custom tool development.","intents":["Invoke domain-specific tools from LLM agents via MCP protocol","Discover available tools and their parameter schemas programmatically","Learn tool implementation patterns through reference examples","Execute async operations (API calls, database queries) from LLM context"],"best_for":["LLM application developers building agent systems with tool calling","Teams implementing custom MCP tools and needing reference patterns","MCP client library developers testing tool invocation flows"],"limitations":["9 tools are examples only; production applications require custom tool implementations","Tool execution is synchronous from client perspective; long-running tools may timeout","No built-in tool result caching; repeated invocations re-execute tool logic","Tool parameters must conform to JSON schema; complex types require serialization"],"requires":["Node.js 18+","MCP client library with tool invocation support","Valid OAuth 2.0 access token"],"input_types":["tool name (string identifier)","tool parameters (JSON object conforming to tool's schema)"],"output_types":["tool result (JSON object or string)","error message (if tool execution fails)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_6","uri":"capability://memory.knowledge.mcp.resource.exposure.with.100.reference.resources","name":"mcp resource exposure with 100+ reference resources","description":"Exposes 100+ reference resources via the MCP protocol with hierarchical organization, metadata, and content retrieval. Resources are registered with URI schemes, MIME types, and descriptions enabling clients to discover and retrieve resource content. The resource system demonstrates patterns for exposing static content, generated content, and external data sources through a unified MCP interface. Resources support filtering and pagination for large collections.","intents":["Expose structured data and documents to LLM agents via standardized MCP resource protocol","Enable LLM context augmentation with domain-specific knowledge bases and reference materials","Provide programmatic access to resource metadata and content discovery","Demonstrate resource organization patterns for custom implementations"],"best_for":["LLM application developers building context-augmented agents","Teams building knowledge base integrations with MCP","Reference implementation users learning resource exposure patterns"],"limitations":["100+ resources are examples only; production systems require custom resource implementations","Resource content is generated on-demand; no built-in caching (suitable for small datasets)","Resource filtering is basic; complex queries require client-side filtering","No built-in access control per resource; all authenticated clients see all resources"],"requires":["Node.js 18+","MCP client library with resource retrieval support","Valid OAuth 2.0 access token"],"input_types":["resource URI (string identifier)","optional filter/pagination parameters"],"output_types":["resource content (text, JSON, markdown, HTML)","resource metadata (MIME type, size, last_modified)"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_7","uri":"capability://text.generation.language.mcp.prompt.templates.with.sampling.and.completion.support","name":"mcp prompt templates with sampling and completion support","description":"Implements MCP prompt templates enabling clients to discover and instantiate reusable prompt patterns with variable substitution. The prompt system supports sampling (generating multiple completions from a single prompt) and completion (generating single responses), with configurable parameters for model selection, temperature, and token limits. Prompts are registered with argument schemas enabling clients to discover required variables and invoke prompts with type-safe parameters.","intents":["Discover reusable prompt templates from MCP server","Instantiate prompts with variable substitution for dynamic content","Generate multiple completions from a single prompt template (sampling)","Standardize prompt engineering patterns across distributed LLM applications"],"best_for":["Teams standardizing prompt patterns across multiple LLM applications","LLM application developers building prompt-as-a-service architectures","Organizations managing prompt versioning and A/B testing"],"limitations":["Prompt templates are examples only; production systems require custom prompt implementations","Sampling and completion require integration with external LLM APIs (OpenAI, Anthropic, etc.)","No built-in prompt versioning or A/B testing framework; requires external tooling","Prompt parameters must conform to JSON schema; complex logic requires client-side processing"],"requires":["Node.js 18+","MCP client library with prompt support","Valid OAuth 2.0 access token","LLM API credentials (OpenAI, Anthropic, etc.) for sampling/completion"],"input_types":["prompt name (string identifier)","prompt arguments (JSON object conforming to prompt's schema)"],"output_types":["instantiated prompt (string)","completion result (string or structured data)","sampling results (array of completions)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_8","uri":"capability://automation.workflow.comprehensive.logging.and.event.notifications","name":"comprehensive logging and event notifications","description":"Implements structured logging and event notification system capturing all MCP protocol interactions, authentication events, tool invocations, and resource access. Logs are structured as JSON enabling programmatic analysis and integration with observability platforms (ELK, Datadog, etc.). The notification system enables clients to subscribe to server events (tool execution, resource access, authentication) via MCP protocol, supporting real-time monitoring and audit trails.","intents":["Monitor MCP server activity and diagnose issues through structured logs","Implement audit trails for compliance and security investigations","Subscribe to real-time server events for monitoring dashboards","Integrate MCP server logs with observability platforms (ELK, Datadog, CloudWatch)"],"best_for":["Production MCP deployments requiring observability and audit trails","Security-sensitive applications needing comprehensive access logging","Teams integrating MCP servers with existing monitoring infrastructure"],"limitations":["Logging adds ~5-10ms per request; high-volume deployments may require log sampling","Structured JSON logging requires parsing; traditional log aggregation tools need JSON support","Event notifications are fire-and-forget; no guaranteed delivery for missed subscribers","Log retention is not built-in; requires external log storage (ELK, S3, etc.)"],"requires":["Node.js 18+","Optional: log aggregation platform (ELK, Datadog, CloudWatch, etc.)","Optional: event subscription support in MCP client"],"input_types":["MCP protocol events (tool invocation, resource access, authentication)","server configuration (log level, event filters)"],"output_types":["structured JSON logs (stdout/file)","event notifications (MCP protocol messages)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github_mcp-modelcontextprotocol-example-remote-server__cap_9","uri":"capability://automation.workflow.streamable.http.transport.with.chunked.streaming.responses","name":"streamable http transport with chunked streaming responses","description":"Implements modern Streamable HTTP transport for MCP protocol using HTTP/1.1 chunked transfer encoding, enabling efficient streaming of large responses (tool results, resource content, completions) without buffering entire payloads in memory. The transport layer abstracts HTTP details from the MCP protocol implementation, supporting both request/response streaming and server-initiated notifications. Streamable HTTP is the recommended transport for new implementations, offering lower latency and better resource efficiency than legacy SSE.","intents":["Stream large tool results and resource content efficiently without buffering","Reduce memory footprint for high-concurrency MCP servers","Implement real-time streaming completions from LLM APIs","Support modern HTTP clients with streaming capabilities"],"best_for":["Production MCP servers handling large responses or high concurrency","Applications streaming LLM completions to clients in real-time","Deployments behind HTTP/1.1-compatible proxies and load balancers"],"limitations":["Requires HTTP/1.1 chunked transfer encoding support; some proxies/firewalls may block or buffer chunks","Client must support streaming responses; older HTTP clients may not work","Chunk boundaries are transparent to MCP protocol; large messages may span multiple chunks","No built-in compression; large streaming responses consume more bandwidth than buffered responses"],"requires":["Node.js 18+","HTTP/1.1 compatible client library with streaming support","Valid OAuth 2.0 access token"],"input_types":["HTTP POST request with MCP protocol message","streaming request body (for large tool parameters)"],"output_types":["HTTP 200 response with chunked transfer encoding","streamed MCP protocol messages (one per chunk)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+","Redis instance (for external mode deployments)","OAuth 2.0 client registration (client_id, client_secret for confidential clients)","MCP-compatible client library (e.g., @modelcontextprotocol/sdk)","Valid OAuth 2.0 access token from AuthModule","SSE-compatible MCP client library","Valid OAuth 2.0 access token","Modern web browser with JavaScript support","MCP server running at accessible URL","OAuth 2.0 credentials (client_id, redirect_uri)"],"failure_modes":["Requires external Redis instance for session management in external mode (not included)","Token validation adds network round-trip latency in external mode (~50-200ms per request)","PKCE implementation requires client-side support for code_challenge generation","Session state stored in-memory by default; requires Redis integration for multi-instance deployments","Streamable HTTP transport requires HTTP/1.1 chunked transfer encoding support (not all proxies/firewalls compatible)","Legacy SSE transport has higher latency and connection overhead vs Streamable HTTP","SSE has higher latency than Streamable HTTP due to long-polling overhead","Unidirectional (server-to-client only); client-to-server requires separate HTTP requests","Connection overhead increases with number of concurrent clients","Event parsing adds CPU overhead compared to binary streaming protocols","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.1956464345381196,"quality":0.49,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.065Z","last_scraped_at":"2026-05-03T14:23:41.032Z","last_commit":"2026-04-29T13:24:48Z"},"community":{"stars":72,"forks":28,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-modelcontextprotocol-example-remote-server","compare_url":"https://unfragile.ai/compare?artifact=mcp-modelcontextprotocol-example-remote-server"}},"signature":"Ssun/XNbP72j7UrgEISho0UohJVukfG3rzg0UkzZxrur9hAtRs2kV5Uekr/HrLXko1XZN61Ura7gRQrDKaiwBg==","signedAt":"2026-06-20T02:19:54.990Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-modelcontextprotocol-example-remote-server","artifact":"https://unfragile.ai/mcp-modelcontextprotocol-example-remote-server","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-modelcontextprotocol-example-remote-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"}}