The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants

The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

pg-aiguide is an AI-optimized PostgreSQL knowledge base that provides semantic search for official documentation, best practice skills, and extended ecosystem documentation for AI programming assistants, helping to generate higher-quality PostgreSQL code.

Apple Doc MCP is a model context protocol server that provides direct access to Apple developer documentation. It is integrated into the AI programming assistant, supporting intelligent search, framework browsing, and detailed documentation retrieval.

The AWS MCP Server is a lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), providing functions for querying AWS CLI documentation and executing commands.

Office-Word-MCP-Server is a server based on the Model Context Protocol that provides a standard interface for AI assistants to create, read, and operate Microsoft Word documents, supporting rich document editing functions.

The MCP service of Suppr Super Literature provides document translation and Chinese semantic search for PubMed literature functions, supports multiple file formats and language mutual translation, and can be integrated into AI assistants such as Claude for use.

A Word document operation server based on the MCP protocol, providing AI assistants with the ability to create, edit, and manage Microsoft Word documents.

An MCP service for document retrieval based on vector search, providing relevant document context for AI assistants to enhance their answering ability

llmctx is a tool for converting technical documentation into an AI-ready format. It provides preset URLs for quick access to LLM-optimized documentation of popular frameworks and libraries, helping developers obtain accurate and up-to-date context information when using AI programming assistants.

The MCP Document Converter is a multi-format document conversion tool based on the MCP protocol, supporting bidirectional conversion between five formats: Markdown, HTML, DOCX, PDF, and text, providing powerful document processing capabilities for AI assistants.

LegalContext is an open - source MCP server that securely connects the Clio document management system with the Claude AI assistant, enabling local legal document processing and retrieval.

An offline documentation MCP server for Garmin Connect IQ SDK, providing complete access to version 8.2.3 documentation for AI assistants, including API documentation, programming guides, device references, and troubleshooting resources.

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 EigenLayer MCP service based on Next.js that provides documentation support for AI assistants and can run locally or be deployed on Vercel

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

A toolkit for scraping Safaricom Daraja API documentation and providing MCP server integration, including an automated documentation scraper and AI assistant integration service

A tool designed for FIRST Robotics Competition teams, which can search multiple official document libraries such as WPILib, REV, and CTRE simultaneously, quickly obtain answers to programming and hardware configuration through natural language questions, and support VS Code integration and AI assistant optimization.

This project implements an MCP server as a bridge between AI assistants and the Outline document service, providing functions such as document search, management, creation, and editing.