DeepSeek MCP Server
by DMontgomery40
The DeepSeek MCP Server allows seamless integration of DeepSeek's language models with Model Context Protocol (MCP) compatible applications like Claude Desktop. It acts as a proxy, enabling anonymous use of the DeepSeek API.
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What is DeepSeek MCP Server?
The DeepSeek MCP Server is a Model Context Protocol server designed to interface with the DeepSeek API. It allows applications that support the MCP standard, such as Claude Desktop, to utilize DeepSeek's language models.
How to use DeepSeek MCP Server?
The server can be installed via Smithery or manually using npm. After installation, configure your MCP-compatible application (e.g., Claude Desktop) to use the server, providing your DeepSeek API key. The server then handles communication with the DeepSeek API.
Key features of DeepSeek MCP Server
Seamless integration with DeepSeek API
MCP compatibility
Automatic model fallback (R1 to V3)
Resource discovery for available models and configurations
Multi-turn conversation support with context management
Temperature control
Max tokens limit
Top P sampling
Presence and Frequency penalties
Use cases of DeepSeek MCP Server
Integrating DeepSeek models with Claude Desktop
Anonymously accessing DeepSeek API
Training and fine-tuning DeepSeek models with multi-turn conversation data
Managing complex interactions with context preservation
Production use cases requiring longer conversations and context
FAQ from DeepSeek MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for communication between applications and language model servers.
How do I get a DeepSeek API key?
How do I get a DeepSeek API key?
You need to sign up for the DeepSeek API and obtain an API key from their platform.
What is the difference between R1 and V3 models?
What is the difference between R1 and V3 models?
R1 (deepseek-reasoner) is recommended for technical and complex queries due to speed and token usage, while V3 (deepseek-chat) is recommended for general purpose use.
How do I switch between models during a conversation?
How do I switch between models during a conversation?
You can switch between models by specifying 'use deepseek-reasoner' or 'use deepseek-chat' in your prompt.
How do I test the server locally?
How do I test the server locally?
You can test the server using the MCP Inspector tool by building the server and running it with the inspector.