Mcpwithdeepseek
What is Mcpwithdeepseek
McpWithDeepseek is a customized Python client that integrates the Model Context Protocol (MCP) with the DeepSeek LLM, replacing the default Claude LLM model.
Use cases
Use cases include weather forecasting applications, chatbots, and any application that benefits from enhanced language understanding and generation.
How to use
To use McpWithDeepseek, clone the repository, set up a virtual environment, install the necessary dependencies, configure your DeepSeek API key, and run the client with the desired script.
Key features
Key features include the integration of DeepSeek LLM API, preservation of the original MCP logic and structure, and ease of customization for specific use cases.
Where to use
McpWithDeepseek can be used in various fields such as natural language processing, AI-driven applications, and any domain requiring advanced language model capabilities.
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 Mcpwithdeepseek
McpWithDeepseek is a customized Python client that integrates the Model Context Protocol (MCP) with the DeepSeek LLM, replacing the default Claude LLM model.
Use cases
Use cases include weather forecasting applications, chatbots, and any application that benefits from enhanced language understanding and generation.
How to use
To use McpWithDeepseek, clone the repository, set up a virtual environment, install the necessary dependencies, configure your DeepSeek API key, and run the client with the desired script.
Key features
Key features include the integration of DeepSeek LLM API, preservation of the original MCP logic and structure, and ease of customization for specific use cases.
Where to use
McpWithDeepseek can be used in various fields such as natural language processing, AI-driven applications, and any domain requiring advanced language model capabilities.
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
DeepSeek Client for Model Context Protocol (MCP)
This project is a customized Python client based on the official Model Context Protocol (MCP) quickstart guide.
It replaces the default Claude LLM model with the DeepSeek LLM by updating the API configuration in client.py.
🚀 Quick Start
1. Clone the Repository
git clone https://github.com/your-username/deepseek-mcp-client.git
cd deepseek-mcp-client
2. Set Up Environment
It’s recommended to use a virtual environment:
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
Then install dependencies:
uv add mcp anthropic python-dotenv
3. Configure API Keys
Make sure you have an API key for the DeepSeek LLM.
DEEPSEEK_API_KEY=your_deepseek_api_key
4. Run the Client
uv run client.py ../MCP-SERVER-DEMO/weather.py
The weather.py is same with https://github.com/modelcontextprotocol/quickstart-resources/blob/main/weather-server-python/weather.py and https://modelcontextprotocol.io/quickstart/server
🔧 What’s Modified?
Only client.py is changed from the original MCP implementation:
- Replaced Claude LLM API with DeepSeek LLM API.
- Preserved the original Model Context Protocol logic and structure.
📚 References
- Official MCP Documentation: https://modelcontextprotocol.io/
- DeepSeek: https://deepseek.com/
Feel free to customize the client.py further to suit your use case.
📝 License
MIT License
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.
