Kite Spring MCP Server

@Kartikhub

Basic information

About Kite Spring MCP Server

A Java implementation of Zerodha's Kite trading API as a Model Context Protocol (MCP) server using Spring Boot. This project enables AI agents to interact with the Kite trading platform through a standardized protocol, providing authentication and portfolio data access tools. Ins

#zerodha#kite#trading-api #spring-boot #mcp-server

Kite Spring MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Kite Spring MCP Server tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Kite Spring MCP Server?

Kite Spring MCP Server is a Java implementation of Zerodha's Kite API as a Model Context Protocol (MCP) server built with Spring Boot. It provides a communication bridge between AI agents and the Kite trading platform, allowing agents to authenticate users and access trading information through defined tools.

How to use Kite Spring MCP Server?

Set environment variables KITE_API_KEY and KITE_API_SECRET. Build with mvn clean package and run java -jar target/kite-spring-mcp-1.0-SNAPSHOT.jar. The server starts on port 8080. Configure AI agents (e.g., VS Code) to use SSE endpoint http://localhost:8080/mcp/sse.

Key features of Kite Spring MCP Server

OAuth-based authentication with Zerodha Kite
Session management for maintaining user context
Two MCP tools: login and get_holdings
Built with Spring Boot and Java 21
Supports Server-Sent Events (SSE) transport

Use cases of Kite Spring MCP Server

AI agent authenticates a user via OAuth login URL
AI agent retrieves user's portfolio holdings
Developers extend the server with additional Kite API tools
Integrate Zerodha trading data into AI workflows

Frequently asked questions

What dependencies are required?

Java 21 or higher, Maven, and Zerodha Kite API credentials.

What transport does it use?

It uses Server-Sent Events (SSE) for communicating with AI agents.

How do I authenticate with the trading platform?

Use the `login` tool which provides an OAuth login URL for the user to authenticate.

Can I add more tools to the server?

Yes, by creating new tool classes in the `io.github.kartikhub.tool` package and registering them.

Is this implementation production-ready?

It is a proof-of-concept with only two tools implemented (`login` and `get_holdings`).

Comments

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