How to Install an MCP Server ?

The Model Control Protocol (MCP) is an AI integration standard that allows models to interact with external tools and data sources. Setting up an MCP server lets you host and manage AI models efficiently. Follow this simple guide to install and run an MCP server.

✅ Step 1: Install Python and Dependencies

MCP runs on Python, so you need to install it first.

1. Download Python from the official website: Python.org
2. Install Python and ensure “Add Python to PATH” is checked during installation.
3. Verify installation by running this command in the terminal: shCopierModifierpython --version

Next, install the required dependencies:

shCopierModifierpip install model-control-protocol

✅ Step 2: Set Up Your MCP Server

1. Create a new directory for your MCP server: shCopierModifiermkdir mcp-server && cd mcp-server
2. Initialize an MCP server script (server.py): shCopierModifiertouch server.py

✅ Step 3: Write the MCP Server Code

Open server.py in a text editor and paste the following code:

pythonCopierModifierfrom model_control_protocol import MCPServer

# Initialize the server
server = MCPServer(host="0.0.0.0", port=5000)

# Define a simple AI tool function
@server.tool("hello_world")
def hello_world():
    return "Hello, MCP!"

# Start the server
if __name__ == "__main__":
    server.start()

✅ Step 4: Run the MCP Server

Save your file and start the server with:

shCopierModifierpython server.py

Your MCP server is now running on port 5000! 🎉

✅ Step 5: Test Your Server

Open another terminal and run:

shCopierModifiercurl http://localhost:5000/tools/hello_world

If everything works, you should see:

jsonCopierModifier{"result": "Hello, MCP!"}

🎯 Next Steps

Now You Know How to Install an MCP Server ?

• Customize the MCP server by adding more tools.
• Secure your server using authentication methods.
• Deploy your server on a cloud provider for remote access.

Now you have a fully functional MCP server up and running! 🚀