mcp-server-deepseek

What is mcp-server-deepseek?

The mcp-server-deepseek is a Model Context Protocol (MCP) server that provides access to DeepSeek-R1's reasoning capabilities, enabling non-reasoning models to generate improved responses through enhanced thinking.

How to use mcp-server-deepseek?

To use the mcp-server-deepseek, clone the repository, set up a virtual environment, install the package, and configure your DeepSeek API credentials in a .env file. You can then run the server and use the think_with_deepseek_r1 tool to send prompts and receive reasoning content.

Key features of mcp-server-deepseek?

• Access to DeepSeek-R1's reasoning model via API.
• Structured reasoning output in a <thinking> format.
• Full compatibility with the Model Context Protocol.
• Robust error handling and detailed logging.

Use cases of mcp-server-deepseek?

1. Enhancing responses from models lacking native reasoning capabilities.
2. Accessing DeepSeek-R1's reasoning for complex problem-solving tasks.
3. Integrating structured reasoning into LLMs like Claude that support MCP.

FAQ from mcp-server-deepseek?

• What is required to run the server?

  You need Python 3.13 or higher and a valid DeepSeek API key.

• How do I run the server?

  You can run the server directly using the command mcp-server-deepseek or in development mode with make dev.

• What should I do if I encounter API key issues?

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