Overview
Features
Natural language to MCP actions
Maps user natural language requests to configuration changes and exposes model lists and settings via MCP resources (e.g., models and model-config).
Automatic model fallback
If the primary model (deepseek-reasoner / R1) is down, automatically falls back to the secondary model (deepseek-chat / V3); users can switch explicitly via prompts.
Resource discovery and configuration
Supports discovery of available models and configuration options, including custom model selection and parameters like temperature, max tokens, Top P, presence penalty, and frequency penalty.
Enhanced multi-turn conversation
Maintains complete history and context across exchanges, preserving configuration settings for long-running dialogues and complex interaction flows.
Anonymous/proxy-based usage
Allows anonymous use of the DeepSeek API by routing through a proxy, ensuring client-side visibility is minimized.
Claude Desktop integration
Configured to work with Claude Desktop via claude_desktop_config.json and compatible installation methods (e.g., Smithery).
MCP Inspector testing workflow
Includes guidance to build, run, and test the server locally with MCP Inspector for debugging and performance monitoring.
Who Is This For?
- MCP developers:Build MCP-compatible apps or integrations that leverage DeepSeek LMs via the MCP server.
- Claude Desktop users:Integrate DeepSeek models with Claude Desktop through MCP server configuration.
- AI/ML teams:Utilize multi-turn capabilities and configuration discovery for complex interactions and experiments.




