# Document management

An MCP server for directly operating Google Firestore, providing functions such as document creation, deletion, modification, query, query, and collection listing

An MCP server for searching and accessing Lark documents, supporting functions such as document content retrieval, OAuth authentication, and error handling.

The FHIR MCP Server is a medical data management server based on the FastMCP framework, providing a complete implementation of the Model Context Protocol (MCP) and supporting the interaction between LLM agents and FHIR-compatible backends. It provides standardized interfaces, supports comprehensive CRUD operations on FHIR resources, and implements intelligent document processing and semantic search through a series of tools.

A server implementing the MCP protocol for the interaction between AI assistants and the Outline document service

An MCP service that connects to SharePoint via Microsoft Graph API, providing document search and reading capabilities, and supporting Docker and Bun deployment.

An enhanced Readwise MCP server that integrates Readwise Reader document management and a complete highlighting function, providing intelligent text processing and context - optimized responses, and is compatible with all MCP client tools.

An MCP server built for the Readwise Reader API, providing functions such as document management, tag management, and rich filtering, and supporting integration with Claude Desktop.

Spec Workflow MCP is a tool that guides AI to systematically complete software development through a structured workflow (requirements → design → tasks) to ensure that code implementation is consistent with business requirements.

A Model Context Protocol (MCP) server based on Typesense, providing collection management, document operations, and search functions.

The Docmost MCP server is an MCP service that provides AI assistants with direct access to self-hosted Docmost documents, enabling functions such as listing document spaces, full-text search, and obtaining page content through the API.

The Confluence MCP server is an intermediary service system that communicates with the Confluence API via Personal Access Token. It consists of a main server and a proxy server, solves the problem of accessing in the VPN area, and provides space and page management functions.

A lightweight SharePoint MCP server that provides a standardized interface for document and folder management and supports seamless integration with MCP clients such as Claude.

The MCP application is a service that combines RAG and web search tools, using OpenAI embedding vector storage, PostgreSQL as the database, and PGVector as the vector storage, supporting knowledge retrieval and document addition functions.

Needle MCP Server is a file management and search service based on the Claude desktop application, supporting the management of document collections and intelligent retrieval through natural language instructions.

The AFFiNE MCP server is a middleware based on the Model Context Protocol, providing seamless integration with self - hosted or cloud - based AFFiNE instances, and supporting more than 30 functions such as document, workspace, and user management through a standardized interface.

MCP service tool for Paperless - NGX, providing API interfaces for document management

Hermes Search MCP Server is an open - source service based on the Model Context Protocol, providing full - text and semantic search functions integrated with Azure Cognitive Search, and supporting multiple AI client tools.

An MCP server that enables AI assistants to interact with the Ulysses writing app on macOS through the x - callback - url API, providing functions such as document creation, content management, navigation, and metadata operations.

An Outline API server tool based on the Model Context Protocol (MCP), supporting AI agents to programmatically manage entities such as documents and collections in the Outline knowledge base platform.

Paperless MCP is an open - source modern document management system designed to provide enterprises with an efficient digital document processing solution, including document storage, organization, search, and processing, supporting functions such as OCR, metadata extraction, and automatic classification, while ensuring security and compliance.

This project is an example of a Confluence MCP service built on Spring Boot AI, providing integration with Confluence Cloud, supporting space management, document operations, etc., and can be tested through an MCP client.

An implementation of the Meilisearch MCP server that provides a standardized interface for AI assistants to interact with Meilisearch

MCP-TEAMATE is an AI agent communication server based on SSE, providing an interaction environment similar to a corporate team for AI agents, supporting real-time communication, document management, and multi-agent collaboration.

The Feishu MCP server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing functions.

The WikiJS MCP Server is a tool that connects Claude to the Wiki.js knowledge base, allowing Claude to search, read, update, and create Wiki.js document pages for automated management of the team's knowledge base.

An MCP server for the ESA API, providing various team document management functions

The Specifai MCP Server is a model context protocol server used for integration and automation with AI tools that support the MCP protocol, providing a tool for reading documents generated by the Specifai project.

The PmWiki MCP server is a tool based on the MCP protocol that allows large language models to interact with the PmWiki wiki system through SSE connections, providing functions such as page reading, searching, and listing.

An MCP protocol server implemented for MarkLogic databases, supporting document creation, reading, deletion, and search operations.

The HUDU MCP Server is a model context protocol server integrated with the HUDU technical documentation and customer information management system, allowing large language models to obtain customer account information, knowledge base articles, asset data, etc. through API interaction.