iflow-mcp_rohandoshi21_angelone-mcp 0.1.7

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Angel One MCP (Model Context Protocol)

This repository contains the Model Context Protocol implementation for Angel One trading platform, allowing you to interact with Angel One's trading APIs to get history data and get portfolio data.

Prerequisites

• Python 3.10
• Angel One trading account
• API credentials from Angel One

Installation

1. Clone the repository:

git clone https://github.com/yourusername/angelone-mcp.git
cd angelone-mcp
git submodule update --init --recursive

2. Create a virtual environment (recommended):

python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the required dependencies:

curl -LsSf https://astral.sh/uv/install.sh | sh

uv pip install -r requirements.txt

Configuration

1. Create a test_credentials.py file in the root directory with your Angel One credentials:

# test_credentials.py
API_KEY = "your_api_key"
CLIENT_CODE = "your_client_code"
PASSWORD = "your_password"
PIN = "your_pin"
TOKEN = "your_token"  # Optional

Usage

1. You can start api.py as an mcp server to your mcp client

{
    "mcp": {
        "servers": {
            "angleone": {
                "command": "/Users/rohandoshi/.local/bin/uv",
                "args": [
                    "--directory",
                    "/Users/rohandoshi/Development/angelone-mcp",
                    "run",
                    "api.py"
                ]
            },
        }
    }
}

Results