Search for:

A server for reading files to provide context for writing large documents

  • Why this server?

    Provides a way to store document constraints or formatting rules that could then be used by the writing agent.

    -
    security
    A
    license
    -
    quality
    An easy-to-use bridge that lets AI assistants like Claude and Cursor IDE directly query and explore Microsoft SQL Server databases. No coding experience required!
    8
    JavaScript
    GPL 3.0
    • Apple
  • Why this server?

    Enables integration with Google Drive, allowing for listing, reading, and searching over files. This can facilitate using documents stored in Google Drive as context.

    -
    security
    A
    license
    -
    quality
    Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
    1,327
    9
    JavaScript
    MIT License
  • Why this server?

    Enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API, allowing for incorporating existing documents and constraints into the writing process.

    -
    security
    A
    license
    -
    quality
    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?

    Provides RAG capabilities for semantic document search using Qdrant, allowing users to add, search, list, and delete documentation with metadata support.

    -
    security
    A
    license
    -
    quality
    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.
    5
    4
    TypeScript
    Apache 2.0
  • Why this server?

    Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.

    -
    security
    F
    license
    -
    quality
    Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.
    3
    Python
  • Why this server?

    Provides access to organizational Sharepoint documents through the Microsoft Graph API, enabling search and retrieval of Sharepoint content for AI assistants.

    A
    security
    F
    license
    A
    quality
    Provides access to organizational Sharepoint documents through the Microsoft Graph API, enabling search and retrieval of Sharepoint content for AI assistants.
    1
    11
    4
    TypeScript
  • Why this server?

    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities. Can be adapted for other kinds of files.

    -
    security
    A
    license
    -
    quality
    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
    5
    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

    A
    security
    A
    license
    A
    quality
    An MCP server implementation that integrates with SiYuan Note system, enabling AI models to access and manipulate note data through comprehensive commands for notebook management, document operations, and content manipulation.
    3
    104
    1
    TypeScript
    ISC License
    • Linux
    • Apple
  • Why this server?

    Allows storing data and constraints inside a json db and accessing that data.

    A
    security
    F
    license
    A
    quality
    A Model Context Protocol server that allows creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.
    9
    2
    JavaScript
    • Apple