{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-plugged-in","slug":"plugged-in","name":"Plugged.in","type":"mcp","url":"https://github.com/VeriTeknik/pluggedin-mcp-proxy","page_url":"https://unfragile.ai/plugged-in","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-plugged-in__cap_0","uri":"capability://tool.use.integration.multi.server.mcp.aggregation.with.unified.interface","name":"multi-server mcp aggregation with unified interface","description":"Acts as a centralized proxy that aggregates multiple downstream MCP servers into a single MCP interface, routing client requests to appropriate servers based on tool/resource ownership. Uses a request routing decision tree that determines whether to handle requests internally (built-in tools) or forward to downstream servers, with automatic server discovery via the plugged.in Registry v2 API and bidirectional notification synchronization across all connected servers.","intents":["I want to connect Claude Desktop to multiple MCP servers without managing separate connections","I need a single entry point that exposes tools from 5+ different MCP servers","I want to avoid duplicating tool definitions across multiple client configurations"],"best_for":["teams managing multiple MCP servers across different domains (code, data, integrations)","MCP server developers building complex tool ecosystems","organizations deploying MCP infrastructure with centralized governance"],"limitations":["Adds request routing latency (~50-100ms per hop depending on downstream server response time)","Requires all downstream servers to be MCP-compliant; no legacy protocol adapters","Single proxy instance becomes bottleneck for high-concurrency scenarios (recommend load balancing for >100 concurrent clients)","Tool name collisions across servers require manual namespace resolution or server prioritization configuration"],"requires":["Node.js 18+","Multiple MCP servers running and accessible (via stdio or HTTP)","plugged.in Registry API credentials for server discovery (optional but recommended)","Network connectivity between proxy and all downstream servers"],"input_types":["MCP protocol messages (CallTool, GetResource, GetPrompt)","Server configuration (JSON with server endpoints and credentials)","OAuth tokens for plugged.in ecosystem integration"],"output_types":["Aggregated MCP protocol responses","Unified tool/resource/prompt listings","Activity logs and notifications"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_1","uri":"capability://tool.use.integration.dual.transport.protocol.bridging.stdio.and.http","name":"dual-transport protocol bridging (stdio and http)","description":"Supports both STDIO and HTTP transport modes simultaneously, allowing the same proxy instance to serve desktop clients (Claude, Cline) via process-based stdio streams and remote/web clients via HTTP on port 12006. Uses session-based HTTP management for stateful connections and process-based streaming for stdio, with automatic transport negotiation based on client connection type.","intents":["I want to use the same MCP proxy for both local Claude Desktop and remote web-based clients","I need to deploy MCP servers that work with both desktop and cloud-based AI tools","I want to avoid running separate proxy instances for different transport protocols"],"best_for":["hybrid deployments mixing desktop and web-based MCP clients","organizations standardizing on a single proxy for all MCP transport needs","developers building MCP integrations that need to support multiple client types"],"limitations":["HTTP transport adds ~200-300ms latency vs stdio due to serialization/deserialization overhead","Session management for HTTP requires stateful server (no horizontal scaling without session store)","STDIO mode limited to single process per proxy instance; HTTP mode can handle multiple concurrent sessions","Port 12006 must be available and accessible; requires firewall configuration for remote HTTP access"],"requires":["Node.js 18+","Port 12006 available for HTTP transport (configurable via environment)","For stdio: process spawning capability and shell access","For HTTP: network connectivity and optional TLS certificates for production"],"input_types":["STDIO: binary MCP protocol streams","HTTP: JSON-encoded MCP messages with session tokens"],"output_types":["STDIO: binary MCP protocol responses","HTTP: JSON-encoded MCP responses with session metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_10","uri":"capability://automation.workflow.server.health.monitoring.and.connection.resilience","name":"server health monitoring and connection resilience","description":"Monitors the health and availability of connected downstream MCP servers, detecting disconnections and server failures. Implements automatic reconnection logic with exponential backoff, maintains server status metadata (online/offline), and excludes unavailable servers from tool discovery and request routing. Provides health check endpoints for monitoring proxy and downstream server status without requiring manual intervention.","intents":["I want to know if a downstream MCP server is offline before attempting to route requests to it","I need automatic reconnection when a server comes back online","I want to monitor the health of all connected servers in real-time"],"best_for":["production deployments requiring high availability","teams managing many downstream servers with varying reliability","organizations needing visibility into MCP infrastructure health"],"limitations":["Health checks add ~50-100ms overhead per check interval","Exponential backoff can delay reconnection to temporarily unavailable servers","No predictive failure detection; only reactive to actual disconnections","Health check frequency is fixed; no per-server configuration","No alerting mechanism; health status must be polled or integrated with external monitoring"],"requires":["Downstream servers to respond to health check requests","Network connectivity to downstream servers"],"input_types":["Server connection status","Health check responses"],"output_types":["Server status metadata (online/offline)","Health check results","Reconnection events"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_11","uri":"capability://tool.use.integration.resource.and.prompt.aggregation.across.servers","name":"resource and prompt aggregation across servers","description":"Discovers and aggregates resources and prompts from all connected downstream MCP servers, exposing them through unified GetResource and GetPrompt handlers. Maintains a registry of available resources and prompts with server attribution, similar to tool discovery. Routes resource and prompt requests to the correct server based on ownership metadata, with proper error handling for resources/prompts not found.","intents":["I want to access resources and prompts from multiple servers through a single interface","I need to know which server provides a specific resource or prompt","I want automatic discovery of available resources and prompts across all servers"],"best_for":["MCP deployments using resources and prompts extensively","teams building complex MCP applications with shared resources","organizations managing prompt libraries across multiple servers"],"limitations":["Resource and prompt discovery latency depends on downstream server response time","No caching of resource content; each GetResource request fetches from downstream server","Resource name collisions across servers require manual resolution","No versioning support for resources or prompts","Large resources may cause memory issues if not streamed properly"],"requires":["Downstream servers to implement ListResources, ListPrompts, GetResource handlers","Network connectivity to downstream servers"],"input_types":["MCP ListResources, ListPrompts, GetResource requests","Resource/prompt names and URIs"],"output_types":["Aggregated resource and prompt listings","Resource content","Prompt definitions"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_2","uri":"capability://tool.use.integration.automatic.tool.discovery.and.aggregation.system","name":"automatic tool discovery and aggregation system","description":"Discovers and catalogs all tools, resources, and prompts from connected downstream MCP servers, exposing them through a unified discovery interface. Implements a tool registry that tracks tool ownership, metadata, and availability across servers, with real-time synchronization when servers connect/disconnect. Distinguishes between built-in proxy tools (discovery, management) and downstream server tools, preventing namespace collisions through server-prefixed tool naming when needed.","intents":["I want to see all available tools across all connected MCP servers in one place","I need to know which server provides which tool without manual documentation","I want automatic tool availability updates when servers come online or go offline"],"best_for":["MCP server developers debugging tool availability across complex deployments","teams building MCP-based AI agent systems that need dynamic tool discovery","organizations managing large tool ecosystems with frequent server changes"],"limitations":["Discovery latency depends on downstream server response time; no caching of tool metadata (tools re-discovered on each client connection)","Tool name collisions across servers require manual resolution or automatic prefixing (reduces tool discoverability)","No versioning support for tools; assumes single version per tool name across all servers","Discovery does not include tool parameter validation or schema compatibility checking"],"requires":["All downstream MCP servers must implement ListTools, ListResources, ListPrompts handlers","Network connectivity to all downstream servers","MCP protocol compliance from all servers"],"input_types":["MCP ListTools, ListResources, ListPrompts requests","Server connection/disconnection events"],"output_types":["Aggregated tool listings with server attribution","Tool metadata (name, description, input schema)","Resource and prompt catalogs"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_3","uri":"capability://tool.use.integration.plugged.in.ecosystem.integration.with.oauth.and.activity.tracking","name":"plugged.in ecosystem integration with oauth and activity tracking","description":"Integrates deeply with the plugged.in App ecosystem through Registry v2 API, providing automatic OAuth token management, real-time activity/usage tracking, and bidirectional notifications. Automatically retrieves and refreshes OAuth tokens via /api/oauth/tokens, tracks tool usage via /api/activity endpoint, and synchronizes notifications across the proxy and plugged.in platform. Enables server discovery through plugged.in Registry without manual configuration.","intents":["I want to track which tools are being used most frequently across all my MCP servers","I need automatic OAuth token refresh without managing credentials manually","I want to receive notifications about MCP activity in the plugged.in dashboard"],"best_for":["organizations using plugged.in platform for MCP server management","teams needing centralized activity monitoring and analytics across MCP deployments","developers building OAuth-integrated MCP applications"],"limitations":["Requires plugged.in account and API credentials; adds external dependency","Activity tracking introduces ~50-100ms overhead per tool call for API logging","OAuth token refresh failures will block tool execution until tokens are refreshed","Bidirectional notifications require persistent connection to plugged.in API; network interruptions cause notification loss","Activity data retention and analytics features depend on plugged.in platform availability"],"requires":["plugged.in account with API credentials","PLUGGED_IN_API_KEY and PLUGGED_IN_API_URL environment variables","Network connectivity to plugged.in API endpoints","OAuth credentials for downstream servers (if using OAuth-protected servers)"],"input_types":["OAuth token requests","Tool execution events","Notification payloads from plugged.in"],"output_types":["Activity logs and analytics","Refreshed OAuth tokens","Notification events"],"categories":["tool-use-integration","automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_4","uri":"capability://tool.use.integration.built.in.mcp.server.tools.and.management.commands","name":"built-in mcp server tools and management commands","description":"Provides a set of built-in tools that operate on the proxy itself (distinct from downstream server tools), including server discovery, tool listing, configuration management, and debugging utilities. These tools are handled internally by the proxy without forwarding to downstream servers, enabling meta-operations like listing all connected servers, checking server health, and managing proxy configuration through the MCP interface itself.","intents":["I want to list all connected MCP servers and their status through the MCP interface","I need to debug which server is providing a specific tool","I want to manage proxy configuration and server connections without SSH/CLI access"],"best_for":["MCP server developers and operators managing complex proxy deployments","teams using MCP clients (Claude, Cline) as primary interface for proxy management","organizations needing self-service MCP server management without CLI access"],"limitations":["Built-in tools are limited to read-only operations and basic configuration; no full proxy restart capability","Tool names may conflict with downstream server tools; built-in tools take precedence","Management operations are not audited or access-controlled; any MCP client can execute them","No role-based access control for built-in tools"],"requires":["MCP client connection to proxy","No additional credentials for built-in tools"],"input_types":["MCP CallTool requests for built-in tool names"],"output_types":["Server listings with metadata","Tool availability information","Configuration status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_5","uri":"capability://tool.use.integration.request.routing.and.resolution.with.downstream.forwarding","name":"request routing and resolution with downstream forwarding","description":"Implements a sophisticated request routing decision tree that determines whether to handle MCP requests internally (built-in tools) or forward them to appropriate downstream servers based on tool/resource/prompt ownership. Routes CallTool, GetResource, and GetPrompt requests to the correct server, with fallback handling for tools not found and automatic error propagation. Maintains request context and metadata throughout the routing process for logging and debugging.","intents":["I want tool requests to automatically route to the correct downstream server","I need proper error handling when a tool is not found across any server","I want to debug which server handled a specific tool request"],"best_for":["MCP proxy operators needing reliable request routing across many servers","teams building MCP-based systems requiring transparent server abstraction","developers debugging tool routing issues in complex deployments"],"limitations":["Routing adds ~50-100ms latency per request due to server lookup and forwarding","No request caching; identical requests to same tool are re-routed each time","Tool name collisions across servers require manual resolution (first-match or server priority configuration)","Request context is not preserved across server boundaries; each server sees only its own request","No circuit breaker or timeout handling for slow/unresponsive downstream servers"],"requires":["Tool discovery to have completed (tool registry populated)","Network connectivity to downstream servers","Downstream servers to be responsive within timeout window"],"input_types":["MCP CallTool, GetResource, GetPrompt requests","Tool/resource/prompt names"],"output_types":["Forwarded requests to downstream servers","Aggregated responses from downstream servers","Error responses for tools not found"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_6","uri":"capability://automation.workflow.activity.logging.and.notifications.with.real.time.synchronization","name":"activity logging and notifications with real-time synchronization","description":"Logs all MCP activity (tool calls, resource access, prompt usage) with timestamps and server attribution, sending real-time notifications to the plugged.in platform via /api/notifications endpoint. Implements bidirectional notification synchronization, allowing the proxy to receive notifications from plugged.in and forward them to connected clients. Maintains activity history for audit trails and analytics without persistent storage (requires external state store for long-term retention).","intents":["I want to see a real-time log of all tool usage across all MCP servers","I need to receive notifications about MCP activity in the plugged.in dashboard","I want to audit which tools were called and when for compliance purposes"],"best_for":["organizations requiring audit trails for MCP tool usage","teams monitoring MCP activity in real-time through plugged.in dashboard","compliance-focused deployments needing activity logging"],"limitations":["Activity logs are in-memory only; lost on proxy restart unless persisted externally","Notification delivery is best-effort; no guaranteed delivery if plugged.in API is unavailable","Activity logging adds ~50-100ms overhead per tool call","No built-in filtering or sampling; all activity is logged (can be verbose)","Bidirectional notifications require persistent connection; network interruptions cause notification loss"],"requires":["plugged.in API connectivity for notification delivery","External state store (database, file system) for persistent activity logs (optional but recommended)","Sufficient memory for in-memory activity buffer"],"input_types":["Tool execution events","Resource access events","Prompt usage events","Notifications from plugged.in"],"output_types":["Activity log entries with metadata","Notifications to plugged.in platform","Forwarded notifications to MCP clients"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_7","uri":"capability://tool.use.integration.mcp.inspector.and.interactive.debugging.playground","name":"mcp inspector and interactive debugging playground","description":"Provides an interactive debugging interface (MCP Inspector) for testing MCP requests, inspecting server responses, and validating tool schemas without deploying to production. Allows developers to simulate tool calls, view request/response payloads, and debug routing issues in real-time. Integrated into the proxy for immediate feedback during MCP server development and integration testing.","intents":["I want to test a tool call before deploying it to production","I need to inspect the exact request/response payloads for debugging","I want to validate that my MCP server is responding correctly to the proxy"],"best_for":["MCP server developers building and testing new servers","teams debugging integration issues between proxy and downstream servers","QA engineers validating MCP tool behavior before production deployment"],"limitations":["Inspector is local-only; cannot debug remote proxy instances without port forwarding","No persistent test case storage; test scenarios are not saved between sessions","Inspector does not simulate concurrent requests; single-threaded testing only","No performance profiling; cannot measure tool execution time or identify bottlenecks"],"requires":["Access to proxy instance (local or remote with port forwarding)","Web browser for interactive interface","Knowledge of MCP protocol and tool schemas"],"input_types":["Tool names and parameters","Resource paths","Prompt names"],"output_types":["Tool execution results","Request/response payloads in JSON","Error messages and stack traces"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_8","uri":"capability://automation.workflow.environment.based.configuration.and.deployment.flexibility","name":"environment-based configuration and deployment flexibility","description":"Supports multiple deployment modes (NPM, Docker, Smithery) with environment variable-based configuration, allowing the same codebase to be deployed across different environments without code changes. Reads configuration from environment variables for server endpoints, API credentials, transport modes, and ecosystem integration settings. Enables rapid deployment through Docker containers or Smithery package manager with minimal configuration overhead.","intents":["I want to deploy the proxy to different environments (dev, staging, prod) with different configurations","I need to containerize the proxy for Kubernetes deployment","I want to use the Smithery package manager to install and configure the proxy"],"best_for":["DevOps teams deploying MCP proxies across multiple environments","organizations using containerized infrastructure (Docker, Kubernetes)","teams using Smithery for MCP server package management"],"limitations":["Environment variable configuration can become unwieldy with many servers (no config file support mentioned)","Docker deployment requires Docker runtime; no native Windows support without WSL","Smithery deployment depends on Smithery platform availability","No built-in secrets management; credentials must be provided via environment variables (security risk if not properly managed)"],"requires":["For NPM: Node.js 18+, npm","For Docker: Docker runtime","For Smithery: Smithery CLI and account","Environment variables for configuration (server endpoints, API keys, etc.)"],"input_types":["Environment variables","Docker image configuration","Smithery package manifest"],"output_types":["Running proxy instance","Docker container","Smithery-managed service"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-plugged-in__cap_9","uri":"capability://tool.use.integration.client.connection.management.with.session.handling","name":"client connection management with session handling","description":"Manages multiple concurrent MCP client connections (Claude Desktop, Cline, Cursor) with session-based state management for HTTP transport and process-based streaming for stdio. Handles client connection lifecycle (connect, disconnect, timeout), maintains per-client context for request routing, and implements session persistence for HTTP clients. Supports multiple simultaneous clients without cross-contamination of request context or session state.","intents":["I want multiple MCP clients to connect to the same proxy simultaneously","I need session state to be maintained across multiple requests from the same client","I want proper cleanup when a client disconnects"],"best_for":["organizations with multiple teams using different MCP clients (Claude, Cline, Cursor)","deployments requiring high client concurrency","teams needing session persistence across client reconnections"],"limitations":["Session state is in-memory only; lost on proxy restart","HTTP session management requires sticky sessions or external session store for load balancing","No built-in client authentication; all clients have equal access to all tools","Session timeout is fixed; no per-client timeout configuration","Concurrent client limit depends on system resources; no built-in rate limiting"],"requires":["Network connectivity from clients to proxy","For HTTP: session cookie support in client","For stdio: process spawning capability"],"input_types":["Client connection requests","MCP protocol messages","Session tokens (HTTP)"],"output_types":["Session identifiers","MCP protocol responses","Connection status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+","Multiple MCP servers running and accessible (via stdio or HTTP)","plugged.in Registry API credentials for server discovery (optional but recommended)","Network connectivity between proxy and all downstream servers","Port 12006 available for HTTP transport (configurable via environment)","For stdio: process spawning capability and shell access","For HTTP: network connectivity and optional TLS certificates for production","Downstream servers to respond to health check requests","Network connectivity to downstream servers","Downstream servers to implement ListResources, ListPrompts, GetResource handlers"],"failure_modes":["Adds request routing latency (~50-100ms per hop depending on downstream server response time)","Requires all downstream servers to be MCP-compliant; no legacy protocol adapters","Single proxy instance becomes bottleneck for high-concurrency scenarios (recommend load balancing for >100 concurrent clients)","Tool name collisions across servers require manual namespace resolution or server prioritization configuration","HTTP transport adds ~200-300ms latency vs stdio due to serialization/deserialization overhead","Session management for HTTP requires stateful server (no horizontal scaling without session store)","STDIO mode limited to single process per proxy instance; HTTP mode can handle multiple concurrent sessions","Port 12006 must be available and accessible; requires firewall configuration for remote HTTP access","Health checks add ~50-100ms overhead per check interval","Exponential backoff can delay reconnection to temporarily unavailable servers","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.49,"ecosystem":0.39999999999999997,"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":"2026-06-17T09:51:04.047Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=plugged-in","compare_url":"https://unfragile.ai/compare?artifact=plugged-in"}},"signature":"byksN3tMvo81fqIAWsvLK3VO092uzmdB41fz28IsmUD+rHS7MOshs5Gqd1OEGx9gAakR8ORDX4+Q2OFPwzW4Dg==","signedAt":"2026-06-20T01:48:56.998Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/plugged-in","artifact":"https://unfragile.ai/plugged-in","verify":"https://unfragile.ai/api/v1/verify?slug=plugged-in","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"}}