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521,454 tools. Updated 2026-09-06 11:42

"Firecrawl MCP (Model Context Protocol) Integration" matching MCP tools:

  • Run automated synthetic checks on any remote MCP server to verify reachability, protocol compliance, JSON Schema validity, and exposed credentials, returning a detailed diagnostic report.
    Apache 2.0
  • Retrieve an MCP integration's self-reported metadata, including name, version, protocol, capabilities, and sync status. Use it to verify server details before configuring or troubleshooting connections.
    MIT
  • Search MCP Protocol and FastMCP documentation to find relevant guides for building MCP servers, with ranked results and optional source filtering.
    MIT
  • Retrieve device registry details including integration, manufacturer, model, and connections to identify network protocol and configuration entry for debugging or re-pairing.
    MIT
  • Diagnoses the local MCP bridge state and EasyEDA Pro extension connection, providing protocol compatibility check, active document context, and suggested next steps to resolve issues.
    MIT
  • Find MCP servers in the AllMCPs directory by keyword or category. Enter a search term like 'github' or 'database', optionally filter by category, and get matching server results.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • Firecrawl MCP — wraps the Firecrawl API (firecrawl.dev) for web

  • Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.

  • 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
  • Retrieve usage statistics for MCP servers and tools, including frequency and user filters, to analyze adoption over a specified date range.
    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
  • Retrieve Model Context Protocol documentation on topics like overview, resources, tools, and setup to build MCP servers correctly.
    MIT
  • Scaffold a complete Model Context Protocol (MCP) server including tools, resources, prompts, server.py, pyproject, smoke-test client, and README from a plain-English request.
    MIT
  • Access guidance and support for using the After Effects MCP integration, enabling AI assistants and applications to control Adobe After Effects through a standardized protocol.
    MIT
  • Check per-agent context delivery status to diagnose missing context, showing integration mode, hook status, and last delivered revision.
    MIT
  • Transfer an agent task to another AI model when the executor is blocked or cross-model review is required. Pass the task context to the next model.
    MIT
  • Generate a Symbols.app page with routing, helmet metadata, and fetch integration, returning project structure, patterns, snippets, and library reference for context.
    Creative Commons Attribution Non Commercial 4.0 International