How to Integrate Zerodha Kite Connect with MCP Servers

A developer built kite-mcp-server, an open-source MCP server that bridges Zerodha Kite Connect with AI assistants like Claude Desktop, Cursor, and VS Code. The server allows AI agents to securely access trading data through natural language, enabling portfolio tracking, market analysis, and automated report generation. The project is available on GitHub for contributions and integration into AI-powered trading workflows.

Artificial Intelligence is transforming the way traders and developers interact with financial data. Instead of manually navigating dashboards, APIs, and trading terminals, developers can now connect AI assistants directly to market data and portfolio information using the Model Context Protocol MCP . To make this easier, I built kite-mcp-server , an open-source MCP server that bridges Zerodha Kite Connect with MCP-compatible AI clients such as Claude Desktop, Cursor, VS Code, Windsurf, and other AI-powered development tools. kite-mcp-server is an MCP implementation that allows AI assistants to securely access data from Zerodha Kite Connect through natural language. With this server, AI agents can: The goal is simple: bring trading data directly into AI workflows. Model Context Protocol MCP provides a standardized way for AI assistants to interact with external tools and APIs. Instead of writing custom integrations for every AI platform, developers can expose functionality through an MCP server once and use it across multiple AI clients. Benefits include: The overall workflow looks like this: AI Assistant ↓ MCP Client ↓ kite-mcp-server ↓ Zerodha Kite Connect API ↓ Trading Account The MCP server handles communication between AI assistants and Zerodha's APIs while returning structured responses that AI models can understand and use. Clone the repository: git clone https://github.com/BrextherFx/kite-mcp-server.git cd kite-mcp-server Install dependencies: npm install Configure your environment variables: KITE API KEY=your api key KITE API SECRET=your api secret Start the server: npm run start Once running, the MCP endpoint can be connected to any compatible AI client. Add the MCP configuration: { "mcpServers": { "kite": { "command": "node", "args": "path/to/kite-mcp-server" } } } Restart Claude Desktop and authenticate with your Zerodha account. After setup, you can ask: The AI assistant can retrieve and process this information directly through the MCP server. Track holdings, analyze performance, and generate portfolio summaries. Combine market data with AI analysis to identify trends and opportunities. Generate daily, weekly, or monthly trading reports automatically. Build custom dashboards, trading copilots, and automation tools powered by Kite Connect. kite-mcp-server is fully open source and available on GitHub: https://github.com/BrextherFx/kite-mcp-server https://github.com/BrextherFx/kite-mcp-server Contributions, feature requests, and feedback are always welcome. The combination of Zerodha Kite Connect and Model Context Protocol opens up exciting possibilities for AI-powered trading tools. With kite-mcp-server, developers can easily connect AI assistants to real-time trading data and build smarter financial workflows. Whether you're creating a trading copilot, portfolio analyzer, research assistant, or automation platform, kite-mcp-server provides a solid foundation for integrating Zerodha with modern AI systems. If you find the project useful, consider starring the repository and contributing to its development.