Zerodha MCP Server & Client
by mtwn105
A Python-based trading assistant that connects to a Zerodha MCP server to help users manage their trading account. It provides an interactive chat interface for trading operations.
Last updated: N/A
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
- Agno Agent: Uses Agno Agent to interact with the trading platform
- Google ADK Agent: Uses Google ADK Agent to interact with the trading platform
Tech Stack
- Protocol: Model Context Protocol (MCP)
- Agent Framework:
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
Prerequisites
- Python
- Zerodha trading account with Personal API access from here
- Zerodha API key and secret
- OpenAI API key (for Agno Agent)
- Gemini API key or Application Default Credentials (for Google ADK Agent)
Installation
- Clone the repository:
git clone https://github.com/mtwn105/zerodha-mcp-server-client.git
cd zerodha-mcp-server-client
- Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
- Install dependencies:
pip install -r requirements.txt
- Set up environment variables:
# Copy the example environment file
cp .env.example .env
# Edit the .env file with your credentials
- 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
OPENAI_API_KEY=your_openai_api_key
# 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:
-
Make sure your
.env
file is properly configured with your Zerodha API credentials. -
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 authenticationget_access_token
: Generate access token using request tokenget_user_profile
: Get user's Zerodha profile informationget_margins
: Get available margins and fund detailsget_holdings
: Get portfolio holdingsget_positions
: Get current positionsget_orders
: Get all orders for the dayget_order_history
: Get history of a specific orderget_order_trades
: Get trades generated by an orderplace_order
: Place a new ordermodify_order
: Modify an existing ordercancel_order
: Cancel an order
Client Usage
This project provides two client implementations: one using the Agno framework (client/agno_client.py
) and another using Google ADK (client/google_adk_client.py
). Both connect to the MCP server and provide an interactive interface for trading operations.
Running the Agno Client
- Ensure your
.env
file includesOPENAI_API_KEY
. - Start the client using one of the following methods:
# Using environment variables from .env file
python client/agno_client.py
# Using command line arguments
python client/agno_client.py --host localhost --port 8001
# Using a combination (command line arguments take precedence)
MCP_HOST=localhost MCP_PORT=8001 python client/agno_client.py --host otherhost --port 9000
Running the Google ADK Client
- 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 (rungcloud auth application-default login
). - Start the client using one of the following methods:
# 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:
- Command-line arguments (highest precedence)
- Environment variables
.env
file variables
Configuration options:
- Environment variables:
MCP_HOST
andMCP_PORT
- Command-line arguments:
--host
and--port
.env
file variables:MCP_HOST
,MCP_PORT
,OPENAI_API_KEY
, andGOOGLE_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
-
The client will automatically connect to the MCP server using the provided configuration.
-
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"
-
To exit the client, type 'quit' when prompted.
Development
Project Structure
client/agno_client.py
: MCP client implementation using Agnoclient/google_adk_client.py
: MCP client implementation using Google ADKserver.py
: MCP server implementation with Zerodha API integrationgenerate_token.py
: Utility for generating access tokensrequirements.txt
: Project dependencies.env
: Environment configuration
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Acknowledgments
- Built using Agno
- Built using Google ADK
- Uses MCP for standardized communication
- Powered by KiteConnect for Zerodha API integration