{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm-mcp-use","slug":"mcp-use","name":"mcp-use","type":"mcp","url":"https://github.com/mcp-use/mcp-use#readme","page_url":"https://unfragile.ai/mcp-use","categories":["mcp-servers"],"tags":["MCP","mcp-use","Model Context Protocol","ChatGPT Apps","Code Mode","OAuth","Notifications","Sampling","SDK","mcp-ui","mcp-inspector","ai","utility","typescript"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm-mcp-use__cap_0","uri":"capability://tool.use.integration.mcp.server.scaffolding.and.initialization","name":"mcp server scaffolding and initialization","description":"Provides opinionated TypeScript boilerplate and initialization patterns for building MCP servers compatible with the @modelcontextprotocol/sdk. 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Uses a declarative sampling configuration to expose only relevant capabilities to the client, reducing token usage and improving agent decision-making by limiting the tool namespace.","intents":["I want to expose different tools to different users based on their permissions or role","I need to reduce the number of tools visible to an agent to improve its decision-making and reduce token usage","I want to conditionally enable/disable tools based on runtime state (e.g., disable write operations during maintenance)"],"best_for":["multi-tenant MCP servers where different users should see different tool sets","agents with large tool registries (50+ tools) where context-aware filtering improves performance","teams implementing fine-grained access control in MCP servers"],"limitations":["Sampling logic is evaluated per-request — high-cardinality filtering rules may add 10-50ms latency","No built-in caching of sampling results — repeated requests with identical context will re-evaluate filters","Sampling is server-side only — client cannot request specific tools if they're filtered out by sampling rules"],"requires":["mcp-use framework with sampling module","context object containing user identity, permissions, or state","declarative sampling configuration (JSON or TypeScript)"],"input_types":["request context (user, permissions, state)","tool/resource metadata","sampling rules (predicates)"],"output_types":["filtered tool list","filtered resource list","sampling decision metadata"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-use__cap_4","uri":"capability://automation.workflow.notification.and.event.streaming.from.mcp.servers","name":"notification and event streaming from mcp servers","description":"Provides a notification system that allows MCP servers to push events and updates to connected clients in real-time using server-sent events (SSE) or WebSocket. Implements a publish-subscribe pattern where servers can emit notifications tied to specific resources or events, and clients can subscribe to receive updates without polling.","intents":["I want my MCP server to notify clients when a resource changes without the client having to poll","I need to stream long-running operation progress (e.g., file processing, data sync) back to the client","I want to implement real-time collaboration features where multiple clients see updates from a shared MCP server"],"best_for":["MCP servers exposing real-time data (stock prices, sensor readings, collaboration state)","agents that need to react to server-side events without explicit polling","ChatGPT Apps requiring live updates from backend MCP servers"],"limitations":["Notifications are fire-and-forget — no built-in delivery guarantees or message queuing if client is temporarily disconnected","SSE transport is unidirectional (server-to-client only) — requires a separate channel for client-to-server commands","Notification ordering is not guaranteed across multiple server instances in a distributed setup without external coordination"],"requires":["mcp-use framework with notifications module","client supporting SSE or WebSocket (all modern browsers, Node.js)","MCP server running with notification handlers"],"input_types":["event type and payload","resource identifier for subscription","notification metadata (priority, timestamp)"],"output_types":["server-sent event stream","notification payload","subscription confirmation"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-use__cap_5","uri":"capability://automation.workflow.observability.and.request.tracing","name":"observability and request tracing","description":"Provides built-in instrumentation for tracing MCP requests end-to-end, including tool execution time, resource access patterns, and error tracking. Integrates with standard observability backends (OpenTelemetry, Datadog, New Relic) and emits structured logs with request context, execution duration, and outcome metadata.","intents":["I want to understand which tools are being called most frequently and how long they take to execute","I need to debug why a specific MCP request failed by tracing its execution path through the server","I want to monitor MCP server performance in production and alert on slow tool execution"],"best_for":["teams running MCP servers in production and needing performance visibility","developers debugging complex agent behavior involving multiple MCP servers","organizations with existing observability infrastructure (DataDog, New Relic, Prometheus)"],"limitations":["Instrumentation overhead adds 5-15ms per request due to span creation and serialization","Requires external observability backend configuration — no built-in local tracing storage","Trace sampling is not configurable per-request — uses global sampling rate which may miss rare failure modes"],"requires":["mcp-use framework with observability module","OpenTelemetry SDK or compatible observability library","observability backend (Datadog, New Relic, Jaeger, or self-hosted)","Node.js 16+"],"input_types":["MCP request (tool call, resource access)","observability configuration (backend, sampling rate)","custom span attributes"],"output_types":["structured trace spans","execution duration metrics","error and exception logs","request context metadata"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-use__cap_6","uri":"capability://tool.use.integration.chatgpt.apps.and.code.mode.integration","name":"chatgpt apps and code mode integration","description":"Provides first-class support for deploying MCP servers as ChatGPT Apps and Code Mode integrations, handling the specific authentication, capability declaration, and response formatting requirements of OpenAI's platforms. Automatically generates OpenAI-compatible action schemas and manages the ChatGPT-specific protocol handshake.","intents":["I want to expose my MCP server as a ChatGPT App without manually converting tool definitions to OpenAI's action schema format","I need to deploy an MCP server that works seamlessly with ChatGPT Code Mode for real-time code execution","I want to handle ChatGPT-specific authentication (OAuth, API keys) transparently"],"best_for":["developers building ChatGPT Apps that wrap existing MCP servers","teams integrating with OpenAI's ecosystem and wanting to reuse MCP infrastructure","non-technical users deploying MCP servers via ChatGPT without writing custom adapters"],"limitations":["ChatGPT Apps have a 30-second timeout per action — long-running tools must implement polling or async patterns","OpenAI's action schema is less expressive than MCP's resource model — some MCP features (streaming, subscriptions) don't map cleanly to ChatGPT","Requires ChatGPT Plus or Team subscription — cannot test with free tier accounts"],"requires":["mcp-use framework with ChatGPT integration module","OpenAI API key or ChatGPT Plus account","MCP server deployed and accessible via HTTPS","Node.js 16+"],"input_types":["MCP tool definitions","MCP resource definitions","OpenAI action schema (optional, auto-generated)"],"output_types":["OpenAI-compatible action schema","ChatGPT App manifest","Code Mode integration configuration"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-use__cap_7","uri":"capability://code.generation.editing.type.safe.tool.and.resource.definition.with.schema.validation","name":"type-safe tool and resource definition with schema validation","description":"Provides TypeScript-first tool and resource definition APIs that enforce schema validation at compile-time and runtime. Uses JSON Schema internally with TypeScript generics to ensure tool parameters and resource content match declared types, preventing runtime type mismatches and enabling IDE autocomplete for tool parameters.","intents":["I want TypeScript to catch tool parameter type mismatches at compile time, not at runtime","I need to validate that incoming tool parameters match the declared schema before executing the tool","I want IDE autocomplete when calling tools so I don't have to remember parameter names and types"],"best_for":["TypeScript teams building MCP servers and clients with strict type safety requirements","developers migrating from untyped tool-calling systems and wanting to prevent parameter errors","teams using IDEs with strong TypeScript support (VS Code, WebStorm)"],"limitations":["TypeScript-only — JavaScript users lose compile-time validation and must rely on runtime checks","Schema generation from TypeScript types is not perfect — complex union types or recursive types may require manual schema adjustments","Runtime validation adds 2-5ms per tool call due to schema checking overhead"],"requires":["TypeScript 4.7+","mcp-use framework","TypeScript compiler in the build pipeline"],"input_types":["TypeScript type definitions","JSON Schema (optional, auto-generated from types)"],"output_types":["type-safe tool registry","validated tool parameters","type-safe resource content"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-use__cap_8","uri":"capability://automation.workflow.mcp.server.composition.and.middleware.pipeline","name":"mcp server composition and middleware pipeline","description":"Enables composing multiple MCP servers into a single logical server using a middleware pipeline pattern. Allows intercepting and transforming requests/responses, implementing cross-cutting concerns (logging, rate limiting, caching) without modifying individual tool handlers, and delegating tool calls to downstream servers.","intents":["I want to add rate limiting to all tools in my MCP server without modifying each tool handler","I need to cache tool results to avoid redundant API calls to downstream services","I want to compose multiple MCP servers into a single agent-facing server with unified authentication"],"best_for":["teams building complex MCP architectures with multiple backend services","developers implementing cross-cutting concerns (logging, rate limiting, caching) across many tools","organizations consolidating multiple MCP servers into a single agent-facing endpoint"],"limitations":["Middleware pipeline adds latency proportional to the number of middleware layers — deep pipelines (5+ layers) may add 50-100ms per request","Middleware execution order is critical and can be error-prone — misconfiguration can cause requests to be dropped or duplicated","No built-in middleware for common concerns — teams must implement their own rate limiting, caching, and retry logic"],"requires":["mcp-use framework with composition/middleware module","TypeScript 4.7+","understanding of middleware patterns and request/response lifecycle"],"input_types":["MCP server instances","middleware functions","request/response objects"],"output_types":["composed MCP server","transformed requests/responses","middleware execution results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-use__cap_9","uri":"capability://data.processing.analysis.resource.streaming.and.progressive.content.delivery","name":"resource streaming and progressive content delivery","description":"Supports streaming large resource content progressively to clients using chunked transfer encoding or server-sent events, avoiding memory exhaustion and enabling real-time content delivery. Implements backpressure handling to prevent overwhelming slow clients and supports resumable transfers for interrupted connections.","intents":["I want to serve large files or datasets through MCP without loading them entirely into memory","I need to stream real-time data (logs, sensor readings) to clients as it becomes available","I want to resume interrupted resource transfers without re-sending already-received data"],"best_for":["MCP servers exposing large files or datasets (gigabytes of logs, video files, database exports)","real-time data streaming applications (monitoring dashboards, live analytics)","agents processing large documents or datasets incrementally"],"limitations":["Streaming adds complexity to error handling — partial transfers may leave clients with incomplete data","Backpressure handling requires client cooperation — clients must respect flow control signals or risk buffer overflow","Resume capability requires server-side state tracking (byte offsets) — stateless servers cannot support resumable transfers"],"requires":["mcp-use framework with streaming module","client supporting chunked transfer encoding or SSE","Node.js 16+ with stream support"],"input_types":["large resource content (file, stream, generator)","chunk size configuration","backpressure signals from client"],"output_types":["chunked resource content","progress metadata","resumable transfer state"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":48,"verified":false,"data_access_risk":"high","permissions":["TypeScript 4.7+","Node.js 16+","@modelcontextprotocol/sdk package","npm or yarn package manager","Node.js 16+ or browser environment with WebSocket support","MCP server running and accessible via stdio, SSE, or WebSocket","TypeScript 4.7+ for type safety (JavaScript also supported)","mcp-use framework with validation module","JSON Schema definitions for tools and resources","TypeScript 4.7+ (optional, for type-safe validation)"],"failure_modes":["TypeScript-only — no Python, Go, or Rust SDKs provided","Opinionated patterns may require refactoring if your server architecture deviates significantly from the framework's assumptions","Requires understanding of MCP protocol concepts (resources, tools, sampling) — not a zero-knowledge abstraction","Transport abstraction adds ~50-100ms latency per request due to serialization and deserialization overhead","No built-in connection pooling — each client instance maintains a single connection; horizontal scaling requires external load balancing","Reconnection logic uses exponential backoff with fixed ceiling — may not suit scenarios requiring sub-second recovery","Validation overhead adds 2-10ms per request depending on schema complexity","Error messages may leak implementation details if not carefully sanitized — requires custom error transformation for security","Validation is schema-based only — cannot implement custom business logic validation without extending the framework","Hot reload may lose in-memory state — tools relying on session state need to handle reload gracefully","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.5886355660923649,"quality":0.5,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.52,"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":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.472Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":43868,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-use","compare_url":"https://unfragile.ai/compare?artifact=mcp-use"}},"signature":"P+buVtlLWGa12ZoKqslC77GtE+K0mgPzz8Vk/PIXIMDNb9h9AjXXheHOoZ2mz3YQauDK5jT2hhnvuefivyNFDA==","signedAt":"2026-06-22T01:30:18.756Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-use","artifact":"https://unfragile.ai/mcp-use","verify":"https://unfragile.ai/api/v1/verify?slug=mcp-use","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"}}