A Model Context Protocol (MCP) server implementation for the Deepseek R1 language model.
Created 3 months ago
A Model Context Protocol (MCP) server implementation for the Deepseek R1 language model.
What is A Model Context Protocol (MCP) server implementation for the Deepseek R1 language model.?
Deepseek R1 is a powerful language model optimized for reasoning tasks with a context window of 8192 tokens. This implementation uses Node.js/TypeScript for stable integration with MCP servers, offering better type safety and error handling.
Documentation
Deepseek R1 MCP Server
A Model Context Protocol (MCP) server implementation for the Deepseek R1 language model. Deepseek R1 is a powerful language model optimized for reasoning tasks with a context window of 8192 tokens.
Why Node.js? This implementation uses Node.js/TypeScript as it provides the most stable integration with MCP servers. The Node.js SDK offers better type safety, error handling, and compatibility with Claude Desktop.
Quick Start# Installing manually
git clone https://github.com/66julienmartin/MCP-server-Deepseek_R1.git
cd deepseek-r1-mcp
npm install
# Set up environment
cp .env.example .env # Then add your API key
# Build and run
npm run build
Prerequisites
- Node.js (v18 or higher)
- npm
- Claude Desktop
- Deepseek API key
Model Selection
By default, this server uses the deepseek-R1 model. If you want to use DeepSeek-V3 instead, modify the model name in src/index.ts:
// For DeepSeek-R1 (default)
model: "deepseek-reasoner"
// For DeepSeek-V3
model: "deepseek-chat"
Project Structure
deepseek-r1-mcp/
├── src/
│ ├── index.ts # Main server implementation
├── build/ # Compiled files
│ ├── index.js
├── LICENSE
├── README.md
├── package.json
├── package-lock.json
└── tsconfig.json
Configuration
- Create a
.envfile:
DEEPSEEK_API_KEY=your-api-key-here
- Update Claude Desktop configuration:
{
"mcpServers": {
"deepseek_r1": {
"command": "node",
"args": ["/path/to/deepseek-r1-mcp/build/index.js"],
"env": {
"DEEPSEEK_API_KEY": "your-api-key"
}
}
}
}
Development
npm run dev # Watch mode
npm run build # Build for production
Features
- Advanced text generation with Deepseek R1 (8192 token context window)
- Configurable parameters (max_tokens, temperature)
- Robust error handling with detailed error messages
- Full MCP protocol support
- Claude Desktop integration
- Support for both DeepSeek-R1 and DeepSeek-V3 models
API Usage
{
"name": "deepseek_r1",
"arguments": {
"prompt": "Your prompt here",
"max_tokens": 8192, // Maximum tokens to generate
"temperature": 0.2 // Controls randomness
}
}
The Temperature Parameter
The default value of temperature is 0.2.
Deepseek recommends setting the temperature according to your specific use case:
| USE CASE | TEMPERATURE | EXAMPLE |
|---|---|---|
| Coding / Math | 0.0 | Code generation, mathematical calculations |
| Data Cleaning / Data Analysis | 1.0 | Data processing tasks |
| General Conversation | 1.3 | Chat and dialogue |
| Translation | 1.3 | Language translation |
| Creative Writing / Poetry | 1.5 | Story writing, poetry generation |
Error Handling
The server provides detailed error messages for common issues:
- API authentication errors
- Invalid parameters
- Rate limiting
- Network issues
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT
Server Config
{
"mcpServers": {
"a-model-context-protocol-(mcp)-server-implementation-for-the-deepseek-r1-language-model.-server": {
"command": "npx",
"args": [
"a-model-context-protocol-(mcp)-server-implementation-for-the-deepseek-r1-language-model."
]
}
}
}