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Resources are registered with metadata (name, description, MIME type) and content is served on-demand via a content handler function, supporting text, binary, and streaming content. Clients discover available resources through the MCP protocol and can request specific resource content or list resources matching patterns.","intents":["Expose a document library or knowledge base to Claude for retrieval-augmented generation","Serve file contents from a codebase or documentation system to LLM clients","Implement dynamic resource generation (e.g., database query results) that LLMs can access","Allow LLMs to browse and search available resources before requesting specific content"],"best_for":["Teams building RAG systems where LLMs need access to external documents","Developers integrating documentation or knowledge bases with Claude","Projects requiring fine-grained access control over what resources LLMs can access"],"limitations":["Resource discovery is passive — clients must know resource URIs or use list operations to find resources","No built-in pagination or streaming for large resources — content is served in full or requires custom chunking","Resource access control is application-level — SDK provides no built-in authentication or authorization","Resource content is not indexed or cached by the SDK — each request triggers the content handler"],"requires":["Node.js 16+","Resource content must be available in memory or via synchronous/async file I/O"],"input_types":["Resource URI strings (e.g., 'file://docs/readme.md')","Resource list queries with optional pattern matching","MIME type specifications for content negotiation"],"output_types":["Resource metadata (name, description, MIME type, URI)","Resource content as text, binary, or structured data","Resource list with metadata for all matching resources"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-redoclymcp-typescript-sdk__cap_4","uri":"capability://text.generation.language.prompt.template.management.and.completion","name":"prompt template management and completion","description":"Allows servers to register reusable prompt templates with variable placeholders that LLM clients can request and instantiate. 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The SDK handles variable substitution and returns the completed prompt text, enabling centralized prompt management and versioning.","intents":["Define reusable prompt templates that Claude can invoke with different parameters","Manage prompt versions server-side and update them without client changes","Provide context-specific prompts (e.g., different prompts for different user roles)","Enable LLMs to request specialized prompts for complex reasoning tasks"],"best_for":["Teams managing multiple prompts across different applications","Projects requiring prompt versioning and A/B testing","Developers building multi-tenant systems with role-specific prompts"],"limitations":["Prompt templates are simple string substitution — no conditional logic or loops within templates","Template arguments must be explicitly defined — no dynamic argument discovery","No built-in prompt optimization or evaluation — templates are served as-is","Template storage is in-memory by default — requires custom persistence for durability"],"requires":["Node.js 16+","Prompt templates must be registered at server startup or via dynamic registration"],"input_types":["Prompt template strings with variable placeholders (e.g., '{{variable}}')","Template metadata (name, description, argument definitions)","Argument values for template completion"],"output_types":["Completed prompt text with variables substituted","Prompt template metadata and available arguments"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-redoclymcp-typescript-sdk__cap_5","uri":"capability://tool.use.integration.request.response.message.routing.and.error.handling","name":"request-response message routing and error handling","description":"Implements JSON-RPC 2.0 message routing that maps incoming requests to registered handler functions and automatically serializes responses. Includes built-in error handling with standardized error codes and messages, request ID tracking for correlation, and support for both synchronous and asynchronous handlers. Errors are caught and formatted according to JSON-RPC 2.0 spec with optional stack traces in development mode.","intents":["Route incoming MCP requests to the correct handler function based on method name","Handle errors in tool execution and return them to clients in a standard format","Track request IDs to correlate responses with requests in bidirectional communication","Support both sync and async handlers without requiring developers to manage Promise handling"],"best_for":["Developers building MCP servers with multiple tools and resources","Teams needing robust error handling and debugging capabilities","Projects requiring request tracing and correlation across distributed systems"],"limitations":["JSON-RPC 2.0 spec limits error codes to predefined set — custom error codes require wrapping in error message","Stack traces in error responses expose internal implementation details — should be disabled in production","No built-in request rate limiting or throttling — requires external middleware","Synchronous handlers block the event loop — long-running operations should be async"],"requires":["Node.js 16+ with Promise support","Understanding of JSON-RPC 2.0 protocol and error code semantics"],"input_types":["JSON-RPC 2.0 request objects with method, params, and id fields","Handler function definitions (sync or async)"],"output_types":["JSON-RPC 2.0 response objects with result or error fields","Standardized error objects with code, message, and optional data"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-redoclymcp-typescript-sdk__cap_6","uri":"capability://planning.reasoning.client.initiated.request.handling.sampling","name":"client-initiated request handling (sampling)","description":"Enables MCP servers to send requests to connected clients (e.g., asking Claude to generate text or analyze content) and wait for responses. Implements bidirectional communication where servers can invoke client capabilities like text generation, image analysis, or tool execution, with request ID tracking and timeout handling. This allows servers to delegate complex reasoning tasks to the LLM client.","intents":["Ask Claude to generate or refine text from within a tool execution","Request the LLM client to analyze content and return results to the server","Implement multi-turn interactions where the server and client exchange requests","Delegate complex reasoning to the LLM while maintaining server-side business logic"],"best_for":["Developers building agentic systems where servers need to invoke LLM capabilities","Teams implementing complex workflows with bidirectional server-client communication","Projects requiring server-side reasoning or decision-making based on LLM outputs"],"limitations":["Client-initiated requests require an active client connection — cannot be used with stateless HTTP servers","Timeout handling must be configured explicitly — long-running LLM requests may exceed default timeouts","No built-in request queuing — concurrent requests from multiple server instances may overwhelm the client","Response format depends on client implementation — servers must handle variable response structures"],"requires":["Node.js 16+ with Promise and async/await support","Active MCP client connection (e.g., Claude Desktop or API client)","Client must support the requested capability (e.g., sampling for text generation)"],"input_types":["Request objects with method, params, and optional id fields","Timeout specifications in milliseconds","Request parameters specific to the requested capability"],"output_types":["Response objects with result or error fields","LLM-generated text, analysis results, or other client-provided data"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-redoclymcp-typescript-sdk__cap_7","uri":"capability://code.generation.editing.type.safe.handler.registration.with.typescript.decorators","name":"type-safe handler registration with typescript decorators","description":"Provides decorator-based syntax for registering tools, resources, and prompts on server classes, enabling compile-time type checking and IDE autocompletion. 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Implements streaming via generator functions or async iterables that yield content chunks, which are automatically formatted according to the MCP protocol. This enables real-time feedback for long-running operations like file processing or API calls.","intents":["Stream tool results back to the client as they become available","Provide real-time feedback for long-running operations without blocking","Serve large resource content incrementally to avoid memory overhead","Implement progressive tool execution where results are refined over time"],"best_for":["Developers building tools that process large files or make slow API calls","Teams needing real-time feedback in long-running operations","Projects with memory constraints where buffering full results is infeasible"],"limitations":["Streaming responses cannot be retried — partial results are already sent to the client","Error handling in streams is complex — errors mid-stream may leave client in inconsistent state","Clients must support streaming responses — older or simpler clients may not handle streams correctly","Streaming adds complexity to debugging — partial results make it harder to reproduce issues"],"requires":["Node.js 16+ with async generator support","MCP client that supports streaming responses (e.g., Claude API with streaming enabled)"],"input_types":["Generator functions that yield content chunks","Async iterables that produce results incrementally","Stream configuration (chunk size, encoding)"],"output_types":["Streamed content chunks in MCP protocol format","Progressive results that accumulate on the client side"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-redoclymcp-typescript-sdk__cap_9","uri":"capability://tool.use.integration.initialization.and.capability.negotiation","name":"initialization and capability negotiation","description":"Handles the MCP protocol handshake where servers and clients exchange capability information, protocol version, and implementation details. Servers declare supported features (tools, resources, prompts, sampling) and clients declare their capabilities. This negotiation ensures compatibility and allows servers to adapt behavior based on client capabilities.","intents":["Declare which MCP features the server supports to connecting clients","Negotiate protocol version and implementation details with clients","Detect client capabilities and adapt server behavior accordingly","Ensure servers and clients are compatible before exchanging requests"],"best_for":["Developers building MCP servers that need to support multiple client versions","Teams deploying servers in heterogeneous environments with different client capabilities","Projects requiring graceful degradation when clients lack certain features"],"limitations":["Capability negotiation is one-time at connection initialization — cannot be renegotiated mid-session","No built-in version compatibility matrix — servers must manually check version numbers","Clients may misreport capabilities — servers should validate capability claims with actual requests","Protocol version mismatch results in connection failure — no fallback to older protocol versions"],"requires":["Node.js 16+","Understanding of MCP protocol version and capability semantics"],"input_types":["Client initialization messages with protocol version and capabilities","Server configuration specifying supported features"],"output_types":["Server initialization response with protocol version and capabilities","Capability metadata (e.g., supported tool types, resource formats)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (ES2020+ support for async/await and decorators)","TypeScript 4.5+ if using decorator-based handler registration","npm or yarn package manager","TypeScript 4.5+ with strict mode enabled for accurate type inference","JSON Schema draft 7 or later compatibility in consuming LLM clients","Node.js 16+","Optional: external logging service (e.g., Winston, Pino) for production deployments","Node.js 16+ with Promise support","Understanding of connection lifecycle and resource management patterns","Node.js 16+ with built-in net/http modules"],"failure_modes":["TypeScript/JavaScript only — no Python, Go, or Rust implementations in this package","Requires understanding of MCP protocol specification and message formats","Transport layer abstractions may add latency for high-frequency tool calls","No built-in persistence or state management — requires external databases for stateful operations","Schema generation from TypeScript types requires explicit type annotations — inferred types may not generate complete schemas","Complex recursive or circular type definitions may not serialize correctly","Custom validation logic beyond JSON Schema constraints requires manual implementation","Logging adds overhead — verbose logging can impact performance for high-frequency operations","Structured logs require parsing and analysis tools — raw logs are not human-readable","Sensitive data (API keys, user inputs) may be logged — requires careful configuration to avoid leaks","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.36,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:24.482Z","last_scraped_at":"2026-05-03T14:23:50.777Z","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=npm-redoclymcp-typescript-sdk","compare_url":"https://unfragile.ai/compare?artifact=npm-redoclymcp-typescript-sdk"}},"signature":"KbnVlJ3TbtaGiBlxAnoPuCBqUOiUPQul98pUVCHRHpyu42xzIaJKrYUznC9qfzrac6o3djXOATbvND6X/3PVBA==","signedAt":"2026-06-19T23:49:54.818Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-redoclymcp-typescript-sdk","artifact":"https://unfragile.ai/npm-redoclymcp-typescript-sdk","verify":"https://unfragile.ai/api/v1/verify?slug=npm-redoclymcp-typescript-sdk","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"}}