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ToolHive maintains a registry of available servers and their capabilities, enabling dynamic service discovery and capability-based routing without hardcoded server addresses or capability lists.","intents":["Discover all available MCP servers in a deployment without manual configuration","Query what capabilities each MCP server provides","Route requests to appropriate servers based on required capabilities","Generate documentation of available MCP services and their capabilities"],"best_for":["Large deployments with many MCP servers","Dynamic environments where servers are added/removed frequently","Teams building MCP client applications that need to discover available services"],"limitations":["Discovery is passive — requires servers to be running and responding to discovery queries","No built-in caching of capability information — each discovery query hits the server","Capability introspection is read-only — cannot modify server capabilities at runtime","No support for capability versioning or deprecation tracking"],"requires":["Running MCP servers with discovery endpoints exposed","Network connectivity to all MCP servers","MCP protocol v1.x support in servers"],"input_types":["Server addresses or service discovery mechanism","Capability query filters"],"output_types":["List of available servers","Capability manifests per server","Capability-to-server mapping"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-toolhive__cap_6","uri":"capability://automation.workflow.deployment.manifest.generation.and.templating","name":"deployment manifest generation and templating","description":"Generates deployment manifests (Docker Compose, Kubernetes YAML, or custom formats) from MCP server configurations with support for templating and environment-specific overrides. 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ToolHive watches source files, detects changes, and restarts servers with minimal latency, providing immediate feedback during development while maintaining the same containerized environment as production.","intents":["Develop MCP servers with instant feedback on code changes","Test MCP server changes without rebuilding Docker images","Debug MCP servers with local development tools and debuggers","Iterate quickly on server implementation without deployment overhead"],"best_for":["Individual developers building MCP servers","Teams in active development phase","Rapid prototyping and experimentation"],"limitations":["Hot-reload only works for interpreted languages (Python, Node.js) — compiled languages require full rebuild","File watching has latency (typically 100-500ms) — not suitable for real-time applications","Local development environment may differ from production containers — environment parity issues possible","No built-in debugging integration — requires manual debugger configuration"],"requires":["Source code in interpreted language (Python, Node.js, etc.)","File system watching capability (inotify on Linux, FSEvents on macOS)","Docker daemon for containerized development"],"input_types":["Source code directory","File patterns to watch for changes"],"output_types":["Running MCP server instance","Reload logs and status"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-toolhive__cap_8","uri":"capability://automation.workflow.logging.and.monitoring.aggregation","name":"logging and monitoring aggregation","description":"Aggregates logs from multiple MCP server containers into a unified stream with structured logging support, filtering, and search capabilities. ToolHive collects stdout/stderr from containers, parses structured logs (JSON, key-value), and provides real-time log streaming and historical log access for debugging and monitoring.","intents":["View logs from all MCP servers in one place","Search logs across multiple servers for debugging","Filter logs by server, log level, or timestamp","Stream logs in real-time during development or troubleshooting"],"best_for":["Multi-server deployments requiring centralized logging","Debugging complex interactions between MCP servers","Production monitoring and incident response"],"limitations":["Logs are stored locally — no built-in persistence or archival to external systems","No log rotation or size limits — disk space can fill up with verbose logging","Search is basic string matching — no advanced query language or indexing","No integration with external logging platforms (ELK, Datadog, etc.)"],"requires":["Docker daemon with log driver support","Sufficient disk space for log storage","Network access to running containers"],"input_types":["Container stdout/stderr","Structured log formats (JSON, key-value)"],"output_types":["Aggregated log stream","Filtered log results","Log search results"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Docker 20.10+","MCP server implementation (Python, Node.js, or other supported runtime)","Container registry access (Docker Hub, private registry, or local daemon)","MCP server configuration file (YAML or JSON format)","MCP protocol specification reference","Access to MCP server schema definitions","Docker daemon","Configuration file defining server dependencies","Network connectivity between server containers","Secret source (environment variables, files, or vault service)"],"failure_modes":["Requires Docker daemon running on host system — cannot deploy to environments without container runtime support","Container overhead adds ~500ms-2s startup latency per server instance vs native processes","Limited to container-compatible operating systems (Linux, macOS with Docker Desktop, Windows with WSL2)","No built-in orchestration for Kubernetes — requires manual K8s manifest generation","Validation is schema-based only — cannot detect logical errors in configuration values","Does not validate runtime behavior or server health — only static configuration correctness","Limited to MCP protocol v1.x specification — may not support experimental or custom extensions","No built-in configuration templating — requires external tools for environment-specific overrides","No distributed consensus — single-point-of-failure for orchestration logic if running on single host","Health checks are basic (container running status) — no deep protocol-level health verification","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.050Z","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=toolhive","compare_url":"https://unfragile.ai/compare?artifact=toolhive"}},"signature":"GOQcjjq+ejfRTTNWXMJo0J+Cdv75mMxduZfrornrlUPFeMEsrsBEYiPOkFCYsDfVmQwT/wnKYLE8AWTDtiQ7Bg==","signedAt":"2026-06-22T03:51:16.320Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/toolhive","artifact":"https://unfragile.ai/toolhive","verify":"https://unfragile.ai/api/v1/verify?slug=toolhive","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"}}