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Angel One MCP (Model Context Protocol)

Angel One MCP (Model Context Protocol)

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github.com/RohanDoshi21Finance10Updated 78w ago

About Angel One MCP (Model Context Protocol)

An MCP server for Angel One trading account users that accesses its trading APIs to retrieve historical and portfolio data. It requires Python 3.10, an Angel One account, and API credentials.

Key features

  1. 01Retrieve trading history
  2. 02Retrieve portfolio data
  3. 03Call trading APIs through an MCP client

Use cases

  1. 01Review Angel One account history
  2. 02Check an Angel One portfolio

MCP support

Run as an MCP server, it lets MCP clients interact with Angel One trading APIs to retrieve historical and portfolio data.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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
  1. Create a virtual environment (recommended):
python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
  1. 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

Screenshot 2025-04-29 at 11 35 09 PM Screenshot 2025-04-29 at 11 37 03 PM

Comments

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