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260,400 tools. Last updated 2026-07-05 06:01

"Popular MCP (Model Context Protocol) Servers" matching MCP tools:

  • Compare wspr-mcp service version and wspr.live schema revision across servers to detect configuration drift without leaving the MCP protocol.
    GPL 3.0
  • Search MCP Protocol and FastMCP documentation to find relevant guides for building MCP servers, with ranked results and optional source filtering.
    MIT
  • Retrieves statistics of the MCP catalog including total server count and top languages. Use to answer questions about MCP server numbers or language popularity.
    MIT
  • Get a daily summary of the official MCP server registry: total servers, status breakdown, top namespaces, and 1-day deltas (newly added, reactivated, deprecated). Track ecosystem growth and detect deprecated servers in use.
    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

Matching MCP Servers

Matching MCP Connectors

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

  • 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).

  • Discover MCP servers matching your integration needs. Input any capability like database access or API management to get ranked results.
    MIT
  • Verify the health of all configured MCP servers simultaneously. Returns a report with status and tools count, and can auto-heal unhealthy servers.
    MIT
  • Benchmark response latency for all configured MCP servers to identify performance issues.
    MIT
  • Scan your project's codebase to detect technologies in use, compare with existing MCP servers, and receive recommendations for missing servers from the registry.
    MIT
  • 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
  • Check health, latency, and reliability of MCP servers. Filter by server name to target specific servers or check all.
    AGPL 3.0
  • Retrieve usage statistics for MCP servers and tools, including frequency and user filters, to analyze adoption over a specified date range.
    MIT