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Zerodha MCP
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Zerodha MCP

A Python-based trading assistant that connects through the Zerodha MCP server to help users manage trading accounts, providing a natural language interaction interface and various trading functions.
FinanceArtificial intelligence chatbots#Trading assistant#Zerodha#MCP protocol#Python.Python
2.5 points
23

What is the Zerodha MCP service?

This is a Python-based trading assistant that connects to the Zerodha trading platform through the Model Context Protocol (MCP) standard, allowing users to manage trading accounts, query positions, and place orders using natural language.

How to use the Zerodha MCP service?

1. Install the Python environment and configure the API key. 2. Start the MCP server. 3. Connect to the server through the client (command line or web page). 4. Perform trading operations using natural language instructions.

Applicable scenarios

Suitable for individual investors who need to simplify the trading process, beginners in quantitative trading, and users who want to manage their Zerodha accounts through natural language interaction.

Main features

Account managementView and manage Zerodha trading account information, funds, and positions.
Natural language interactionUse everyday language to query account status or place trading instructions without memorizing complex commands.
Order managementSupport the complete trading lifecycle management, such as placing, modifying, and canceling orders.
Multi-client supportProvide multiple access methods, including command line, web interface, and API integration.

Advantages and limitations

Advantages
Manage trading through natural language without programming knowledge
A unified interface supports multiple access methods (command line/web/API)
Based on the standard MCP protocol, easy to integrate with other systems
Get real-time account information and market data
Limitations
Require Zerodha API access permission
Rely on third-party AI services (OpenAI/Gemini) for natural language processing
Limited advanced quantitative trading functions

How to use

Environment preparation
Install Python 3.x and create a virtual environment.
Install dependencies
Install necessary Python packages.
Configure API keys
Set the API keys for Zerodha and AI services in the.env file.
Start the server
Run the server program.
Connect the client
Select the command line or web client to connect to the server.

Usage examples

Query account informationAn investor wants to know the current account balance and position status.
Quick tradingA user wants to buy a certain stock immediately.
Risk managementCheck the current account risk exposure.

Frequently Asked Questions

How to obtain the Zerodha API key?
What types of orders are supported?
What is the data update frequency?
Does it support automated trading?

Related resources

Zerodha API documentation
Official Zerodha API documentation
MCP protocol official website
Model Context Protocol standard documentation
GitHub repository
Project source code
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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