162,080 tools. Last updated 2026-05-30 06:49
"PyTorch-related MCP (Model Context Protocol) implementation or server" matching MCP tools:
- Verify server identity and protocol compatibility by retrieving the manifest with protocol version, server name, and available capabilities before interacting with tools.Apache 2.0
- Verify connection and detect version drift for the SLAM Commerce MCP server by introspecting protocol versions, database status, and store metadata.MIT
- Retrieve server details like version, implementation type, and available features for the URL Text Fetcher MCP Server that fetches web content and searches online.MIT
- Find MCP servers by capability or name from a catalog of 9,000+. Use when you need a server for a specific task, such as postgres or video processing.MIT
- Clear authenticated client context from the Signal Found MCP server session to end user access and maintain security.MIT
- Retrieve the authenticated client context for the current Signal Found MCP server session to access user-specific data and permissions.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceA basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.Last updated298MIT
- Alicense-qualityCmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Last updatedApache 2.0
Matching MCP Connectors
Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).
Stop re-explaining yourself to Agents. Give it the right context, right when needed.
- Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.Apache 2.0
- Track and analyze MCP server and tool usage frequency across Cursor and Claude Code sessions to monitor AI coding analytics.MIT
- Search MCP documentation by keywords or phrases to find relevant sections and context for development workflows, server building, and client implementation.MIT
- Generate a complete MCP server implementation from gathered requirements to automate project setup for AI-assisted development in TypeScript or Python.MIT
- Access comprehensive guides and documentation for Model Context Protocol development, covering topics like getting started, building servers/clients, core concepts, and best practices.MIT
- Verify server health by implementing the MCP ping/pong protocol. Ensures MCP Kafka Schema Reg and clients stay connected and responsive.PythonMIT
- Check MCP server health metrics, list capabilities, or retrieve AI priming context for your home.MIT
- Find relevant Model Context Protocol (MCP) documentation by querying stored resources to aid in server creation and project scaffolding.
- Create MCP server templates enriched with documentation context for streamlined project scaffolding. Define project name, description, and output directory to generate structured templates efficiently.
- Generate documentation for MCP servers to help developers understand and implement Model Context Protocol integrations with AI assistants.
- Generate MCP server documentation and configurations to build custom Model Context Protocol servers, integrating AI assistants, tools, and resources.
- Generate documentation for MCP servers to help developers understand and implement the Model Context Protocol with Claude, Cursor, and other AI assistants.
- Fetch self-reported metadata from an external MCP server integration, including name, version, protocol, capabilities, and sync status.MIT
- Checks the Red Hat Insights MCP server version to resolve API or authentication issues.Apache 2.0