Learn how to integrate ChartGaze with your AI agents and build market intelligence applications.
Install the ChartGaze MCP server in your project.
pip install chartgaze-mcpConnect ChartGaze to your AI agent in a few lines.
import { ChartGazeClient } from 'chartgaze';
const client = new ChartGazeClient({
apiKey: process.env.TRADEGAZE_API_KEY,
workspace: 'your-workspace'
});
// Get market data
const market = await client.market.getSnapshot({
symbol: 'GOLD',
timeframe: '1H'
});
console.log(market);Get your API key from the dashboard.
Environment variable:
TRADEGAZE_API_KEY=your_key_hereDeveloper docs
Point Claude, ChatGPT, or a custom MCP client at mcp.chartgaze.live after you sign up. Tools expose market context, history, events, and account-aware workflows without forcing a proprietary trading UI.
Teams embedding ChartGaze into products use the same context shapes via API / SDK. For white-label and TrainFlow autonomous trading bundles, talk to sales.