{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-mcpproxy","slug":"mcpproxy","name":"MCPProxy","type":"mcp","url":"https://github.com/smart-mcp-proxy/mcpproxy-go","page_url":"https://unfragile.ai/mcpproxy","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-mcpproxy__cap_0","uri":"capability://search.retrieval.bm25.based.intelligent.tool.discovery.across.federated.mcp.servers","name":"bm25-based intelligent tool discovery across federated mcp servers","description":"Implements full-text search indexing using Bleve (Go's BM25 search library) to enable sub-second discovery of tools across all connected upstream MCP servers. Instead of loading all tool schemas into agent context (causing token bloat), MCPProxy maintains an inverted index of tool names, descriptions, and metadata, allowing agents to query 'retrieve_tools' with search terms and receive only relevant results. The system achieves ~99% token reduction while maintaining 43% accuracy improvement over naive schema loading by ranking tools by relevance rather than returning all available tools.","intents":["I want my AI agent to access thousands of tools without exhausting its context window","I need to find the right tool from a large catalog without manually reviewing every schema","I want sub-second tool lookup performance even with hundreds of upstream servers"],"best_for":["AI agent builders integrating multiple MCP servers","Teams managing large tool ecosystems (100+ tools)","Developers optimizing token usage in LLM applications"],"limitations":["BM25 ranking may miss tools with non-obvious naming or descriptions","Index rebuild required when tools are added/removed from upstream servers (eventual consistency)","Search accuracy depends on quality of tool descriptions in upstream servers"],"requires":["Go 1.18+","Bleve library (included in dependencies)","At least one configured upstream MCP server"],"input_types":["search query string","tool metadata (name, description, input schema)"],"output_types":["ranked list of tool schemas","relevance scores"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_1","uri":"capability://tool.use.integration.transparent.mcp.protocol.proxying.with.multi.server.aggregation","name":"transparent mcp protocol proxying with multi-server aggregation","description":"Acts as a transparent gateway between AI agents and multiple upstream MCP servers, routing MCP protocol messages (initialize, call_tool, list_resources, etc.) to appropriate upstream servers based on tool ownership. Uses mark3labs/mcp-go library for protocol handling and implements routing logic in internal/server/mcp_routing.go that maintains connection state, handles message serialization/deserialization, and manages request/response correlation across multiple upstream connections. Supports three routing modes: retrieve_tools (search-based discovery), direct (pass-through to specific server), and code_execution (sandboxed tool invocation).","intents":["I want to connect my AI agent to multiple MCP servers through a single endpoint","I need to route tool calls to the correct upstream server without manual configuration","I want to support different tool execution modes (search, direct, sandboxed) transparently"],"best_for":["AI agent developers using Claude, Cursor IDE, or VS Code","Teams consolidating multiple MCP server deployments","Builders requiring protocol-level transparency without agent modification"],"limitations":["Message routing adds ~50-100ms latency per upstream call due to serialization overhead","No built-in request deduplication across multiple upstream servers","Upstream server failures are not automatically retried (fail-fast behavior)"],"requires":["Go 1.18+","mark3labs/mcp-go library","HTTP/2 or stdio transport for upstream connections","Configured upstream MCP servers with valid endpoints"],"input_types":["MCP protocol messages (JSON-RPC 2.0)","tool call requests with parameters"],"output_types":["MCP protocol responses","tool execution results","error messages with upstream context"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_10","uri":"capability://automation.workflow.system.tray.application.for.macos.windows.linux.with.quick.access","name":"system tray application for macos/windows/linux with quick access","description":"Provides native system tray application (internal/ui/systray/) for quick access to MCPProxy on desktop platforms. Tray app shows proxy status (running/stopped), allows starting/stopping the proxy, and provides quick links to web UI and logs. Implements platform-specific integrations using systray library for native look-and-feel. Supports auto-start on system boot and background operation without terminal window.","intents":["I want to start/stop MCPProxy from system tray without opening terminal","I need quick access to MCPProxy status and logs from desktop","I want MCPProxy to auto-start on system boot"],"best_for":["Individual developers using MCPProxy on personal machines","Teams deploying MCPProxy as desktop application","Users preferring GUI over CLI for proxy management"],"limitations":["System tray app is platform-specific — separate builds for macOS/Windows/Linux","Tray app adds ~50MB to binary size due to UI framework dependencies","Limited functionality compared to web UI — only status and basic controls","Auto-start requires system permissions that may be restricted in enterprise environments"],"requires":["Go 1.18+","macOS 10.12+, Windows 7+, or Linux with systray support","Native UI framework (Cocoa for macOS, Win32 for Windows)"],"input_types":["user clicks on tray icon","menu selections"],"output_types":["proxy status indicator","menu items for actions"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_11","uri":"capability://safety.moderation.docker.based.process.isolation.for.tool.execution.with.resource.limits","name":"docker-based process isolation for tool execution with resource limits","description":"Implements optional per-server Docker containerization (internal/config/config.go lines 94-95) that sandboxes tool execution in isolated containers with configurable resource limits (CPU, memory, disk, network). Each tool execution runs in a fresh container with minimal filesystem access, preventing tools from accessing host system or other containers. Supports container image specification per server, allowing different tools to run in different environments (Python 3.9, Node.js 16, etc.). Includes automatic container cleanup and resource monitoring.","intents":["I want to sandbox untrusted tool execution to prevent system compromise","I need to enforce resource limits (CPU, memory) on tool execution","I want to run tools in different runtime environments (Python, Node.js, etc.)"],"best_for":["Teams executing untrusted or third-party tools","Developers requiring strong isolation between tool executions","Organizations with strict security policies"],"limitations":["Docker isolation adds 500ms-2s startup overhead per tool execution","Requires Docker daemon to be running — adds operational complexity","Resource limits may be too restrictive for compute-intensive tools","Container image management requires separate infrastructure (registry, image updates)"],"requires":["Go 1.18+","Docker daemon running and accessible","Container images specified in server configuration","Sufficient disk space for container layers"],"input_types":["tool execution request","resource limit configuration","container image specification"],"output_types":["tool execution result","resource usage metrics","container logs"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_12","uri":"capability://automation.workflow.multi.edition.deployment.with.personal.desktop.and.server.multi.user.oauth.variants","name":"multi-edition deployment with personal (desktop) and server (multi-user oauth) variants","description":"Supports two deployment editions optimized for different use cases: Personal edition (single-user desktop application with system tray and web UI) and Server edition (multi-user deployment with OAuth2 authentication, session management, and audit logging). Both editions share core MCP proxy logic but differ in authentication, UI, and operational features. Server edition includes multi-user session management (internal/data/session.go) and per-user activity logging for compliance.","intents":["I want to run MCPProxy on my personal machine with minimal setup","I need to deploy MCPProxy in a team environment with user authentication","I want different features and security posture for personal vs. enterprise deployments"],"best_for":["Individual developers (Personal edition)","Enterprise teams requiring multi-user access (Server edition)","Organizations with different deployment models across teams"],"limitations":["Personal edition lacks multi-user features — not suitable for team use","Server edition requires OAuth2 provider setup — adds operational complexity","Session management in Server edition requires persistent storage","Different feature sets between editions may cause confusion during migration"],"requires":["Go 1.18+","Personal edition: macOS/Windows/Linux with system tray support","Server edition: OAuth2 provider (Google, GitHub, Okta), persistent storage (SQLite/PostgreSQL)"],"input_types":["deployment configuration","OAuth2 credentials (Server edition)"],"output_types":["proxy instance with appropriate features","authentication tokens (Server edition)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_13","uri":"capability://automation.workflow.event.driven.architecture.with.pub.sub.system.for.state.changes.and.notifications","name":"event-driven architecture with pub/sub system for state changes and notifications","description":"Implements event-driven architecture (internal/runtime/events/) using publish-subscribe pattern for decoupled communication between components. Events are emitted for state changes (server connected/disconnected, tool added/removed, quarantine status changed) and can be subscribed to by multiple handlers (logging, UI updates, external webhooks). Event system supports filtering by event type and source, enabling selective subscription. Supports both in-process pub/sub and optional external event bus integration (Kafka, RabbitMQ).","intents":["I want to react to state changes (server connections, tool updates) in real-time","I need to notify external systems when tools are added/removed","I want to decouple components so they don't depend on each other directly"],"best_for":["Teams building event-driven architectures on top of MCPProxy","Developers requiring real-time notifications of state changes","Builders integrating MCPProxy with external systems via webhooks"],"limitations":["In-process pub/sub is not persistent — events are lost if proxy restarts","External event bus integration requires separate infrastructure (Kafka, RabbitMQ)","Event ordering is not guaranteed across multiple subscribers","No built-in event replay or history — events are fire-and-forget"],"requires":["Go 1.18+","Optional: external event bus (Kafka, RabbitMQ) for persistence"],"input_types":["state change events","event subscriptions"],"output_types":["event notifications","webhook payloads (optional)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_14","uri":"capability://automation.workflow.diagnostic.and.monitoring.endpoints.with.token.metrics.and.health.checks","name":"diagnostic and monitoring endpoints with token metrics and health checks","description":"Exposes diagnostic endpoints (/health, /metrics, /diagnostics) providing system health status, token usage metrics, and detailed diagnostics information. Health checks verify connectivity to upstream servers, database availability, and Docker daemon status. Token metrics track LLM token usage across tool calls, enabling cost analysis and optimization. Diagnostics endpoint provides detailed system information (Go version, memory usage, goroutine count) useful for troubleshooting.","intents":["I want to monitor MCPProxy health and detect issues before they impact agents","I need to track token usage across tool executions for cost optimization","I want detailed diagnostics information for troubleshooting"],"best_for":["DevOps teams monitoring MCPProxy in production","Developers optimizing token usage in LLM applications","Teams troubleshooting MCPProxy issues"],"limitations":["Health checks add ~100-500ms latency depending on upstream server responsiveness","Token metrics require integration with LLM provider APIs — not all providers supported","Diagnostics endpoint exposes sensitive information (memory usage, goroutine count) — requires authentication","No built-in alerting — requires external monitoring system (Prometheus, Datadog)"],"requires":["Go 1.18+","HTTP client for health checks","Optional: Prometheus for metrics scraping"],"input_types":["health check requests","metrics queries"],"output_types":["health status (healthy/degraded/unhealthy)","token usage metrics","diagnostic information"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_2","uri":"capability://safety.moderation.automatic.quarantine.system.for.malicious.tool.detection.and.isolation","name":"automatic quarantine system for malicious tool detection and isolation","description":"Implements a security-first approach where newly connected upstream MCP servers are automatically quarantined until manually approved by an administrator. The quarantine system (internal/server/mcp.go line 46) prevents Tool Poisoning Attacks (TPAs) by preventing tool execution from untrusted servers while still allowing inspection and testing. Works in conjunction with sensitive data detection to identify tools that request credentials, API keys, or other sensitive information, flagging them for review. Uses Docker isolation (optional per-server containerization with resource limits) to sandbox tool execution from quarantined servers.","intents":["I want to prevent malicious tools from executing before I've reviewed them","I need to detect tools that are requesting sensitive credentials or data","I want to sandbox untrusted tool execution to prevent system compromise"],"best_for":["Enterprise teams deploying MCPProxy in multi-user environments","Security-conscious developers integrating third-party MCP servers","Organizations with compliance requirements (SOC2, ISO27001)"],"limitations":["Quarantine requires manual approval workflow — no automatic trust scoring","Docker isolation adds ~500ms-2s startup overhead per tool execution","Sensitive data detection uses pattern matching and may have false positives/negatives","No built-in revocation mechanism for previously approved servers"],"requires":["Go 1.18+","Docker daemon (optional, for containerized isolation)","Administrator access to approve/reject quarantined servers","Activity logging infrastructure for audit trails"],"input_types":["upstream MCP server configuration","tool schemas and execution requests","sensitive data patterns (regex/keyword lists)"],"output_types":["quarantine status (pending/approved/rejected)","sensitive data detection alerts","audit logs with approval history"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_3","uri":"capability://tool.use.integration.multi.transport.mcp.connectivity.with.http.and.stdio.support","name":"multi-transport mcp connectivity with http and stdio support","description":"Supports both HTTP/2 and stdio-based transports for connecting to upstream MCP servers, implemented in the transport layer (internal/server/transport.go). HTTP transport uses persistent connections with connection pooling for efficient multi-server communication, while stdio transport spawns subprocess instances for each server connection. The transport abstraction layer (internal/contracts/types.go) allows seamless switching between transports without affecting routing logic. Handles transport-level concerns like connection lifecycle management, graceful shutdown, and error recovery.","intents":["I want to connect to MCP servers via HTTP endpoints without modifying my agent","I need to run MCP servers as local subprocesses and communicate via stdio","I want to mix HTTP and stdio transports in the same proxy configuration"],"best_for":["Developers integrating both cloud-hosted and local MCP servers","Teams using stdio-based MCP servers (e.g., custom Python/Node.js implementations)","Builders requiring flexible transport abstraction for different deployment models"],"limitations":["Stdio transport spawns new process per connection — not suitable for high-frequency tool calls","HTTP transport requires upstream servers to implement proper connection pooling","No automatic transport failover (HTTP → stdio) if primary transport fails","Stdio subprocess management adds ~100-200ms overhead per tool execution"],"requires":["Go 1.18+","HTTP/2 support in upstream servers (for HTTP transport)","Executable binaries available locally (for stdio transport)","Proper environment variable setup for stdio subprocess spawning"],"input_types":["transport configuration (type, endpoint/command, credentials)","MCP protocol messages"],"output_types":["transport connection status","MCP protocol responses","transport-level error messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_4","uri":"capability://automation.workflow.upstream.server.connection.management.with.state.reconciliation","name":"upstream server connection management with state reconciliation","description":"Manages lifecycle of connections to upstream MCP servers with automatic state reconciliation (internal/runtime/supervisor/supervisor.go). Implements actor-pool pattern for concurrent connection handling, monitoring server health, detecting disconnections, and automatically reconnecting with exponential backoff. Maintains server registry (internal/data/registry.go) tracking all connected servers, their capabilities, and tool inventories. State reconciliation ensures that tool index remains consistent with upstream server state even when servers are added/removed dynamically or experience transient failures.","intents":["I want MCPProxy to automatically reconnect to upstream servers if they go down","I need to dynamically add/remove upstream servers without restarting the proxy","I want visibility into which upstream servers are currently connected and healthy"],"best_for":["Teams running MCPProxy in production with multiple upstream servers","Developers requiring high availability and automatic failover","Builders managing dynamic server inventories (servers added/removed at runtime)"],"limitations":["State reconciliation uses eventual consistency model — brief window where index may be stale","Exponential backoff for reconnection means failed servers may take minutes to reconnect","No built-in load balancing across multiple instances of the same server","Server registry is in-memory only — lost on restart without persistence layer"],"requires":["Go 1.18+","Supervisor/actor-pool runtime (included)","Configured upstream servers with stable endpoints","Optional: persistent storage for server registry (SQLite, PostgreSQL)"],"input_types":["upstream server configuration","connection status events","tool inventory updates"],"output_types":["server health status","connection state changes","reconciliation events"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_5","uri":"capability://tool.use.integration.tool.execution.with.variant.support.and.intent.based.routing","name":"tool execution with variant support and intent-based routing","description":"Implements tool execution engine (internal/server/mcp.go) that supports tool variants — multiple implementations of the same logical tool with different execution strategies (e.g., 'read_file' via local filesystem vs. S3 vs. HTTP). Routes tool calls based on intent metadata embedded in tool schemas, allowing agents to request specific variants without knowing implementation details. Handles parameter validation, type coercion, and error handling for tool execution. Supports code_execution routing mode for sandboxed Python/JavaScript execution with resource limits.","intents":["I want to offer multiple implementations of the same tool (local vs. cloud storage)","I need to route tool calls based on intent metadata without agent awareness","I want to execute untrusted code (Python/JavaScript) safely with resource limits"],"best_for":["Teams providing multiple implementations of common operations","Builders requiring flexible tool routing based on execution context","Developers executing user-provided code safely"],"limitations":["Tool variant selection requires explicit intent metadata in schemas","Code execution sandbox adds ~1-3s overhead per execution","Resource limits (CPU, memory, timeout) may be too restrictive for long-running operations","No built-in caching of tool execution results"],"requires":["Go 1.18+","Tool schemas with variant and intent metadata","Docker (for code_execution mode)","Python 3.8+ or Node.js 14+ (for code execution)"],"input_types":["tool call request with parameters","intent metadata","code (for code_execution mode)"],"output_types":["tool execution result","error messages with context","execution metrics (duration, resource usage)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_6","uri":"capability://automation.workflow.configuration.management.with.secret.handling.and.environment.variable.substitution","name":"configuration management with secret handling and environment variable substitution","description":"Implements configuration system (internal/config/config.go, internal/config/loader.go) supporting YAML/JSON configuration files with environment variable substitution and secret management. Secrets (API keys, credentials) are stored separately from configuration and injected at runtime using a secrets provider interface. Configuration loading supports multiple sources (files, environment variables, command-line flags) with precedence rules. Validates configuration schema at load time and provides detailed error messages for misconfigurations.","intents":["I want to configure MCPProxy without hardcoding secrets in config files","I need to support multiple configuration sources with clear precedence","I want validation of configuration at startup to catch errors early"],"best_for":["DevOps teams deploying MCPProxy in containerized environments","Developers managing multiple deployment configurations (dev/staging/prod)","Teams requiring secure secret management without external vaults"],"limitations":["Secrets provider interface requires custom implementation for external vaults (Vault, AWS Secrets Manager)","Configuration changes require restart — no hot-reload support","No built-in encryption for secrets at rest","Environment variable substitution uses simple string replacement — no complex templating"],"requires":["Go 1.18+","YAML or JSON configuration file","Environment variables for secrets (or custom secrets provider)"],"input_types":["YAML/JSON configuration file","environment variables","command-line flags"],"output_types":["parsed configuration object","validation errors","secret values (injected at runtime)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_7","uri":"capability://safety.moderation.activity.logging.with.sensitive.data.detection.and.audit.trails","name":"activity logging with sensitive data detection and audit trails","description":"Implements comprehensive activity logging system (internal/config/config.go lines 121-125) that records all tool calls, results, and errors with full audit trails. Includes sensitive data detection that identifies and masks credentials, API keys, PII, and other sensitive information in logs before storage. Supports multiple log backends (file, syslog, structured JSON) and log levels (debug, info, warn, error). Integrates with session management to correlate logs with user/agent sessions.","intents":["I want to audit all tool executions for compliance and debugging","I need to prevent sensitive data (API keys, credentials) from being logged","I want structured logs that can be parsed and analyzed by log aggregation tools"],"best_for":["Enterprise teams with compliance requirements (SOC2, HIPAA, PCI-DSS)","Security teams investigating suspicious tool usage","Developers debugging tool execution issues"],"limitations":["Sensitive data detection uses pattern matching — may miss novel credential formats","Logging adds ~10-50ms overhead per tool execution depending on log backend","Log storage is not encrypted by default — requires external encryption","No built-in log retention policies — requires external log rotation"],"requires":["Go 1.18+","Writable filesystem or syslog endpoint","Optional: log aggregation service (ELK, Datadog, CloudWatch)"],"input_types":["tool execution events","tool results","error messages"],"output_types":["structured log entries (JSON)","masked sensitive data","audit trail with timestamps and session IDs"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_8","uri":"capability://tool.use.integration.http.api.server.with.rest.endpoints.for.tool.management.and.proxy.control","name":"http api server with rest endpoints for tool management and proxy control","description":"Exposes HTTP API (internal/httpapi/server.go) providing REST endpoints for managing MCPProxy configuration, querying tool inventory, executing tools, and monitoring system health. Implements standard HTTP conventions (GET for queries, POST for mutations, DELETE for removal) with JSON request/response bodies. Includes authentication middleware supporting API key authentication and optional OAuth2 for multi-user deployments. API endpoints are versioned (/api/v1/) to support backward compatibility.","intents":["I want to query available tools and their schemas via REST API","I need to execute tools programmatically without using MCP protocol","I want to manage MCPProxy configuration (add/remove servers) via API"],"best_for":["Developers building custom UI/dashboards for MCPProxy","Teams integrating MCPProxy with other systems via REST","Builders requiring programmatic tool execution without MCP client"],"limitations":["REST API adds abstraction layer over MCP protocol — some protocol features may not be exposed","API authentication requires separate implementation from MCP authentication","No built-in rate limiting — requires external API gateway for production","Streaming responses not supported — large tool results may cause memory issues"],"requires":["Go 1.18+","HTTP client library (curl, requests, fetch)","API key or OAuth2 credentials for authentication"],"input_types":["HTTP requests (GET, POST, DELETE)","JSON request bodies","query parameters"],"output_types":["JSON responses","HTTP status codes","error messages with details"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-mcpproxy__cap_9","uri":"capability://automation.workflow.web.frontend.ui.for.tool.discovery.execution.and.server.management","name":"web frontend ui for tool discovery, execution, and server management","description":"Provides web-based user interface (internal/ui/web/) for interactive tool discovery, execution, and MCPProxy management. Frontend is built with modern JavaScript framework (React/Vue) and communicates with HTTP API server. Includes tool search interface with real-time filtering, tool execution form builder that generates input fields based on tool schemas, and server management dashboard showing connection status and health metrics. Supports dark mode and responsive design for mobile access.","intents":["I want to search and execute tools through a web interface without using CLI","I need visibility into connected servers and their health status","I want to test tools interactively before integrating them into agents"],"best_for":["Non-technical users exploring available tools","Developers testing tool execution before integration","Teams managing MCPProxy deployments with visual dashboards"],"limitations":["Web UI requires HTTP API server — adds dependency on REST layer","No support for long-running tool executions (UI timeout after ~30s)","Form builder may not handle complex nested schemas correctly","No built-in authentication UI — requires external auth provider integration"],"requires":["Modern web browser (Chrome, Firefox, Safari, Edge)","HTTP API server running on accessible endpoint","JavaScript enabled"],"input_types":["search queries","tool parameters via form inputs","server management actions"],"output_types":["tool search results with descriptions","tool execution results","server status dashboard"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"high","permissions":["Go 1.18+","Bleve library (included in dependencies)","At least one configured upstream MCP server","mark3labs/mcp-go library","HTTP/2 or stdio transport for upstream connections","Configured upstream MCP servers with valid endpoints","macOS 10.12+, Windows 7+, or Linux with systray support","Native UI framework (Cocoa for macOS, Win32 for Windows)","Docker daemon running and accessible","Container images specified in server configuration"],"failure_modes":["BM25 ranking may miss tools with non-obvious naming or descriptions","Index rebuild required when tools are added/removed from upstream servers (eventual consistency)","Search accuracy depends on quality of tool descriptions in upstream servers","Message routing adds ~50-100ms latency per upstream call due to serialization overhead","No built-in request deduplication across multiple upstream servers","Upstream server failures are not automatically retried (fail-fast behavior)","System tray app is platform-specific — separate builds for macOS/Windows/Linux","Tray app adds ~50MB to binary size due to UI framework dependencies","Limited functionality compared to web UI — only status and basic controls","Auto-start requires system permissions that may be restricted in enterprise environments","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.5,"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":"2026-06-17T09:51:03.578Z","last_scraped_at":"2026-05-03T14:00:18.053Z","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=mcpproxy","compare_url":"https://unfragile.ai/compare?artifact=mcpproxy"}},"signature":"ZTvN2FVsTqapnXoQx11hFaBOQmh3N/VEHXF4Ohn+WYQe18x3mM16W4YQIT3qBjqwq6VkcofEjmHs5WlideXmDg==","signedAt":"2026-06-20T22:17:32.277Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcpproxy","artifact":"https://unfragile.ai/mcpproxy","verify":"https://unfragile.ai/api/v1/verify?slug=mcpproxy","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"}}