- Step 1: Clone or download the MCP server repository from GitHub.
- Step 2: Set up a Python environment as specified in the README, using uv or virtualenv.
- Step 3: Install dependencies with `uv install` or the equivalent pip commands.
- Step 4: Configure the MCP server settings if needed, editing mcp.config.json.
- Step 5: Launch the server using uv or your preferred method.
- Step 6: Use MCP tools to query stock data, manage watchlists, and perform analyses through CLI or API requests.