I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

mahawi1992_mcp-documentation-server
Mirror ofhttps://github.com/mahawi1992/mcp-documentation-server
0
Github Watches
1
Github Forks
0
Github Stars
MCP Documentation Server
A smart documentation server that provides AI-assisted code improvement and documentation management through Claude Desktop integration.
Features
- AI Documentation Guide: Maintains and updates documentation knowledge base
- AI Code Assistant: Analyzes and improves code quality
-
Framework Support:
- React.js
- Next.js (with App Router)
- Python
- Vue.js
- Angular
- Node.js
- Brave Search Integration: Smart documentation search and retrieval
- Learning System: Improves suggestions over time
Quick Start
- Install the package:
npm install -g mcp-documentation-server
- Configure Claude Desktop (config.json):
{
"mcpServers": {
"documentation": {
"command": "npx",
"args": ["-y", "mcp-documentation-server"],
"env": {
"BRAVE_API_KEY": "<YOUR_BRAVE_API_KEY>"
}
}
}
}
- Start using with Claude:
Claude, search documentation for Next.js App Router
For detailed setup instructions, see Claude Desktop Setup Guide
Development Setup
- Clone the repository:
git clone https://github.com/mahawi1992/mcp-documentation-server.git
cd mcp-documentation-server
- Install dependencies:
npm install
- Create a .env file:
PORT=3000
UPDATE_INTERVAL=3600000
CACHE_DURATION=86400000
BRAVE_API_KEY=your_brave_api_key
- Start the development server:
npm run dev
Documentation
Using with Claude Desktop
Basic Commands
Claude, search documentation for React hooks
Claude, analyze this Python code and suggest improvements...
Claude, find best practices for Next.js App Router
Advanced Usage
Claude, search for documentation about async/await in Python 3.9
Claude, analyze this code for security issues and suggest fixes...
For more examples, see the Usage Guide
Contributing
- Fork the repository
- Create your feature branch:
git checkout -b feature/amazing-feature
- Commit your changes:
git commit -m 'Add amazing feature'
- Push to the branch:
git push origin feature/amazing-feature
- Open a Pull Request
Testing
Run the test suite:
npm test
Run specific tests:
npm test -- tests/integration/BraveSearchIntegration.test.ts
License
This project is licensed under the MIT License - see the LICENSE file for details
相关推荐
I find academic articles and books for research and literature reviews.
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
Confidential guide on numerology and astrology, based of GG33 Public information
This GPT assists in finding a top-rated business CPA - local or virtual. We account for their qualifications, experience, testimonials and reviews. Business operators provide a short description of your business, services wanted, and city or state.
Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.
Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
Mirror ofhttps://github.com/agentience/practices_mcp_server
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A unified API gateway for integrating multiple etherscan-like blockchain explorer APIs with Model Context Protocol (MCP) support for AI assistants.
Reviews

user_IL7LMEc0
I've been using ncbi-mcp by boazberman for a while now, and it's genuinely impressive. The tool is seamless and intuitive, catering perfectly to my computational needs. The interface is user-friendly, and the support documentation is thorough. I highly recommend checking it out at https://mcp.so/server/ncbi-mcp/boazberman for anyone looking to enhance their workflow.