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⇱ Making API documentation usable for LLMs | Glama

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Making API documentation usable for LLMs

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  • Why this server?

    This server converts HTTP APIs into MCP tools, using a simple interface to configure the MCP server, which is helpful for making APIs usable for LLMs.

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    HTTP-4-MCP configuration tool allows you to easily convert HTTP API into MCP tool, writing the code written. Through simple interface operation, you can quickly configure an mcp-server.
    Last updated
    16
    Mulan Permissive Software , Version 2

  • Why this server?

    This server provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption. It's based on the MCP protocol, which is ideal for making APIs usable for LLMs.

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    A modular dynamic API server based on the MCP protocol that provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption.
    Last updated
    2,825
    1
    MIT

  • Why this server?

    Enables integration with Vapi APIs through function calling via the Model Context Protocol, allowing AI models to access Vapi's capabilities and make it usable for LLMs.

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    Enables integration with Vapi APIs through function calling via the Model Context Protocol, allowing AI models to access Vapi's capabilities.
    Last updated
    15
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    53
    MIT

  • Why this server?

    A documentation server designed for various development frameworks that provides document crawling, local document loading, keyword searching, and document detail retrieval.

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    A documentation server based on MCP protocol designed for various development frameworks that provides multi-threaded document crawling, local document loading, keyword searching, and document detail retrieval.
    Last updated
    3
    48
    MIT

  • Why this server?

    A Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.

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    A Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.
    Last updated
    148
    MIT

  • Why this server?

    An MCP server that enables dynamic tool registration and execution based on API definitions, providing seamless integration with services like Claude.ai and Cursor.ai.

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    An MCP server that enables dynamic tool registration and execution based on API definitions, providing seamless integration with services like Claude.ai and Cursor.ai.
    Last updated
    13
    MIT

  • Why this server?

    Automates the creation of standardized documentation by extracting information from source files and applying templates.

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    Automates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI.
    Last updated
    3
    3

  • Why this server?

    A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.

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    A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.
    Last updated
    1
    17
    89
    MIT

  • Why this server?

    An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.

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    An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.
    Last updated