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261,118 tools. Last updated 2026-07-05 10:01

"A search for information about baseball" matching MCP tools:

Matching MCP Servers

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    MCP server for natural language analysis of baseball league data, enabling team statistics, standings, lineup suggestions, and scouting reports via Claude Desktop.
    Last updated
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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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Matching MCP Connectors

  • Live NCAA DI college baseball scores, standings, schedules, rankings, and sabermetrics.

  • Search PubMed and summarize biomedical literature — designed for AI health agents.

  • Retrieve detailed information for a news article using its unique search ID. Get specific article data from Pubrio's global business data layer.
    MIT
  • Retrieve schema and information about a Redis search index, including fields and attributes, to support troubleshooting and optimization.
    MIT
  • Retrieve complete information about a specific tool, including all details about its input schema and purpose.
    MIT
  • Retrieve detailed information about a specific job posting using its search ID. Access job description, requirements, and metadata.
    MIT
  • Retrieve detailed information about a specific signal monitor by its unique ID. Optionally reveal the webhook signature for verification.
    MIT
  • Retrieve diagnostic information about server configuration, search paths, and warnings from the last scan to troubleshoot missing skills or verify setup.
    MIT
  • Find MLB player IDs and career details by entering a player's name. Use this tool to verify identities and obtain database identifiers for subsequent baseball data queries.
    MIT
  • Retrieve detailed information about a specific AI agent session for debugging, performance tracking, and LLM usage analysis.
    MIT
  • Search SciX help documentation to find information on search syntax, features, API usage, and best practices using natural language queries.
    MIT