Deepseek R1 Mcp Server
A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3)
Overview
What is MCP-server-Deepseek_R1?
MCP-server-Deepseek_R1 is a Model Context Protocol (MCP) server implementation that connects Claude Desktop with DeepSeek's language models, specifically the R1 and V3 versions. This server facilitates seamless communication and interaction between the user interface and the underlying language processing capabilities of DeepSeek, allowing for enhanced functionality and user experience.
Features of MCP-server-Deepseek_R1
- Integration with Claude Desktop: The server is designed to work directly with Claude Desktop, providing a user-friendly interface for accessing DeepSeek's language models.
- Support for Multiple Models: It supports both R1 and V3 versions of DeepSeek's language models, offering flexibility and options for users.
- Open Source: The project is publicly available, allowing developers to contribute, modify, and enhance the server according to their needs.
- Active Community: With a growing number of stars and forks, the project has an active community that contributes to its development and improvement.
How to Use MCP-server-Deepseek_R1
- Installation: Clone the repository from GitHub using the command:
git clone https://github.com/66julienmartin/MCP-server-Deepseek_R1.git - Setup: Follow the instructions in the README file to set up the server environment and dependencies.
- Running the Server: Start the server using the provided scripts or commands, ensuring that all configurations are set correctly for your environment.
- Connecting to Claude Desktop: Once the server is running, connect it with Claude Desktop to begin utilizing the language models for various applications.
Frequently Asked Questions
What is the purpose of MCP in this context?
The Model Context Protocol (MCP) serves as a communication framework that allows different applications to interact with language models effectively, ensuring that the context is maintained throughout the interaction.
Is MCP-server-Deepseek_R1 suitable for production use?
Yes, the server is designed for both development and production environments, but users should thoroughly test it in their specific use cases to ensure stability and performance.
How can I contribute to the project?
You can contribute by forking the repository, making your changes, and submitting a pull request. Additionally, reporting issues or suggesting features is highly encouraged.
What are the system requirements for running MCP-server-Deepseek_R1?
The system requirements may vary based on the specific configurations and models used. Generally, a modern server with adequate RAM and processing power is recommended to handle the language processing tasks efficiently.
Where can I find more information about the project?
For more details, documentation, and updates, you can visit the GitHub repository.
Details
Server Config
{
"mcpServers": {
"mcp-server-deepseek-r-1": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/metorial/mcp-container--66julienmartin--mcp-server-deepseek_r1--mcp-server-deepseek-r-1",
"npm run start"
],
"env": {
"DEEPSEEK_API_KEY": "deepseek-api-key"
}
}
}
}
