DeepClaude MCP Server

by smithery-ai

DeepClaude MCP (Model Control Panel)

English | 中文

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

  1. Clone the repository:
git clone https://github.com/Mrdapeng/DeepClaudeMcp.git cd DeepClaudeMcp
  1. Install dependencies:
yarn install # or npm install
  1. 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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security - not tested
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license - not found
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

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.

  1. Overview
    1. Features
      1. Prerequisites
        1. Installation
          1. Development
            1. Project Structure
              1. Dependencies
                1. License

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