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The server exposes its capabilities through the MCP protocol's introspection mechanism, allowing clients to discover available tools, resources, and prompts at runtime.","intents":["I need to expose custom tools and resources to Claude or other MCP-compatible clients","I want to build a server that advertises its capabilities dynamically to MCP clients","I need to handle bidirectional communication with MCP clients using JSON-RPC","I want to integrate my service into the MCP ecosystem without building custom protocol handlers"],"best_for":["developers building integrations between local services and Claude Desktop or other MCP clients","teams creating custom tool servers for enterprise LLM deployments","builders extending MCP ecosystem with domain-specific capabilities"],"limitations":["Limited to MCP protocol specification — cannot use proprietary or non-standard communication patterns","Requires MCP client support — not compatible with non-MCP LLM interfaces","No built-in authentication or encryption — relies on transport layer security (typically stdio or SSE)","Capability discovery is static per server instance — dynamic capability changes require server restart"],"requires":["MCP client implementation (Claude Desktop, or custom MCP client library)","JSON-RPC 2.0 compatible transport (stdio, HTTP with SSE, or WebSocket)","Understanding of MCP protocol specification and capability types"],"input_types":["JSON-RPC requests from MCP clients","Tool invocation payloads with arguments","Resource URIs and access requests"],"output_types":["JSON-RPC responses with results or errors","Tool execution results (text, structured data, or binary)","Resource content (text, JSON, or binary streams)"],"categories":["tool-use-integration","mcp-protocol"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abda11ah-our__cap_1","uri":"capability://tool.use.integration.tool.definition.and.invocation.routing","name":"tool definition and invocation routing","description":"Provides a framework for defining tools (functions exposed to MCP clients) with structured schemas, argument validation, and execution routing. Tools are registered with the server and advertised to clients through the MCP capability discovery mechanism. When clients invoke tools, the server routes requests to the appropriate handler, validates arguments against the schema, and returns results or errors in MCP-compliant format.","intents":["I want to expose a set of functions as tools that Claude can call","I need to validate tool arguments before execution to prevent invalid calls","I want to define tool schemas (name, description, parameters) that clients can discover","I need to handle tool execution errors and return them in a standardized format"],"best_for":["developers building custom tool servers for Claude or other MCP clients","teams creating domain-specific tool libraries (e.g., database query tools, API wrappers)","builders implementing multi-tool agents that need structured tool definitions"],"limitations":["Tool schemas must conform to MCP tool definition format — custom schema extensions may not be supported","No built-in rate limiting or quota management per tool","Tool execution is synchronous — long-running operations may block the server","Error handling is limited to MCP error response format — custom error metadata may be lost"],"requires":["MCP tool schema definition (name, description, input schema as JSON Schema)","Handler function implementation for each tool","Understanding of JSON Schema for parameter validation"],"input_types":["Tool invocation requests with tool name and arguments (JSON)","Tool definitions with schemas and metadata"],"output_types":["Tool execution results (text, JSON, or structured data)","MCP error responses with error codes and messages"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abda11ah-our__cap_2","uri":"capability://tool.use.integration.resource.exposure.and.streaming","name":"resource exposure and streaming","description":"Enables the server to expose resources (files, data, or computed content) to MCP clients through a resource URI system. Resources can be static (files on disk) or dynamic (computed at request time). The server implements resource listing, content retrieval, and optional streaming for large resources. Clients can discover available resources through the MCP protocol and request content with optional filtering or pagination parameters.","intents":["I want to expose files or data from my system as resources that Claude can access","I need to provide dynamic, computed content (e.g., database query results) as resources","I want to stream large resources to clients without loading them entirely into memory","I need clients to discover available resources and their metadata before accessing them"],"best_for":["developers building knowledge base or document access servers","teams exposing file systems or data stores to Claude for analysis","builders creating resource-heavy integrations (e.g., large codebase indexing, database query results)"],"limitations":["Resource URIs must follow MCP resource URI scheme — custom URI formats may not be supported","No built-in access control — authentication/authorization must be implemented separately","Streaming is limited by MCP transport layer (stdio, SSE, WebSocket) — very large resources may timeout","Resource metadata (size, type, modification time) is optional — clients cannot rely on it for optimization"],"requires":["Resource URI scheme definition (e.g., 'file://path/to/file', 'db://query/result')","Resource content provider (file system access, database connection, or computation function)","MCP client support for resource streaming (if using large resources)"],"input_types":["Resource URI requests from clients","Resource listing queries with optional filters","Resource metadata requests"],"output_types":["Resource content (text, binary, or streamed)","Resource metadata (URI, name, MIME type, size)","Resource listing with URIs and metadata"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abda11ah-our__cap_3","uri":"capability://text.generation.language.prompt.template.definition.and.parameterization","name":"prompt template definition and parameterization","description":"Allows the server to define and expose prompt templates that MCP clients can discover and use. Prompts are defined with a name, description, and parameter schema, enabling clients to request prompt instantiation with specific parameters. The server renders templates with provided arguments and returns the instantiated prompt text. This enables reusable, parameterized prompts that can be shared across multiple clients and use cases.","intents":["I want to define reusable prompt templates that Claude can discover and use","I need to parameterize prompts so clients can customize them at runtime","I want to expose domain-specific prompts (e.g., code review templates, analysis prompts) to clients","I need to version and manage prompts centrally rather than embedding them in client code"],"best_for":["teams managing prompt libraries for consistent LLM interactions","developers building prompt-as-a-service integrations","organizations standardizing prompts across multiple Claude deployments"],"limitations":["Prompt templates are limited to text-based parameterization — no support for conditional logic or branching","No built-in version control — prompt updates require server restart or dynamic reloading","Parameter validation is schema-based only — complex validation logic must be implemented separately","Prompt rendering is synchronous — complex template processing may add latency"],"requires":["Prompt template definition (name, description, parameter schema, template text)","Template rendering engine (likely simple string substitution or Jinja2-style templating)","Parameter schema in JSON Schema format"],"input_types":["Prompt instantiation requests with template name and parameters (JSON)","Prompt listing queries"],"output_types":["Instantiated prompt text","Prompt metadata (name, description, parameters)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abda11ah-our__cap_4","uri":"capability://tool.use.integration.client.capability.negotiation.and.feature.detection","name":"client capability negotiation and feature detection","description":"Implements MCP protocol negotiation to detect client capabilities and adapt server behavior accordingly. During initialization, the server exchanges capability information with the client, determining which features (tools, resources, prompts, sampling) are supported. The server can then conditionally expose capabilities or adjust response formats based on client support, ensuring compatibility across different MCP client implementations.","intents":["I want to support multiple MCP client versions with different capability levels","I need to detect if a client supports streaming or other advanced features","I want to gracefully degrade functionality for older or limited MCP clients","I need to advertise only the capabilities my server actually supports"],"best_for":["developers building MCP servers that need to support multiple client versions","teams deploying MCP servers in heterogeneous environments with varying client capabilities","builders creating backward-compatible MCP integrations"],"limitations":["Capability negotiation is one-time at initialization — dynamic capability changes are not supported","No built-in fallback mechanism — servers must manually implement degradation logic","Capability detection is limited to MCP protocol specification — custom capabilities may not be negotiated","No capability versioning — servers cannot advertise multiple versions of the same capability"],"requires":["MCP protocol implementation with initialization handshake","Server capability declaration (supported tools, resources, prompts, sampling)","Client capability information from MCP initialization response"],"input_types":["MCP initialization request with client capabilities"],"output_types":["MCP initialization response with server capabilities","Conditional capability exposure based on client support"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abda11ah-our__cap_5","uri":"capability://planning.reasoning.sampling.and.model.interaction.delegation","name":"sampling and model interaction delegation","description":"Provides a mechanism for the server to request that the MCP client (or its underlying LLM) perform sampling or model interactions on behalf of the server. This enables servers to leverage the client's LLM capabilities for tasks like content generation, analysis, or decision-making without embedding a separate LLM. The server sends a sampling request with a prompt and parameters, and the client returns the LLM's response.","intents":["I want my MCP server to use the client's LLM for content generation or analysis","I need to delegate decision-making to the LLM without running my own model","I want to create a feedback loop where the server requests LLM analysis and acts on the results","I need to leverage the client's LLM context and system prompts for server-side reasoning"],"best_for":["developers building MCP servers that need LLM reasoning capabilities","teams creating agentic servers that delegate decisions to the client's LLM","builders implementing feedback loops between server logic and LLM analysis"],"limitations":["Sampling requests are routed through the client — adds latency and depends on client LLM availability","No direct control over model selection or parameters — limited to client's LLM configuration","Sampling context is limited to the request prompt — cannot access full conversation history","No built-in caching or result deduplication — repeated sampling requests are not optimized"],"requires":["MCP client with sampling capability support","Sampling request format (prompt, model parameters like temperature, max tokens)","Understanding of LLM response format and error handling"],"input_types":["Sampling request with prompt and model parameters","Optional system prompt or context"],"output_types":["LLM-generated text response","Sampling metadata (stop reason, token count)"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abda11ah-our__cap_6","uri":"capability://safety.moderation.error.handling.and.structured.error.responses","name":"error handling and structured error responses","description":"Provides a standardized error handling mechanism that converts exceptions and validation failures into JSON-RPC 2.0 error responses with appropriate error codes, messages, and optional error data. Distinguishes between different error types (validation errors, tool execution errors, resource not found, etc.) and returns structured error information that clients can parse and handle programmatically.","intents":["I want tool execution errors to be returned to clients in a structured format they can handle","I need to distinguish between different error types (validation, execution, not found) so clients can respond appropriately","I want to provide detailed error information without exposing sensitive internal details"],"best_for":["developers building robust MCP servers with comprehensive error handling","teams creating AI agent systems that need to handle tool failures gracefully","builders implementing MCP client libraries that need to parse and respond to errors"],"limitations":["Error codes are limited to JSON-RPC 2.0 standard codes — no custom error code registry","Error data structure is not standardized across different error types","No built-in error logging or monitoring — must be implemented separately"],"requires":["JSON-RPC 2.0 error response format","Error code mapping (e.g., -32600 for invalid request, -32601 for method not found)"],"input_types":["Exceptions or error objects from tool handlers or resource readers"],"output_types":["JSON-RPC 2.0 error response with code, message, and optional data"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["MCP client implementation (Claude Desktop, or custom MCP client library)","JSON-RPC 2.0 compatible transport (stdio, HTTP with SSE, or WebSocket)","Understanding of MCP protocol specification and capability types","MCP tool schema definition (name, description, input schema as JSON Schema)","Handler function implementation for each tool","Understanding of JSON Schema for parameter validation","Resource URI scheme definition (e.g., 'file://path/to/file', 'db://query/result')","Resource content provider (file system access, database connection, or computation function)","MCP client support for resource streaming (if using large resources)","Prompt template definition (name, description, parameter schema, template text)"],"failure_modes":["Limited to MCP protocol specification — cannot use proprietary or non-standard communication patterns","Requires MCP client support — not compatible with non-MCP LLM interfaces","No built-in authentication or encryption — relies on transport layer security (typically stdio or SSE)","Capability discovery is static per server instance — dynamic capability changes require server restart","Tool schemas must conform to MCP tool definition format — custom schema extensions may not be supported","No built-in rate limiting or quota management per tool","Tool execution is synchronous — long-running operations may block the server","Error handling is limited to MCP error response format — custom error metadata may be lost","Resource URIs must follow MCP resource URI scheme — custom URI formats may not be supported","No built-in access control — authentication/authorization must be implemented separately","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.24,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.5,"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":"2026-05-24T12:16:25.061Z","last_scraped_at":"2026-05-03T15:19:08.155Z","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=abda11ah-our","compare_url":"https://unfragile.ai/compare?artifact=abda11ah-our"}},"signature":"LSU7ChXL3NVq3RzUzKNvKy1S6MVUq2C7ezFTCBeH2D0lujxgkk24LSsPMpeCu9AUy7AQXmi95N4XOo7hFZ91BQ==","signedAt":"2026-06-20T03:04:29.581Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/abda11ah-our","artifact":"https://unfragile.ai/abda11ah-our","verify":"https://unfragile.ai/api/v1/verify?slug=abda11ah-our","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"}}