mcp_gemini
This project demonstrates the integration of the Model Context Protocol (MCP) with Google's Gemini, providing a server and client setup along with GUI support using FastAPI and Streamlit.
Model Context Protocol (MCP)
A working demo of MCP integrated with Google's Gemini.
🚀 Getting Started
1. Clone the repository
git clone https://github.com/drkhan107/mcp_gemini.git
cd your-repo-name
2. Set up environment variables
Create a .env file in the root directory and add your Google API key:
GOOGLE_API_KEY="your_api_key_here"
3. 📦 Install Dependencies
Install all required packages from requirements.txt:
pip install -r requirements.txt
4. 🖥️ Run the MCP Server
Start the MCP server:
python sse_server.py
✅ This will start the MCP server at the configured port (default is http://localhost:8080/sse).
5. 🧠 Start the MCP Client (Optional)
Once the server is running, start the SSE client with the server URL:
python ssc_client.py http://localhost:8080/sse
6. 🧠 Start the FastAPI server (To Use GUI)
Run the following command (To change the port etc, edit the fastapp.py file)
python fastapp.py
7. Launch Streamlit app
- Make sure MCP server is running (http://localhost:8080/sse)
- Make sure FastAPI is running.
Run the following command
streamlit run app.py
This will start the streamlit app on port 8501
8. Browser
Once you open the browser (localhost:8501), click on connect to MCP server.
✅ Done! You now have a working demo of the Model Context Protocol with Gemini.