Search MCP Protocol and FastMCP documentation to find relevant guides for building MCP servers, with ranked results and optional source filtering.
MIT
170,100 tools. Last updated 2026-06-04 00:14
"Official MCP (Model Context Protocol) Resources Only" matching MCP tools:
- Download attachments from a Jira issue and retrieve them as base64-encoded resources for use over the MCP protocol.GPL 3.0
- 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
- List all registered MCP resources with names, URI templates, and descriptions.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
Matching MCP Servers
- Alicense-qualityCmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Last updatedApache 2.0
- Alicense-qualityCmaintenanceA basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.Last updated294MIT
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.
- Upload images to Google Drive from shared blob storage resources, enabling cross-server file transfers without data duplication through MCP protocol.
- Find relevant Model Context Protocol (MCP) documentation by querying stored resources to aid in server creation and project scaffolding.
- Generate MCP server documentation and configurations to build custom Model Context Protocol servers, integrating AI assistants, tools, and resources.
- Find keyword mentions in AI model outputs from ChatGPT and Google AI. Returns mention context and sources.MIT
- Execute multi-step AI workflows with reduced context usage by keeping intermediate results in the workflow engine, supporting multiple model calls and tool integrations.MIT
- Retrieve official PyPI metadata and package-declared project URLs (docs, homepage, source) by querying the PyPI JSON API.MIT
- Re-deploy bundled FCoP protocol rules to Cursor, AGENTS.md, and CLAUDE.md locations after upgrading fcop-mcp package. Ensures all agent hosts use the same rules.MIT
- Retrieve the currently active project in ZenML to establish the default organizational context for managing pipelines, stacks, and resources.MIT
- Removes a wiki from MCP resources and clears its cached credentials and license metadata. Cannot remove the default wiki.MIT
- Get the complete status of your Contentrain project, including configuration, models, and context. This read-only tool provides a snapshot for inspection.MIT
- Analyze PCAP files to extract protocol hierarchy, endpoint statistics, packet counts, and capture information for network forensics and security testing.MIT
- Mount MCP server tools at runtime without restarting. Filter tools to mount only those needed, and unmount to kill process. Supports multiple registries.MIT
- Automatically close the browser and release all resources to optimize system performance after completing browser automation tasks using the MCP server.MIT
- Initialize Next.js DevTools MCP context to mandate documentation-first development. Resets AI knowledge and ensures all queries use official Next.js docs.MIT