The README includes detailed Docker deployment instructions, allowing the MCP server to be containerized and run in a Docker environment with specified environment variables and ports.

The server uses .env files for configuration, specifically to store the Tiingo API key required for accessing market data.

NumPy is listed as a core dependency for the server's technical analysis capabilities.

Pandas is used for data manipulation and analysis within the server's technical analysis modules.

The server is built on Python 3.11+ and requires Python for execution.

The server uses YAML for Smithery configuration, defining required parameters and integration with Claude Desktop.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Trader Server analyze AAPL for technical indicators and trading signals"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.