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Mcp Server Deepseek
What is Mcp Server Deepseek
mcp-server-deepseek is a Model Control Protocol (MCP) server implementation designed for integrating Deepseek models with Claude Desktop, allowing users to leverage the capabilities of Deepseek within their applications.
Use cases
Use cases for mcp-server-deepseek include developing applications that utilize Deepseek for natural language processing, data analysis, and any scenario where model integration with Claude Desktop is beneficial.
How to use
To use mcp-server-deepseek, clone the repository, install the required dependencies, set up your Deepseek API key in the environment variables, and then run the server either using Docker or locally with Python.
Key features
Key features of mcp-server-deepseek include Docker support for easy deployment, compatibility with Claude Desktop, and the ability to integrate Deepseek models seamlessly into applications.
Where to use
mcp-server-deepseek can be used in fields such as machine learning, artificial intelligence, and software development, particularly where Deepseek models are needed for data processing or analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Server Deepseek
mcp-server-deepseek is a Model Control Protocol (MCP) server implementation designed for integrating Deepseek models with Claude Desktop, allowing users to leverage the capabilities of Deepseek within their applications.
Use cases
Use cases for mcp-server-deepseek include developing applications that utilize Deepseek for natural language processing, data analysis, and any scenario where model integration with Claude Desktop is beneficial.
How to use
To use mcp-server-deepseek, clone the repository, install the required dependencies, set up your Deepseek API key in the environment variables, and then run the server either using Docker or locally with Python.
Key features
Key features of mcp-server-deepseek include Docker support for easy deployment, compatibility with Claude Desktop, and the ability to integrate Deepseek models seamlessly into applications.
Where to use
mcp-server-deepseek can be used in fields such as machine learning, artificial intelligence, and software development, particularly where Deepseek models are needed for data processing or analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Server for Deepseek Integration
This repository contains a Model Control Protocol (MCP) server implementation that allows Claude Desktop to use Deepseek models running in Docker.
Prerequisites
- Docker
- Python 3.11 or later
- A Deepseek API key
- Claude Desktop
Installation
- Clone the repository:
git clone https://github.com/vincentf305/mcp-server-deepseek.git
cd mcp-server-deepseek
- Install dependencies:
pip install -r requirements.txt
Setup Environment Variables
Create a .env file in the root directory of the project and add the following environment variable:
DEEPSEEK_API_KEY=your_api_key_here
Make sure to replace your_api_key_here with your actual Deepseek API key.
Running the Server
Using Docker
- Build the Docker image:
docker build -t mcp_server_deepseek .
- Run the container:
docker run -d \ --name mcp-server-deepseek \ -p 8765:8765 \ -e DEEPSEEK_API_KEY=your_api_key_here \ mcp-server-deepseek
Running Locally
python -m mcp_server_deepseek.server
Usage with Claude Desktop
-
Ensure you have a Deepseek API key
-
Add the following to your Claude Desktop configuration (claude_desktop_config.json):
{
"mcpServers": {
"deepseek-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DEEPSEEK_API_KEY",
"mcp_server_deepseek"
],
"env": {
"DEEPSEEK_API_KEY": "your_api_key_here"
}
}
}
}
- Restart Claude Desktop to load the new configuration
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Create a Pull Request
License
MIT License - see the LICENSE file for details
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










