MCP Docs Server
Provides direct access to local documentation files through a context.md file in the project root.
MCP Docs Server
A lightweight Model Context Protocol (MCP) server that provides direct access to local documentation files - a simple alternative to complex RAG pipelines for project-specific context.
Overview
This MCP server reads a single markdown file (context.md) and exposes its contents through two simple tools:
get_context_overview(): Lists all section titlessearch_context(query): Searches content across all sections
Perfect for giving LLMs access to project documentation without the overhead of vector databases or embedding models.
Features
- Zero dependencies beyond the MCP Python SDK
- Lightning fast - direct file access, no vector search
- Simple setup - works with both GUI and CLI MCP clients
- Cross-platform - includes shell wrapper for macOS/Linux compatibility
- Robust error handling - comprehensive logging and debugging support
Installation
Prerequisites
- Python 3.11+
- MCP client (Claude Desktop, cline, etc.)
Setup
- Clone this repository:
git clone https://github.com/unlock-mcp/mcp-docs-server.git
cd mcp-docs-server
- Install dependencies:
pip install -r requirements.txt
- Create your documentation file:
# Create a context.md file in the project root with your documentation
echo "# My Project Docs\n\nThis is my documentation." > context.md
Client Configuration
For Claude Desktop (GUI clients)
Use the shell wrapper for reliable execution:
- Make the wrapper executable:
chmod +x run_context_server.sh
- Install the server:
mcp install ./run_context_server.sh --name "docs-server"
For cline and CLI clients
Add to your MCP configuration file:
{
"mcpServers": {
"docs-server": {
"timeout": 60,
"type": "stdio",
"command": "/opt/homebrew/bin/python3.11",
"args": [
"/path/to/mcp-docs-server/mcp_context_server.py"
],
"env": {}
}
}
}
Note: Update the Python path to match your system (which python3.11)
Development
Testing
Use the MCP development tools for easy testing:
mcp dev ./run_context_server.sh
This launches a web-based inspector for testing your server.
Debugging
The server logs to stderr for debugging. Check your MCP client's logs if you encounter issues.
Common issues:
- ENOENT errors: Use the shell wrapper or specify full Python path
- Import errors: Ensure
mcp[cli]>=1.2.0is installed - File not found: Verify
context.mdexists in the project root
File Structure
mcp-docs-server/
├── mcp_context_server.py # Main server implementation
├── run_context_server.sh # Shell wrapper for GUI clients
├── requirements.txt # Python dependencies
├── context.md # Your documentation (create this)
└── README.md # This file
Usage
Once configured, you can use these tools in your MCP client:
- Get overview: "What sections are available in the docs?"
- Search content: "Search for authentication in the docs"
- Specific queries: "How do I configure the database?"
Tutorial
For a complete walkthrough of building this server from scratch, including common pitfalls and solutions, see the full tutorial: Ditching RAG: Building a Local MCP Server for Your Docs
Contributing
Contributions welcome! Please feel free to submit issues and pull requests.
License
MIT License - see LICENSE file for details.
Built with ❤️ by the UnlockMCP team.
関連サーバー
Scout Monitoring MCP
スポンサーPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
スポンサーAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Financial Dashboard with AI Agent Integration
A financial dashboard for monitoring and analyzing investment portfolios with AI-powered insights.
ActionKit MCP Starter
A demonstration server for ActionKit, providing access to Slack actions via Claude Desktop.
GhostMCP
Injectable MCP server for AI-driven reverse engineering inside processes
document-generator-mcp
generate pdf and word
Enkrypt AI Secure MCP Gateway
A secure MCP gateway that acts as a proxy, providing authentication, tool discovery, caching, and guardrail enforcement.
AI Counsel
True deliberative consensus MCP server where AI models debate and refine positions across multiple rounds
MCP-guide
A guide for setting up an MCP server using a Python virtual environment and integrating it with the Cline VS Code extension.
Proteus Workflow Engine
A modern, extensible multi-agent workflow engine with real-time monitoring and a web visualization interface.
XCF Xcode MCP Server
A Swift-based MCP server that integrates with Xcode to enhance AI development workflows.
godoc-mcp-server
MCP server to provide golang packages and their information from pkg.go.dev