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A server to add framework documentation and use a cursor agent to search it

  • Why this server?

    This server provides RAG capabilities for semantic document search using Qdrant, allowing users to add, search, list, and delete documentation with metadata support. This aligns with the user's need to add and search documentation.

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    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
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    4
    TypeScript
    Apache 2.0
  • Why this server?

    This server crawls and indexes Zerops documentation, making it available as a searchable context source for Cursor IDE. This matches the user's need for documentation searching within Cursor.

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    A Managed Context Provider server that crawls and indexes Zerops documentation, making it available as a searchable context source for Cursor IDE.
    TypeScript
  • Why this server?

    This server is 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.

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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.
    2
    37
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    This MCP server enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API, providing capabilities for managing and accessing documentation.

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    A Model Context Protocol server enabling LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API.
    19
    Python
    Apache 2.0
  • Why this server?

    This server manages AI conversation context and personal knowledge bases through the Model Context Protocol (MCP), providing tools for user data, conversation content, and knowledge management. This could be used to store and retrieve documentation.

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    Manages AI conversation context and personal knowledge bases through the Model Context Protocol (MCP), providing tools for user data, conversation content, and knowledge management.
    1
    TypeScript
  • Why this server?

    Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React. This can be considered as kind of documentation.

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    Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React.
    Python
  • Why this server?

    SourceSage efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It could be used to store docuemntation.

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    SourceSage is an MCP (Model Context Protocol) server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.
    Python
    MIT License
  • Why this server?

    This server provides vector database capabilities through Chroma, enabling semantic document search and document management, which supports the requested functionality.

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    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
    17
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    An MCP server that provides tools to load and fetch documentation from any llms.txt source, giving users full control over context retrieval for LLMs in IDE agents and applications.

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    An MCP server that provides tools to load and fetch documentation from any llms.txt source, giving users full control over context retrieval for LLMs in IDE agents and applications.
    177
    Python
    MIT License
    • Apple
  • Why this server?

    An MCP server that enables searching and retrieving content from Confluence documentation systems, providing capabilities for both document searches and full page content retrieval.

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    An MCP server that enables searching and retrieving content from Confluence documentation systems, providing capabilities for both document searches and full page content retrieval.
    Python