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Understanding Perplexity in Machine Learning and Natural Language Processing MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

70,765 tools. Last updated 2026-02-08 11:16
  • Query code repositories using natural language to get detailed answers with code references for understanding and navigating codebases.
    Python
    MIT
  • Search the web and return results in natural language format for specific information needs, using the Exa AI Search API through the MCP server.
    MIT
  • Search the web and retrieve results in natural language format for specific information needs, using the Exa AI Search API through MCP server integration.
    MIT
  • Processes natural language queries to retrieve structured data about leads, contacts, and opportunities from Ambivo MCP Server, enabling efficient data extraction in table, natural, or both formats.
    MIT
  • Find files and code snippets using natural language queries in your project directory with semantic vector search.
    MIT
  • Search the web and return results in natural language format using the Exa AI Search API. Provide a clear objective and optional keyword queries to find specific information.
    MIT

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