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mcp-server-deepseek

by tizee

A Model Context Protocol (MCP) server that provides access to DeepSeek-R1's reasoning capabilities, allowing non-reasoning models to generate better responses with enhanced thinking. It acts as a bridge between LLM applications and DeepSeek's reasoning capabilities.

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What is mcp-server-deepseek?

This server acts as a bridge between LLM applications and DeepSeek's reasoning capabilities. It exposes DeepSeek-R1's reasoning content through an MCP tool, which can be used by any MCP-compatible client.

How to use mcp-server-deepseek?

  1. Clone the repository. 2. Create a virtual environment. 3. Install the package. 4. Create a .env file with your DeepSeek API credentials. 5. Edit the .env file with your API key and model details. 6. Run the server using mcp-server-deepseek or make dev. Use the think_with_deepseek_r1 tool with a prompt to get DeepSeek-R1's reasoning.

Key features of mcp-server-deepseek

  • Access to DeepSeek-R1

  • Structured Thinking

  • Integration with MCP

  • Error Handling

Use cases of mcp-server-deepseek

  • Enhancing responses from models without native reasoning capabilities

  • Accessing DeepSeek-R1's thinking process for complex problem solving

  • Adding structured reasoning to Claude or other LLMs that support MCP

  • Integrating reasoning capabilities into existing LLM applications

FAQ from mcp-server-deepseek

What if my API key is not working?

Ensure your DeepSeek API key is correctly set in the .env file.

What if I encounter timeout errors?

Complex prompts may cause timeouts. Try simplifying your prompt.

What if my query doesn't generate reasoning content?

Some queries might not generate reasoning content. Try rephrasing.

Where can I find the server logs?

Logs are stored in ~/.cache/mcp-server-deepseek/server.log

How do I configure the log level?

The log level can be configured using the LOG_LEVEL environment variable (defaults to DEBUG).