Mcpbook
The Universal Documentation MCP Server is a high - performance MCP server that can transform any documentation website into an AI - accessible knowledge base. It supports multiple platforms such as GitBook, Vercel Documentation, and Next.js sites, and has features such as instant startup, intelligent caching, and automatic domain name detection.
2.5 points
9.6K

What is the Universal Documentation MCP Server?

This is a high-performance MCP (Model Context Protocol) server that can transform any documentation website into an AI-accessible knowledge base. It was initially designed for GitBook but is compatible with multiple documentation platforms such as Vercel Documentation, Next.js sites, and Docusaurus.

How to use the MCP server?

You can quickly start the server using a simple command-line tool or manage it through an intuitive Web UI management interface. The server will automatically detect the structure of the documentation website and build an index, providing search and content retrieval functions.

Use cases

Suitable for scenarios where documentation content needs to be integrated into AI workflows, such as automated question-answering systems, intelligent document search, and technical document analysis. Particularly suitable for API documentation, product help documentation, and technical reference documentation.

Main Features

Instant Startup
Using SQLite storage, the server initialization time is less than one second.
Advanced Search
FTS5 full-text search, supporting fuzzy matching and result sorting.
Intelligent Auto-detection
Automatically detect domain names, keywords, and brand logos.
Perfect Markdown Support
Preserve formatting and support code blocks with syntax highlighting.
Background Updates
Non-blocking change detection and cache refresh.
Universal Support
Compatible with multiple platforms such as GitBook, Vercel Documentation, and Next.js sites.
Dual Interface
Support both MCP tools and REST API endpoints.
Advantages
High performance: SQLite storage and FTS5 search provide fast responses.
Ease of use: Provide two management methods, command-line tools and Web UI.
Intelligent adaptation: Automatically detect the structure and content of the documentation website.
Multifunctional: Support multiple operations such as search, content retrieval, and code block extraction.
Production-ready: Include rate limiting, error handling, and robust caching mechanisms.
Limitations
Only support publicly accessible documentation websites.
Mainly handle static content and do not support interactive elements.
Content updates require manual refresh or waiting for background updates.
Adapting to non-standard document structures may require additional configuration.

How to Use

Clone the repository
First, clone the project repository to your local machine.
Choose the installation method
You can choose to use the Web UI, command-line tools, or manual configuration.
Configure the documentation URL
Set the URL of the target documentation website.
Start the server
Build and start the MCP server.
Use the service
Access the documentation content through MCP tools or REST API.

Usage Examples

API documentation search
Search for specific functions or endpoints in API documentation.
Retrieve the content of a specific page
Retrieve the full content of a specific page in the documentation.
Extract code blocks
Extract all code examples from a specific page in the documentation.
Generate tutorials
Generate tutorials on specific topics based on documentation content.

Frequently Asked Questions

Which documentation platforms does the MCP server support?
How to update the documentation content?
Does it support private documentation?
What is the sorting basis for search results?
How to integrate it into Claude Desktop?

Related Resources

MCP protocol documentation
Official documentation for the Model Context Protocol
GitHub repository
Project source code and latest version
GitBook documentation
Official GitBook documentation
Vercel documentation
Vercel documentation platform

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "gitbook": {
      "command": "node",
      "args": ["/absolute/path/to/dist/index.js"],
      "env": {
        "GITBOOK_URL": "https://docs.yoursite.com"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
16.2K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.0K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.2K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.6K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
55.3K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.0K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase