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⇱ A service for searching public API documentation for Python SDKs | Glama

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A service for searching public API documentation for Python SDKs

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  • Why this server?

    This server is designed for retrieving and processing documentation through vector search, a key aspect of understanding and using SDKs.

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    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
    Last updated
    12
    265
    MIT

  • Why this server?

    This server fetches real-time documentation for popular libraries including Python libraries, allowing AI to access up-to-date library information beyond their knowledge cut-off dates.

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    An MCP server that fetches real-time documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI, allowing LLMs to access updated library information beyond their knowledge cut-off dates.
    Last updated
    1
    2

  • Why this server?

    This server focuses on retrieving documentation snippets from Langchain, LlamaIndex, and OpenAI, which are relevant to python SDKs.

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    An MCP server that enables AI assistants to access up-to-date documentation for Python libraries like LangChain, LlamaIndex, and OpenAI through dynamic fetching from official sources.
    Last updated
    1
    MIT

  • Why this server?

    While primarily focused on JavaScript, this server provides a database of resources which could be adapted for Python SDK documentation.

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    A Model Context Protocol server that provides search and retrieval capabilities for JSer.info's JavaScript resource database, enabling access to items, posts, product information, and timeline data through various specialized tools.
    Last updated
    8
    22
    MIT

  • Why this server?

    This server crawls API documentation websites, and makes the content available to AI models.

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    An MCP server that crawls API documentation websites and exposes their content to AI models, enabling them to search, browse, and reference API specifications.
    Last updated
    1
    MIT

  • Why this server?

    Extracts clean, structured text from documentation web pages, a core task for understanding SDK usage.

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    Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.
    Last updated
    1
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    31
    MIT

  • Why this server?

    Targets a specific domain, but can be useful as a template.

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    MCP server for Synthesizer V AI Vocal Studio, which allows LLMs to create/edit vocal tracks e.g. adding lyrics to the melody.
    Last updated
    6
    11
    Apache 2.0

  • Why this server?

    Provides speech-to-text and summarization capabilities which can be useful to generate docs.

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    A Python-based server that provides access to Whissle API endpoints for speech-to-text, diarization, translation, and text summarization.
    Last updated
    5
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  • Why this server?

    This server provides multithreaded document crawling, local document loading, and searching document details to help developers find SDK documentation.

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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