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Tools are registered through a declarative interface that maps function implementations to tool metadata (name, description, input schema). 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Resources are registered with metadata (URI, MIME type, description) and the server handles content retrieval, caching, and streaming. Clients can discover available resources and request specific content, enabling use cases like providing context documents, configuration files, or generated content to LLM applications.","intents":["I want Claude to access documentation or reference files stored on my server","I need to serve dynamically generated content (e.g., database query results) to MCP clients","I want to expose a knowledge base or context repository that Claude can query"],"best_for":["developers building knowledge-augmented LLM applications","teams exposing internal documentation or reference materials to Claude","builders creating context-aware agents that need access to server-side data"],"limitations":["Resource discovery is limited to what the server exposes — no full-text search or filtering on the client side","Large resources may cause latency or memory issues — streaming support depends on implementation","No built-in access control — all registered resources are accessible to any authenticated MCP client"],"requires":["Resource content available on the server (files, database, API endpoints)","Resource metadata (URI, MIME type, description) defined at registration","MCP client that supports resource requests"],"input_types":["Resource URIs or identifiers","Resource metadata definitions"],"output_types":["Resource content (text, JSON, binary)","Resource metadata (MIME type, size, last modified)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abdulwahed-alhallak-my-mcp-server__cap_3","uri":"capability://text.generation.language.prompt.template.registration.and.execution","name":"prompt template registration and execution","description":"Enables the server to register reusable prompt templates that MCP clients can discover and invoke. 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The server handles prompt instantiation, argument substitution, and returns the final prompt text to the client, enabling consistent prompt engineering across multiple LLM applications.","intents":["I want to define standard prompts that Claude can use consistently across different conversations","I need to expose prompt templates with parameterized arguments to MCP clients","I want to centralize prompt management and version control for my LLM applications"],"best_for":["teams managing prompt engineering across multiple LLM applications","developers building prompt-heavy workflows that need consistency and reusability","builders creating prompt libraries that multiple clients can access"],"limitations":["Prompt templates are static at server startup — dynamic prompt generation requires server restart or custom implementation","No built-in prompt versioning or A/B testing — version management must be external","Limited to text-based prompts — no support for multimodal prompt content (images, audio)"],"requires":["Prompt template definitions with argument placeholders","MCP client that supports prompt discovery and invocation","Template engine or string substitution logic for argument replacement"],"input_types":["Prompt template definitions with metadata","Prompt invocation requests with argument values"],"output_types":["Instantiated prompt text","Prompt metadata (name, description, arguments)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abdulwahed-alhallak-my-mcp-server__cap_4","uri":"capability://tool.use.integration.client.capability.negotiation.and.feature.discovery","name":"client capability negotiation and feature discovery","description":"Implements MCP protocol handshake and capability negotiation between the server and connecting clients. During initialization, the server advertises its supported features (tools, resources, prompts, sampling capabilities) and the client declares its capabilities. This enables graceful degradation and ensures both parties understand what functionality is available, preventing requests for unsupported features.","intents":["I want my MCP server to work with different MCP client versions that support different feature sets","I need to know what capabilities a connecting client supports before invoking advanced features","I want to advertise my server's capabilities so clients can discover available tools and resources"],"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 adaptive MCP applications that adjust behavior based on client capabilities"],"limitations":["Capability negotiation is one-time at connection initialization — dynamic capability changes require reconnection","No built-in fallback mechanisms — clients must handle unsupported features gracefully","Limited to capabilities defined in the MCP specification — custom capabilities require protocol extensions"],"requires":["MCP protocol version compatibility between server and client","Client that implements MCP initialization handshake","Server configuration declaring supported capabilities"],"input_types":["Client capability declarations (JSON)","MCP initialization messages"],"output_types":["Server capability advertisements (JSON)","Initialization response with negotiated capabilities"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abdulwahed-alhallak-my-mcp-server__cap_5","uri":"capability://tool.use.integration.error.handling.and.protocol.compliant.error.responses","name":"error handling and protocol-compliant error responses","description":"Provides standardized error handling that converts exceptions and failures into MCP-compliant error responses. When tool invocations, resource requests, or other operations fail, the server catches exceptions, formats them according to the MCP protocol (including error codes and messages), and returns them to the client without crashing. This ensures robust communication and enables clients to handle errors gracefully.","intents":["I want tool execution errors to be reported to Claude without crashing the server","I need consistent error formatting across all MCP operations","I want clients to distinguish between different error types (invalid arguments, resource not found, server error)"],"best_for":["developers building production MCP servers that need reliability","teams deploying MCP servers in critical workflows where failures must be handled gracefully","builders creating error-resilient LLM applications"],"limitations":["Error details are limited to what the server exposes — sensitive information must be filtered manually","No built-in error recovery or retry logic — clients must implement retries if needed","Error categorization depends on implementation — custom error types may not map cleanly to MCP error codes"],"requires":["Exception handling in tool and resource handlers","MCP error code definitions (e.g., InvalidRequest, InternalError)","Logging infrastructure for debugging"],"input_types":["Exceptions and errors from tool/resource handlers"],"output_types":["MCP error responses with code, message, and optional data"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abdulwahed-alhallak-my-mcp-server__cap_6","uri":"capability://text.generation.language.sampling.capability.for.llm.model.invocation","name":"sampling capability for llm model invocation","description":"Enables the server to request that connected MCP clients (which have access to LLM models) perform sampling or inference on behalf of the server. 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This allows MCP servers to leverage LLM capabilities without directly calling model APIs, enabling agentic workflows where the server orchestrates LLM calls.","intents":["I want my MCP server to request Claude to generate text or perform inference on my behalf","I need to build an agent that uses LLM sampling as part of its decision-making process","I want to leverage the client's LLM access without managing API keys or model endpoints"],"best_for":["developers building agentic MCP servers that need LLM reasoning capabilities","teams creating multi-turn workflows where the server needs to invoke LLM sampling","builders implementing server-side agents that delegate reasoning to connected LLM clients"],"limitations":["Sampling is only available if the client supports it — not all MCP clients have LLM access","Model selection is limited to what the client supports — server cannot force specific models","Sampling requests add latency and may incur costs on the client side — no built-in cost tracking","No streaming support for sampling responses — entire generated text is returned at once"],"requires":["MCP client with LLM access (e.g., Claude Desktop with Claude API access)","Sampling request format with prompt and parameters","Model name or identifier supported by the client"],"input_types":["Sampling requests with prompt, model, temperature, max_tokens, system message"],"output_types":["Generated text from LLM sampling","Sampling metadata (stop reason, token count)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_abdulwahed-alhallak-my-mcp-server__cap_7","uri":"capability://tool.use.integration.logging.and.debugging.support.for.protocol.interactions","name":"logging and debugging support for protocol interactions","description":"Provides logging infrastructure to track MCP protocol messages, tool invocations, resource requests, and errors. The server logs incoming requests, outgoing responses, and internal state changes, enabling developers to debug integration issues and monitor server behavior. Logging can be configured at different verbosity levels to balance detail with performance.","intents":["I want to debug why a tool invocation is failing in my MCP server","I need to monitor all MCP protocol messages for troubleshooting","I want to track which tools and resources are being used by clients"],"best_for":["developers debugging MCP server implementations","teams monitoring production MCP servers for issues","builders analyzing client-server interactions for optimization"],"limitations":["Logging adds overhead — high-verbosity logging may impact performance","Log storage is not built-in — logs must be persisted externally","No built-in log rotation or cleanup — log files may grow unbounded"],"requires":["Logging library (e.g., winston, pino, or built-in Node.js logging)","Log output destination (console, file, external service)","Verbosity level configuration"],"input_types":["MCP protocol messages","Tool invocation requests and responses","Resource requests and responses","Errors and exceptions"],"output_types":["Structured or text logs with timestamps and context"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["Node.js runtime (version unspecified in artifact, likely 16+)","MCP client compatible with the server's protocol version","Basic understanding of MCP protocol concepts (tools, resources, prompts)","JSON Schema knowledge for defining tool input schemas","Tool handler functions matching the expected signature","MCP client that supports tool invocation (Claude Desktop, etc.)","Resource content available on the server (files, database, API endpoints)","Resource metadata (URI, MIME type, description) defined at registration","MCP client that supports resource requests","Prompt template definitions with argument placeholders"],"failure_modes":["Limited to MCP protocol version supported by the server implementation — breaking changes in future MCP versions may require updates","No built-in authentication or authorization — security must be implemented at the application layer","Single-threaded or limited concurrency depending on underlying runtime — high-volume concurrent requests may require custom scaling","Schema validation is limited to JSON Schema capabilities — complex conditional validation logic must be implemented in tool handlers","No built-in schema versioning — breaking schema changes require manual migration handling","Tool registry is static at server startup — dynamic tool registration/deregistration requires server restart","Resource discovery is limited to what the server exposes — no full-text search or filtering on the client side","Large resources may cause latency or memory issues — streaming support depends on implementation","No built-in access control — all registered resources are accessible to any authenticated MCP client","Prompt templates are static at server startup — dynamic prompt generation requires server restart or custom implementation","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.48999999999999994,"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":"2026-05-03T15:19:11.466Z","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=abdulwahed-alhallak-my-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=abdulwahed-alhallak-my-mcp-server"}},"signature":"kmMTngsmOaJMf/sl7OO6M3aQdNrdetJgQTkjJZe3d+vlnbtpp2sN0wMCBjMMNhlSp3fGetDipL8IBDtoPJZ4Aw==","signedAt":"2026-06-21T01:53:16.212Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/abdulwahed-alhallak-my-mcp-server","artifact":"https://unfragile.ai/abdulwahed-alhallak-my-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=abdulwahed-alhallak-my-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"}}