My Docs MCP Server
M

My Docs MCP Server

A full-text retrieval server for Markdown documents based on the MCP protocol, supporting Japanese chunk retrieval and file content access
2 points
8.7K

What is my-docs-mcp-server?

This is an MCP protocol server specifically designed for Markdown documents. It can automatically index all .md files in the specified directory and provide full-text search and document access services through the MCP protocol. It is specially optimized for the Chinese search experience.

How to use my-docs-mcp-server?

Simply put Markdown documents into the specified directory. After starting the server, you can search and read through an MCP client (such as Claude Desktop).

Use cases

Suitable for scenarios that require quick access to Markdown content, such as personal knowledge base management, team document sharing, and technical document retrieval.

Main features

Full-text search
Supports full-text search of Markdown content, including titles and body text
Chinese word segmentation
Uses the wakachigaki library to implement semantic search with Chinese word segmentation
Document retrieval
Retrieve the original Markdown document directly via the MCP protocol
Advantages
Lightweight and efficient, enabling fast retrieval based on MiniSearch
Natively supports Chinese semantic search
Easy to use, no complex configuration required
Limitations
Only supports Markdown format documents
Index needs to be manually rebuilt (restart the service after modifying documents)

How to use

Install dependencies
Ensure that the Node.js environment is installed, then install project dependencies
Prepare documents
Create a docs directory and put the Markdown files to be indexed into it
Start the server
Start the service in development or production mode

Usage examples

Technical document retrieval
Quickly locate relevant content in a large technical document library
Knowledge base lookup
Directly retrieve the content of a specific document

Frequently Asked Questions

How to update the search index?
Which clients are supported?
How is the Chinese search performance?

Related resources

MCP protocol documentation
Official documentation for the Model Context Protocol
MCP Inspector tool
A GUI tool for testing MCP servers
wakachigaki word segmentation library
The Chinese word segmentation library used in this project

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "docs-search": {
      "command": "node",
      "args": [
        "/path/to/docs-search/build/index.js",
        "/path/to/your-project/docs"
      ]
    }
  }
}
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
7.7K
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
4.3K
4.5 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
5.6K
4.5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
9.1K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
16.4K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
17.9K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.9K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
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
20.2K
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
24.2K
4.3 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
35.0K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
71.5K
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#
31.0K
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
65.1K
4.5 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
21.0K
4.5 points
C
Context7
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.
TypeScript
97.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase