Deepseek R1
About
Integrates with Deepseek R1 model for text generation and analysis tasks, enabling content creation and AI-assisted decision-making in various applications.
Details
- Author
- 66julienmartin
- GitHub stars
- 69
- Downloads
- 378
- Categories
- Communication, AI, Other, Community, Productivity, Developer Tools, Design, Workplace, Infrastructure, Project Management, Frontend
- Tags
- #anthropic, #integration
Jump to
- Advanced text generation with 8192‑token context window
- Configurable parameters (max_tokens, temperature)
- Robust error handling with detailed messages
- Full MCP protocol support
- Claude Desktop integration
- Support for both DeepSeek‑R1 and DeepSeek‑V3 models
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Deepseek R1Command (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, run npm install, copy .env.example to .env and add your Deepseek API key, then build with npm run build. In Claude Desktop’s configuration, add an MCP server entry with command node and arguments pointing to the built index.js file, plus the DEEPSEEK_API_KEY environment variable.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"deepseek r1": {
"deepseek_r1": {
"command": "node",
"args": [
"/path/to/deepseek-r1-mcp/build/index.js"
],
"env": {
"DEEPSEEK_API_KEY": ""
}
}
}
}
}McpServers
{
"deepseek_r1": {
"command": "node",
"args": [
"/path/to/deepseek-r1-mcp/build/index.js"
],
"env": {
"DEEPSEEK_API_KEY": ""
}
}
}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.
# 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
- Node.js (v18 or higher)
- npm
- Claude Desktop
- Deepseek API key
By default, this server uses thedeepseek-R1model. If you want to useDeepSeek-V3instead, modify the model name insrc/index.ts:
// For DeepSeek-R1 (default) model: "deepseek-reasoner" // For DeepSeek-V3 model: "deepseek-chat"
deepseek-r1-mcp/ ├── src/ │ ├── index.ts # Main server implementation ├── build/ # Compiled files │ ├── index.js ├── LICENSE ├── README.md ├── package.json ├── package-lock.json └── tsconfig.json
{ "mcpServers": { "deepseek_r1": { "command": "node", "args": ["/path/to/deepseek-r1-mcp/build/index.js"], "env": { "DEEPSEEK_API_KEY": "your-api-key" } } } }
npm run dev # Watch mode npm run build # Build for production
- 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
{ "name": "deepseek_r1", "arguments": { "prompt": "Your prompt here", "max_tokens": 8192, // Maximum tokens to generate "temperature": 0.2 // Controls randomness } }
The default value oftemperatureis 0.2.
Deepseek recommends setting thetemperatureaccording to your specific use case:
The server provides detailed error messages for common issues:
- API authentication errors
- Invalid parameters
- Rate limiting
- Network issues
Contributions are welcome! Please feel free to submit a Pull Request.
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