Which models are supported?
The server defaults to DeepSeek‑R1 (`deepseek-reasoner`). You can switch to DeepSeek‑V3 (`deepseek-chat`) by modifying the model name in `src/index.ts`.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"66julienmartin_MCP-server-Deepseek_R1": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@66julienmartin/mcp-server-deepseek_r1",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server implementation for the Deepseek R1 language model, optimized for reasoning tasks with an 8192‑token context window. It integrates with Claude Desktop and supports both DeepSeek‑R1 and DeepSeek‑V3 models.
Install via Smithery (npx -y @smithery/cli install @66julienmartin/mcp-server-deepseek_r1 --client claude) or manually by cloning the repository, running npm install, setting up a .env file with your Deepseek API key, then building (npm run build). Configure Claude Desktop to point to the built index.js and set the DEEPSEEK_API_KEY environment variable.
max_tokens and temperature.The server defaults to DeepSeek‑R1 (`deepseek-reasoner`). You can switch to DeepSeek‑V3 (`deepseek-chat`) by modifying the model name in `src/index.ts`.
Node.js v18 or higher, npm, Claude Desktop, and a valid Deepseek API key.
Copy `.env.example` to `.env` and add your key as `DEEPSEEK_API_KEY=your-api-key-here`. Also set this environment variable in the Claude Desktop server configuration.
It controls randomness. Default is 0.2. Recommended values: 0.0 for coding/math, 1.0 for data analysis, 1.3 for general conversation/translation, 1.5 for creative writing.
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