{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_albertlieyingadrian-example-mcp","slug":"albertlieyingadrian-example-mcp","name":"Example MCP Server","type":"mcp","url":"https://smithery.ai/docs/build/getting-started","page_url":"https://unfragile.ai/albertlieyingadrian-example-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:albertlieyingadrian/example-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_albertlieyingadrian-example-mcp__cap_0","uri":"capability://code.generation.editing.mcp.server.scaffolding.with.protocol.compliant.boilerplate.generation","name":"mcp server scaffolding with protocol-compliant boilerplate generation","description":"Generates a complete MCP server skeleton following the Model Context Protocol specification, including request/response handlers, resource definitions, and tool registration stubs. Uses template-based code generation to produce TypeScript/Python starter code that adheres to MCP message schemas and lifecycle requirements, reducing setup time from hours to minutes.","intents":["I need to quickly bootstrap an MCP server without manually implementing protocol handlers","I want a working example that demonstrates MCP best practices and patterns","I need to understand the minimal structure required for MCP server compliance"],"best_for":["developers building LLM integrations for the first time","teams rapidly prototyping MCP servers for internal tools","engineers migrating from REST APIs to the Model Context Protocol"],"limitations":["Generated boilerplate is minimal and requires substantial customization for production use","Does not auto-generate tool schemas from existing API definitions","Template assumes single-file or simple module structure; complex multi-service architectures require manual refactoring"],"requires":["Node.js 18+ or Python 3.9+","Basic understanding of async/await patterns","MCP specification knowledge (request/response message format)"],"input_types":["configuration parameters (server name, port, resource types)","tool/resource definitions (names, descriptions, argument schemas)"],"output_types":["TypeScript or Python source files","package.json or pyproject.toml with MCP dependencies","README with setup instructions"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_1","uri":"capability://tool.use.integration.tool.definition.schema.validation.and.registration","name":"tool definition schema validation and registration","description":"Validates tool/resource definitions against MCP schema requirements (argument types, return types, descriptions) and registers them into the server's tool registry with automatic request routing. Uses JSON Schema validation to ensure tool definitions are MCP-compliant before runtime, preventing schema mismatches between client requests and server handlers.","intents":["I want to ensure my tool definitions match MCP schema requirements before deploying","I need to register multiple tools with automatic request routing to handler functions","I want to catch schema errors at development time, not when Claude tries to call my tool"],"best_for":["developers building multi-tool MCP servers","teams implementing tool calling with strict schema contracts","engineers integrating existing APIs into MCP without manual schema translation"],"limitations":["Validation is static and does not test actual tool execution or side effects","Does not auto-generate schemas from function signatures; requires manual schema definition","No runtime type coercion — mismatched argument types will fail at invocation time"],"requires":["JSON Schema understanding","Tool definitions with explicit argument and return type specifications","MCP server instance with handler registration capability"],"input_types":["JSON Schema objects defining tool arguments","Tool metadata (name, description, category)","Handler function references or callable identifiers"],"output_types":["validated tool registry","error messages for schema violations","registered request routes"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_10","uri":"capability://code.generation.editing.example.tool.implementations.with.common.patterns","name":"example tool implementations with common patterns","description":"Provides pre-built example tool implementations demonstrating common patterns: database queries, REST API calls, file operations, data transformation, and external service integration. Each example includes error handling, logging, and input validation. Examples are fully functional and can be used as templates for building similar tools. Includes documentation explaining the pattern and how to adapt it for specific use cases.","intents":["I want to see how to implement a tool that queries a database or calls an API","I need examples of error handling and input validation for MCP tools","I want to understand common patterns before building my own tools"],"best_for":["developers new to MCP learning by example","teams establishing tool implementation standards","rapid prototyping scenarios where copy-paste templates accelerate development"],"limitations":["Examples are simplified — production implementations require additional error handling and edge case handling","Examples assume specific technology stacks (e.g., Node.js with Express, Python with FastAPI) — other stacks require adaptation","Examples do not cover all possible tool types — custom tool patterns require custom implementation","Documentation may lag behind best practices — examples should be validated against current MCP spec"],"requires":["Understanding of the specific technology stack used in examples","Access to example databases, APIs, or services for testing"],"input_types":["example tool type selection (database, API, file operations, etc.)","technology stack selection (Node.js, Python, etc.)"],"output_types":["example tool implementation code","documentation explaining the pattern","test cases demonstrating tool usage"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_11","uri":"capability://safety.moderation.mcp.specification.compliance.validation.and.linting","name":"mcp specification compliance validation and linting","description":"Validates MCP server implementations against the official specification, checking tool definitions, resource schemas, request/response formats, and protocol compliance. Provides linting rules for best practices (naming conventions, error handling, documentation). Generates compliance reports with detailed violations and remediation suggestions. Can be integrated into CI/CD pipelines to enforce compliance before deployment.","intents":["I want to ensure my MCP server implementation is fully compliant with the specification","I need to catch specification violations early in development before they cause client issues","I want to enforce team standards for MCP tool naming, documentation, and error handling"],"best_for":["teams building production MCP servers with strict compliance requirements","organizations enforcing standardized MCP implementations across teams","CI/CD pipelines requiring automated compliance checking"],"limitations":["Compliance validation is static — does not test runtime behavior or actual tool execution","Linting rules are opinionated — may conflict with team preferences or specific use cases","Validation requires access to server code and configuration — cannot validate deployed servers","Specification updates may require validator updates — lag between spec changes and validator support"],"requires":["MCP server source code or configuration","MCP specification version reference","Optional: CI/CD integration (GitHub Actions, GitLab CI, etc.)"],"input_types":["MCP server implementation (code or configuration)","compliance rules and linting preferences"],"output_types":["compliance report (pass/fail with violations)","detailed violation descriptions with line numbers","remediation suggestions and examples"],"categories":["safety-moderation","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_2","uri":"capability://tool.use.integration.resource.exposure.and.versioning.with.dynamic.updates","name":"resource exposure and versioning with dynamic updates","description":"Exposes application resources (files, database records, API endpoints) as MCP resources with versioning support, allowing clients to query available resources and subscribe to updates. Implements resource listing, metadata retrieval, and change notification patterns that enable LLMs to discover and interact with dynamic data sources without hardcoded references.","intents":["I want Claude to discover and access my application's data resources dynamically","I need to expose versioned resources so clients can track changes and invalidate caches","I want to provide resource metadata (type, schema, permissions) so LLMs understand what they can access"],"best_for":["teams building knowledge-aware LLM agents","applications with dynamic data sources that change frequently","systems requiring resource discovery without hardcoded client configuration"],"limitations":["Resource versioning is manual; no automatic change detection from underlying data sources","Subscription/notification model is polling-based by default; real-time push requires custom implementation","No built-in access control — resource exposure is all-or-nothing per client connection"],"requires":["MCP server with resource handler implementation","Resource metadata schema (type, URI, version)","Application data source or API to expose"],"input_types":["resource identifiers (URIs, paths, keys)","resource metadata (name, type, schema, version)","update notifications (version changes, content diffs)"],"output_types":["resource listings with metadata","resource content (text, structured data, binary)","version information and change notifications"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_3","uri":"capability://tool.use.integration.bidirectional.request.response.message.handling.with.error.propagation","name":"bidirectional request-response message handling with error propagation","description":"Implements MCP's request-response protocol with automatic message serialization, deserialization, and error handling. Routes incoming requests to appropriate handlers, captures responses or errors, and sends them back to the client with proper MCP error codes and stack traces. Handles connection lifecycle (initialization, heartbeat, graceful shutdown) automatically.","intents":["I need reliable message delivery between my server and MCP clients without implementing protocol details","I want errors from my tool handlers to be properly formatted and sent back to Claude","I need to handle connection setup and teardown without manual protocol state management"],"best_for":["developers building production MCP servers","teams requiring robust error handling and debugging","systems with strict message delivery guarantees"],"limitations":["Message routing is synchronous; long-running handlers block the event loop","Error propagation includes full stack traces, which may leak sensitive information in production","No built-in message queuing or retry logic for failed deliveries"],"requires":["MCP transport layer (stdio, HTTP, WebSocket)","Handler functions that return responses or throw errors","Client that implements MCP protocol (e.g., Claude, custom agent)"],"input_types":["MCP request messages (JSON with method, params, id)","Handler responses (any serializable type)","Handler errors (exceptions, custom error objects)"],"output_types":["MCP response messages (JSON with result, id)","MCP error messages (JSON with error code, message, id)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_4","uri":"capability://text.generation.language.prompt.template.registration.and.context.injection","name":"prompt template registration and context injection","description":"Registers reusable prompt templates that MCP clients can discover and invoke, with support for variable substitution and context injection. Templates are stored server-side and can be parameterized with tool outputs, resource data, or user input, enabling consistent prompt engineering across multiple LLM interactions without duplicating prompt logic in client code.","intents":["I want to define system prompts or instruction templates that Claude uses consistently across multiple conversations","I need to inject dynamic context (current user, database state, tool outputs) into prompts at runtime","I want to version and update prompts server-side without modifying client code"],"best_for":["teams building multi-turn LLM agents with consistent behavior","applications requiring prompt versioning and A/B testing","systems where prompt logic needs to be centralized and audited"],"limitations":["Template variable substitution is basic string replacement; no conditional logic or loops","No built-in prompt caching or optimization for repeated templates","Template discovery is manual; no automatic template recommendation based on context"],"requires":["MCP server with prompt handler implementation","Template definitions with variable placeholders","Client that supports MCP prompt discovery"],"input_types":["template names and descriptions","template text with variable placeholders (e.g., {{variable}})","variable values for substitution"],"output_types":["rendered prompt text","template metadata (name, description, variables)","template listings"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_5","uri":"capability://tool.use.integration.transport.abstraction.with.multiple.protocol.support","name":"transport abstraction with multiple protocol support","description":"Abstracts the underlying transport layer (stdio, HTTP, WebSocket) behind a unified interface, allowing the same MCP server code to run over different protocols without modification. Handles protocol-specific serialization, connection management, and message framing automatically, enabling deployment flexibility and client compatibility.","intents":["I want my MCP server to work with both local Claude Desktop and remote LLM clients without code changes","I need to switch from stdio to HTTP transport for cloud deployment without refactoring","I want to support multiple client types (Claude, custom agents, web browsers) simultaneously"],"best_for":["teams deploying MCP servers across different environments (local, cloud, edge)","developers building servers that need to support multiple client types","organizations requiring transport flexibility for compliance or infrastructure reasons"],"limitations":["Transport abstraction adds ~50-100ms latency per message due to serialization overhead","WebSocket support requires additional dependencies and may not work in all network environments","HTTP transport loses connection state between requests; stateful operations require session management"],"requires":["MCP server framework with transport abstraction","Transport-specific dependencies (e.g., Express for HTTP, ws for WebSocket)","Configuration to specify transport type at startup"],"input_types":["transport type specification (stdio, http, websocket)","transport configuration (port, host, path, TLS settings)"],"output_types":["MCP messages over specified transport","transport-specific connection metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_6","uri":"capability://code.generation.editing.type.safe.handler.function.binding.with.argument.validation","name":"type-safe handler function binding with argument validation","description":"Binds handler functions to tools/resources with automatic argument validation and type coercion based on tool schemas. Validates incoming request arguments against declared types, coerces values to expected types, and provides type-safe function signatures in the handler code. Catches argument mismatches before handler execution and provides detailed validation error messages.","intents":["I want TypeScript type safety for my tool handlers without manual argument validation","I need to validate that Claude is sending the right argument types before my handler runs","I want clear error messages when argument validation fails, not cryptic runtime errors"],"best_for":["TypeScript developers building type-safe MCP servers","teams with strict code quality requirements","systems where argument validation errors must be caught early"],"limitations":["Type safety is compile-time only; runtime validation still requires schema definitions","Complex nested types or union types may require manual validation logic","Type coercion can mask bugs; implicit conversions may hide argument mismatches"],"requires":["TypeScript 4.5+ or Python 3.9+ with type hints","Tool schema definitions with explicit argument types","MCP server framework with handler binding support"],"input_types":["handler function with typed parameters","tool schema with argument type specifications"],"output_types":["validated and coerced arguments passed to handler","validation error messages with details"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_7","uri":"capability://automation.workflow.logging.and.debugging.with.request.response.tracing","name":"logging and debugging with request/response tracing","description":"Provides structured logging of all MCP requests and responses with optional request/response body logging, timing information, and error stack traces. Enables debugging of protocol issues, tool invocation failures, and client-server communication problems through detailed trace logs that can be filtered by request type, tool name, or error status.","intents":["I need to debug why Claude's tool calls are failing or returning unexpected results","I want to understand the latency breakdown of my MCP server (handler time vs serialization vs network)","I need to audit which tools Claude is calling and with what arguments for compliance or debugging"],"best_for":["developers troubleshooting MCP server issues","teams requiring audit trails of tool invocations","systems with performance requirements and latency constraints"],"limitations":["Full request/response logging can expose sensitive data (API keys, user data); requires careful log sanitization","Detailed logging adds ~10-20ms overhead per request; may impact latency-sensitive applications","Log volume can be large for high-traffic servers; requires log rotation and retention policies"],"requires":["MCP server with logging integration","Logging framework (e.g., Winston, Python logging)","Log storage and analysis tools (optional but recommended)"],"input_types":["logging level configuration (debug, info, warn, error)","request/response filtering rules","log output destination (stdout, file, remote service)"],"output_types":["structured log entries with timestamps, request IDs, and metadata","request/response bodies (optional)","timing and performance metrics"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_8","uri":"capability://code.generation.editing.tool.testing.framework.with.mock.client.and.request.simulation","name":"tool testing framework with mock client and request simulation","description":"Provides a testing framework for MCP tools that simulates client requests, captures responses, and validates tool behavior. Includes mock MCP client implementation that can invoke tools with arbitrary parameters and inspect responses. Supports parameterized testing (multiple input combinations), response validation (schema checking, content assertions), and performance testing (latency measurement, throughput benchmarking).","intents":["I want to write unit tests for my MCP tools without setting up a full MCP client","I need to validate that my tool responses conform to the declared schema","I want to measure tool performance and catch regressions before deployment"],"best_for":["developers building MCP tools with quality assurance requirements","teams implementing CI/CD pipelines for MCP servers","organizations needing regression testing and performance monitoring"],"limitations":["Mock client does not simulate real network conditions — latency and packet loss are not tested","Testing framework is synchronous — async tool behavior requires special handling","Performance benchmarks are environment-dependent — results vary across machines and load conditions","No built-in integration testing — testing multiple tools in sequence requires custom orchestration"],"requires":["Testing framework (Jest, pytest, or similar)","Tool handler implementations","Test data and expected outputs"],"input_types":["tool definition with parameter schema","test cases (input parameters, expected outputs)","performance targets (latency SLOs, throughput targets)"],"output_types":["test results (pass/fail per test case)","response validation report (schema compliance, content assertions)","performance metrics (latency percentiles, throughput)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_albertlieyingadrian-example-mcp__cap_9","uri":"capability://automation.workflow.deployment.configuration.and.containerization.templates","name":"deployment configuration and containerization templates","description":"Generates Dockerfile, Docker Compose, and Kubernetes manifests for deploying MCP servers in containerized environments. Includes environment variable configuration, health check definitions, and resource limits. Supports multiple deployment patterns (standalone container, sidecar, service mesh integration). Generates CI/CD pipeline templates (GitHub Actions, GitLab CI) for automated testing and deployment.","intents":["I want to containerize my MCP server for cloud deployment without writing Dockerfile from scratch","I need to deploy my MCP server to Kubernetes with proper health checks and resource limits","I want to set up automated testing and deployment pipelines for my MCP server"],"best_for":["teams deploying MCP servers to cloud platforms (AWS, GCP, Azure)","organizations using Kubernetes for container orchestration","developers implementing CI/CD pipelines for MCP servers"],"limitations":["Generated Dockerfile is generic — optimization for specific use cases requires manual tuning","Kubernetes manifests assume standard cluster configuration — custom networking or storage requires manual updates","CI/CD templates are platform-specific — switching platforms requires template regeneration","Health check configuration may not match actual tool behavior — requires validation and tuning"],"requires":["Docker or container runtime","Kubernetes cluster (optional, for Kubernetes deployment)","CI/CD platform (GitHub, GitLab, etc.)","Container registry (Docker Hub, ECR, GCR, etc.)"],"input_types":["MCP server source code","deployment target (Docker, Kubernetes, cloud platform)","resource requirements (CPU, memory, storage)","environment variables and secrets"],"output_types":["Dockerfile with optimized layers","Docker Compose or Kubernetes manifests","CI/CD pipeline configuration","deployment documentation"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+ or Python 3.9+","Basic understanding of async/await patterns","MCP specification knowledge (request/response message format)","JSON Schema understanding","Tool definitions with explicit argument and return type specifications","MCP server instance with handler registration capability","Understanding of the specific technology stack used in examples","Access to example databases, APIs, or services for testing","MCP server source code or configuration","MCP specification version reference"],"failure_modes":["Generated boilerplate is minimal and requires substantial customization for production use","Does not auto-generate tool schemas from existing API definitions","Template assumes single-file or simple module structure; complex multi-service architectures require manual refactoring","Validation is static and does not test actual tool execution or side effects","Does not auto-generate schemas from function signatures; requires manual schema definition","No runtime type coercion — mismatched argument types will fail at invocation time","Examples are simplified — production implementations require additional error handling and edge case handling","Examples assume specific technology stacks (e.g., Node.js with Express, Python with FastAPI) — other stacks require adaptation","Examples do not cover all possible tool types — custom tool patterns require custom implementation","Documentation may lag behind best practices — examples should be validated against current MCP spec","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.49,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:19:37.911Z","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=albertlieyingadrian-example-mcp","compare_url":"https://unfragile.ai/compare?artifact=albertlieyingadrian-example-mcp"}},"signature":"Om6kLIzT5D+KtJJ68V//BVAqTum3W5KGRgL6i/siSonl7BaTbcD34IbsjeHVF9OLd9VbjCKrCbRM7aSn6960Cg==","signedAt":"2026-06-21T02:50:27.092Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/albertlieyingadrian-example-mcp","artifact":"https://unfragile.ai/albertlieyingadrian-example-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=albertlieyingadrian-example-mcp","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"}}