How to Build a MCP Server in 10 Minutes (for Stock Trading Agents)

Introduction

This tutorial provides a step-by-step guide on how to build a Market-Connect Protocol (MCP) server tailored for stock trading agents. Following these instructions will help you set up the server quickly and efficiently, enhancing your ability to work with trading algorithms.

Step 1: Set Up Your Development Environment

To begin, ensure your development environment is ready for building the MCP server.

• Install Python (version 3.6 or higher recommended).
• Install necessary libraries using pip:

  pip install flask flask-socketio requests
  

• Clone the GitHub repository containing the code:

  git clone https://github.com/nicknochnack/MCPin10
  

Step 2: Understand the Code Structure

Familiarize yourself with the repository structure to navigate the files effectively.

• Navigate to the cloned directory:

  cd MCPin10
  

Key files to note

• app.py: Main application file where the server code resides.
• config.py: Contains configuration settings for the server.
• requirements.txt: Lists all necessary packages for the project.

Step 3: Configure the Server

Adjust settings in config.py to suit your needs.

Open config.py and modify parameters such as

• SERVER_HOST: Change to your desired host address.
• SERVER_PORT: Set a port number, typically 5000 is used.

Step 4: Run the Server

With your environment set up and configuration adjusted, it's time to start the server.

• Execute the following command in your terminal:

  python app.py
  

• You should see output indicating that the server is running. Access it via your web browser at http://localhost:5000.

Step 5: Connect Trading Agents

Integrate your stock trading agents with the MCP server.

• Ensure your trading agent is capable of sending and receiving messages via WebSocket.
• Use the following sample code snippet to establish a connection:

  from socketIO_client import SocketIO
  
  socketIO = SocketIO('localhost', 5000)
  socketIO.emit('join', {'agent_id': 'your_agent_id'})
  

Step 6: Test the Setup

Verify that your server and trading agents are communicating effectively.

• Use tools like Postman or a simple web client to send test messages to the server.
• Monitor terminal output for incoming connections or messages.

Conclusion

You have successfully built an MCP server for stock trading agents. Key steps included setting up your environment, understanding the code structure, configuring the server, running it, and connecting trading agents.

Next steps could include experimenting with different trading algorithms, improving your server's functionality, or exploring additional features provided in the GitHub repository. Happy coding!