
DeepClaude MCP
Enables integration and control of DeepSeek and Claude AI models through RESTful APIs, supporting seamless AI model operations with configurable parameters and robust error handling.
smithery-ai
README
DeepClaude MCP (Model Control Panel)
Overview
DeepClaude MCP (Model Control Panel) is a powerful server application that combines the capabilities of DeepSeek and Claude AI models to deliver enhanced results. This integration allows for more accurate and comprehensive AI responses by leveraging the strengths of both models.
Features
- Seamless integration of DeepSeek and Claude AI models
- RESTful API endpoints for easy integration
- Configurable model parameters
- Robust error handling with Winston logger
- Cross-origin resource sharing (CORS) support
- TypeScript implementation for type safety
Prerequisites
- Node.js (v14 or higher)
- npm or yarn package manager
- API keys for both DeepSeek and Claude services
Installation
- Clone the repository:
git clone https://github.com/Mrdapeng/DeepClaudeMcp.git
cd DeepClaudeMcp
- Install dependencies:
yarn install
# or
npm install
- Configure environment variables:
cp .env.example .env
# Edit .env file with your API keys and configuration
Development
- Start development server with hot-reload:
yarn dev
# or
npm run dev
- Build the project:
yarn build
# or
npm run build
- Start production server:
yarn start
# or
npm start
Project Structure
src/
├── config/ # Configuration files
├── services/ # Core services and API clients
├── types/ # TypeScript type definitions
└── index.ts # Application entry point
Dependencies
- Express.js - Web framework
- Axios - HTTP client
- Winston - Logging library
- CORS - Cross-origin resource sharing
- dotenv - Environment configuration
- TypeScript - Programming language
- Jest - Testing framework
License
This project is licensed under the MIT License - see the LICENSE file for details.
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