Zerodha Kite MCP

Introduction

The Zerodha Kite MCP AI Tool leverages the Model Context Protocol (MCP) to bridge your Zerodha trading account with AI assistants. By securely streaming your account data—holdings, orders, margins, and historical prices—into a conversational interface, it transforms trading interactions into intuitive, natural language queries. This deep integration streamlines analysis, order placement, and portfolio management, empowering both novice and professional traders to make data-driven decisions without navigating complex dashboards.

Use Case & Target Audience

Use Cases:

Real-time portfolio analysis via chat
On-demand historical price comparisons
Automated GTT (Good Till Triggered) order setup
Voice-driven trade execution and margin checks

Target Audience:

Retail traders seeking faster query-driven insights
Algorithmic traders who integrate AI into workflows
Financial educators demonstrating live trading data
Developers building custom trading assistants

Official MCP Docs Installation Steps

Key Features

Secure SSE-based data stream via HTTPS

Natural language portfolio queries and trade commands

Support for equity, derivatives, and mutual funds

Historical data retrieval and charting endpoints

GTT order creation, modification, and cancellation

What It Does?

Kite MCP exposes a secure streaming endpoint (SSE) that continuously pushes account context—positions, margins, and active orders—into AI applications. It allows end users to ask questions like “What is my current margin utilization?” or “Place a buy order for 100 shares of ACC at market price,” triggering real-time responses and order executions through the same channel.

How It Works?

Authenticate your Zerodha account and grant MCP permissions.
Configure your AI assistant (e.g., Claude, Copilot Chat) to connect to https://mcp.kite.trade/sse.
Subscribe to data streams: portfolio, orders, historical prices.
Send natural language commands; MCP maps intents to Kite Connect REST API calls.
Receive SSE events for order confirmations, price updates, and error notifications.

Installation Steps

Ensure Node.js (>=14.x) and npm are installed.
Install the MCP client globally:
```
npm install -g mcp-remote
```
Obtain your Kite Connect API key and secret from the Zerodha Developer Console.

Run the authentication flow:

mcp-remote auth --api-key YOUR_API_KEY --api-secret YOUR_SECRET

Verify connectivity:
```
mcp-remote status
```

Configure MCP

For Claude Desktop:


{
  "mcpServers": {
    "kite": {
      "command": "npx",
      "args": ["mcp-remote", "https://mcp.kite.trade/sse"]
    }
  }
}

For GitHub Copilot Chat (VS Code):


// settings.json
{
  "mcp": {
    "servers": {
      "kite": {
        "url": "https://mcp.kite.trade/sse",
        "apiKey": "YOUR_API_KEY"
      }
    }
  }
}

Reload or restart the assistant to apply changes.

Pros and Cons

Pros

Seamless integration with conversational AI
Real-time data streaming reduces polling overhead
Comprehensive support for all Kite Connect APIs
Open protocol—extensible and transparent

Cons

Requires CLI setup and API credential management
Session timeouts can interrupt long queries
Limited to AI assistants supporting SSE

Final Thoughts

Zerodha’s Kite MCP AI Tool represents a significant leap in trading interface design, marrying the robustness of Kite Connect REST APIs with the fluidity of conversational AI. It democratizes advanced analytics and execution capabilities, making them accessible through simple prompts. While setup requires initial configuration, the productivity gains for active traders and developers alike are substantial.

Explore Kite API