Zerodha MCP Server

Zerodha MCP Server

Enables trading operations on Zerodha platform through natural language, supporting account management, order placement/modification, portfolio holdings, positions, margins, and stock news retrieval.

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README

Zerodha MCP Server & Client

A Python-based trading assistant that connects to a Zerodha MCP server to help users manage their trading account.

Features

  • Account Management: Manage Zerodha trading account, orders, and positions
  • Interactive Chat Interface: Natural language interface for trading operations
  • MCP Integration: Built on the Model Context Protocol for standardized communication
  • Zerodha API Integration: Uses Zerodha's API to interact with the trading platform
  • Google ADK Agent: Uses Google ADK Agent to interact with the trading platform

Tech Stack

Tools

  • Place Orders: Place orders in the trading platform
  • Modify Orders: Modify orders in the trading platform
  • Cancel Orders: Cancel orders in the trading platform
  • Get Orders: Get orders in the trading platform
  • Get Order History: Get order history in the trading platform
  • Get Order Trades: Get order trades in the trading platform
  • Get Margins: Get margins in the trading platform
  • Get Holdings: Get holdings in the trading platform
  • Get Positions: Get positions in the trading platform
  • Get User Profile: Get user profile in the trading platform
  • Get Stock News & Fundamentals: Gets news about a specific stock

Prerequisites

  • Python
  • Zerodha trading account with Personal API access from here
  • Zerodha API key and secret
  • Gemini API key or Application Default Credentials (for Google ADK Agent)

Installation

  1. Clone the repository:
git clone https://github.com/jainsourabh2/zerodha-mcp.git
cd zerodha-mcp
  1. Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip3 install -r requirements.txt
  1. Set up environment variables:
# Copy the example environment file
cp .env.example .env

# Edit the .env file with your credentials
  1. Create a .env file with your configuration:
# Server Configuration
ZERODHA_API_KEY=your_api_key
ZERODHA_API_SECRET=your_api_secret
PORT=8001
SERVER_MODE=sse  # or stdio

# Client Configuration
MCP_HOST=localhost
MCP_PORT=8001
GOOGLE_API_KEY=your_google_api_key

Server Usage

The server provides a set of tools for interacting with the Zerodha trading platform. To start the server:

  1. Make sure your .env file is properly configured with your Zerodha API credentials.

  2. Start the server using one of the following methods:

# Using environment variables
python server.py

# Or using command line arguments
python server.py --api-key your_api_key --api-secret your_api_secret --port 8001 --mode sse

The server provides the following tools:

  • get_login_url: Get the login URL for user authentication
  • get_access_token: Generate access token using request token
  • get_user_profile: Get user's Zerodha profile information
  • get_margins: Get available margins and fund details
  • get_holdings: Get portfolio holdings
  • get_positions: Get current positions
  • get_orders: Get all orders for the day
  • get_order_history: Get history of a specific order
  • get_order_trades: Get trades generated by an order
  • place_order: Place a new order
  • modify_order: Modify an existing order
  • cancel_order: Cancel an order

Client Usage

This project provides three client implementations:

  1. Using Google ADK (client/google_adk_client.py)

All clients connect to the MCP server and provide an interactive interface for trading operations.


### Running the Google ADK Client

1. Ensure you have authenticated with Google AI, either by setting the `GOOGLE_API_KEY` environment variable (and uncommenting it in `.env`) or by using Application Default Credentials (run `gcloud auth application-default login`).
2. Start the client using one of the following methods:

```bash
# Using environment variables from .env file
python client/google_adk_client.py

# Using command line arguments
python client/google_adk_client.py --host localhost --port 8001

# Using a combination (command line arguments take precedence)
MCP_HOST=localhost MCP_PORT=8001 python client/google_adk_client.py --host otherhost --port 9000

Client Configuration

Both clients support configuration through multiple sources, with the following precedence:

  1. Command-line arguments (highest precedence)
  2. Environment variables
  3. .env file variables

Configuration options:

  • Environment variables: MCP_HOST and MCP_PORT
  • Command-line arguments: --host and --port
  • .env file variables: MCP_HOST, MCP_PORT, OPENAI_API_KEY, and GOOGLE_API_KEY

Default values (if no configuration is provided):

  • Host: localhost
  • Port: 8001

The client automatically loads environment variables from the .env file in the project root directory. Make sure your .env file contains the necessary configuration:

# Client Configuration
MCP_HOST=localhost
MCP_PORT=8001
OPENAI_API_KEY=your_openai_api_key
# GOOGLE_API_KEY=your_google_api_key
  1. The client will automatically connect to the MCP server using the provided configuration.

  2. Once connected, you can interact with the assistant using natural language commands. For example:

    • "Show me my portfolio holdings"
    • "What are my current positions?"
    • "Place a market order for 10 shares of RELIANCE"
    • "Cancel order ID 123456"
  3. To exit the client, type 'quit' when prompted.

Development

Project Structure

  • client/google_adk_client.py: MCP client implementation using Google ADK
  • server.py: MCP server implementation with Zerodha API integration
  • generate_token.py: Utility for generating access tokens
  • requirements.txt: Project dependencies
  • .env: Environment configuration

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Acknowledgments

zerodha-mcp

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