Content
[](https://mseep.ai/app/66julienmartin-mcp-server-deepseek-r1)
# 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.
<a href="https://glama.ai/mcp/servers/qui5thpyvu"><img width="380" height="200" src="https://glama.ai/mcp/servers/qui5thpyvu/badge" alt="Deepseek R1 Server MCP server" /></a>
## Quick Start
### Installing manually
```bash
# Clone and install
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`:
```typescript
// 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
1. Create a `.env` file:
```
DEEPSEEK_API_KEY=your-api-key-here
```
2. Update Claude Desktop configuration:
```json
{
"mcpServers": {
"deepseek_r1": {
"command": "node",
"args": ["/path/to/deepseek-r1-mcp/build/index.js"],
"env": {
"DEEPSEEK_API_KEY": "your-api-key"
}
}
}
}
```
## Development
```bash
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
```typescript
{
"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
MCP Store