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.

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

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.

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

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 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 service that provides local Markdown document query services for LLMs

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.

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.