MCP Gemini

Model Context Protocol (MCP)

A working demo of MCP integrated with Google's Gemini.

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🚀 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.