Kite MCP Server

Overview

The Kite MCP Server is a ready‑to‑use Model Context Protocol (MCP) gateway that exposes the full breadth of the Kite Connect trading API to AI assistants. By translating standard MCP calls into authenticated requests against Kite’s REST endpoints, the server gives agents instant, secure access to market data, portfolio snapshots and trading actions without exposing users’ API keys or credentials. This solves a common pain point for developers who want to embed algorithmic trading, portfolio analysis or real‑time market alerts into conversational agents: the need for a custom integration layer that handles authentication, rate limiting and data normalization.

For developers building AI‑powered trading workflows, the server is a single point of contact. An agent can query holdings, place orders, or subscribe to live quotes through a uniform MCP interface, and the server translates these into the appropriate Kite Connect calls. Because the server handles pagination automatically, agents can request large datasets—such as historical OHLC data or complete trade histories—without worrying about page tokens or chunked responses. The built‑in documentation, served at runtime, lets developers explore the available endpoints and payload structures on the fly, accelerating prototyping.

Key capabilities include:

• Portfolio Management – Retrieve current holdings, positions, margin usage and mutual fund investments.
• Order Lifecycle – Place new orders, modify or cancel existing ones, and fetch full order history.
• GTT Support – Manage Good‑Till‑Triggered orders for advanced strategy execution.
• Market Data – Access real‑time quotes, historical series and OHLC charts for any instrument.
• Multi‑mode Deployment – Operate in stdio, HTTP, SSE or hybrid modes to fit different client architectures.
• Automatic Pagination – Seamlessly fetch large result sets without manual paging logic.

Real‑world use cases span from building a conversational portfolio dashboard that reports real‑time equity positions, to an AI coach that suggests optimal rebalancing trades based on market conditions. In algorithmic trading, a Claude or other AI assistant can act as an execution engine, receiving strategy signals and submitting orders through the MCP server while maintaining a clear audit trail. The hosted version at removes the need for any setup, making it ideal for rapid experimentation or demo environments. For production workloads, self‑hosting with a private API key adds an extra layer of security and control.

By integrating the Kite MCP Server into AI workflows, developers gain a robust, standards‑compliant bridge between conversational agents and live trading infrastructure, enabling sophisticated financial applications without bespoke code.