The Google Workspace MCP Server is a comprehensive multi - client protocol server that controls the full suite of Google office applications such as Calendar, Drive, Gmail, and Docs through natural language. It supports one - click installation on the Claude desktop, providing advanced OAuth authentication and service caching.

A document semantic search service based on the Qdrant vector database, supporting URL and local file imports and providing natural language query functions.

An MCP service connecting to Feishu Docs, supporting access to document spaces and lists, and seamless integration with AI clients.

An MCP server for obtaining and searching third - party software package documentation, supporting multi - source scraping, intelligent processing, and hybrid search.

An MCP server that implements Google Docs API integration, supporting operations such as document creation, reading, updating, and management.

A CLI tool that converts Markdown documents into an MCP server, enabling AI assistants to access and search document content.

The FedRAMP Docs MCP Server provides a structured query and analysis tool for the official FedRAMP document library, supporting FRMR dataset indexing, document search, and version comparison functions

Bookworm is a toolset for processing docs.rs documentation, including functions such as downloading, indexing, and querying documentation, and provides an MCP service interface for LLM calls.

An MCP server based on the Google Docs API that supports language models to create, search, append, and update Google documents.

The Feishu Docs MCP Server supports accessing Feishu knowledge bases and cloud documents through the MCP protocol and can be integrated into AI applications.

An MCP server that manages Rust documentation through the cargo doc command

An MCP server tool for obtaining web page content and supporting recursive exploration

An MCP service that provides local Markdown document query services for LLMs

An MCP server that provides documentation query services for Rust code

An MCP server for accessing Rust documentation, supporting document search, type information, feature flags, version numbers, and symbol definition/source code queries from docs.rs.

An MCP server based on TypeScript that implements a Retrieval Augmented Generation (RAG) system for local documents, supporting querying and indexing of Git repositories and text files.

An MCP server that provides tools for interacting with the Dash documentation browser API, supporting functions such as listing docsets, searching for documentation, and enabling full-text search.

Docs MCP Server is a Model Context Protocol server based on the Probe search engine, allowing AI assistants to search for code and document content in local document directories or Git repositories through natural language queries. It supports pre-built content and dynamic configuration and can be easily integrated into MCP clients such as IDEs.

An efficient document search and reference MCP server that supports full - text retrieval, semantic search, and paginated browsing of user - defined documents.

Daipendency's MCP Server is used to extract documentation for local project dependencies.

The Godot Docs MCP server is specifically designed for searching the official documentation of the Godot engine, helping AI agents obtain the latest documentation information

A toolkit focused on efficiently crawling and cleaning dependency documents, suitable for human reading and AI processing.

The Appwrite Docs MCP Server provides intelligent query and retrieval functions for Appwrite's official documentation in IDEs, supporting development tools such as Cursor, VSCode, and Claude Code.

An enhanced MCP server that connects AI assistants such as Claude to Google Docs for document reading, writing, formatting, and structured operations.

An MCP server that provides access to Astro documentation for AI agents, supporting document retrieval and frequently asked questions

A flexible MCP server based on Probe for making documents or codebases searchable by AI assistants.

A document query MCP server based on the Gemini API, providing intelligent Q&A services for technical documents.

An MCP server that converts documentation into LLM-friendly prompts

This project is an implementation of a Model Context Protocol (MCP) server interface for Rust documentation on Docs.rs, which can expose Rust documentation content to MCP - compatible clients (such as the Claude desktop version). Currently, the project has stopped maintenance but is still functional.

A Google Docs server project based on the MCP architecture that uses SSE to achieve real-time document change notifications and supports document management and permission control.

Build a technical documentation sharing platform using the Hexo framework and publish it to Cloudflare Pages, including sharing multiple technical articles.

This is a ChatGPT custom connector project that integrates Google Workspace (including Drive, Docs, Sheets, and Slides) through the Model Context Protocol (MCP), supporting file management and OAuth 2.0 authentication.

The Meeting BaaS API documentation service provides the function of obtaining and managing API documentation from docs.meetingbaas.com, supporting multiple document classification queries and tool calls.

ONLYOFFICE DocSpace MCP Server is a service based on the Model Context Protocol (MCP) for managing the context interaction between large language models (LLMs) and ONLYOFFICE DocSpace. It is configured through environment variables, supports multiple authentication methods, and provides a series of file management tools, such as creating folders, uploading files, and getting folder contents.

Documentation project for the MCP server implemented by Python SDK, providing guides for development environment configuration and methods for client integration

This project implements a Model Context Protocol (MCP) server, which provides a standardized data source access method for LLMs and supports three core capabilities: resources, tools, and prompts.

An MCP server based on TypeScript that retrieves Python documentation through the Brave Search API

An MCP server that integrates with the Google Docs API, supporting functions such as document creation, reading, updating, and management, providing seamless Google document operation capabilities for AI assistants.

Apple Deep Docs MCP is a server that accesses Apple developer resources through the model context protocol, providing in-depth development materials such as Xcode hidden documentation, Swift language proposals, GitHub source code, and WWDC meeting notes.

A lightweight MCP server that retrieves relevant documentation content from popular AI libraries such as LangChain, LlamaIndex, and OpenAI by combining web search and content parsing, providing language models with the function of dynamically querying the latest documentation.