mcpserver-AngleOne

Name: mcpserver-AngleOne
Availability: InStock
Author: ankushCodeX

mcpserver-AngleOne is a project developed in Python, designed as a server application with specific functionalities. It primarily aims at data processing and integration with APIs, intended for use as a developer tool. However, the documentation is lacking, posing usability challenges for users.

GitHub

GitHub Stars

User Rating

Not Rated

Favorites

Views

Forks

Issues

README

Angel One MCP (Model Context Protocol)

What is MCP:
For detailed understanding follow the blog: https://norahsakal.com/blog/mcp-vs-api-model-context-protocol-explained/

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

Clone the repository:

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

Create a virtual environment (recommended):

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

Install the required dependencies:
Linux/Mac

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

Windows:

irm https://astral.sh/uv/install.ps1 | iex

uv pip install -r requirements.txt

Configuration

Inside api.py file hardcode following parameters with your Angel One credentials:

# test_credentials.py
API_KEY = "your_api_key"
CLIENT_CODE = "your_client_code"
PASSWORD = "PIN"
TOKEN = "your_token"  # Visit https://smartapi.angelbroking.com/enable-totp (copy the code/token below QR)

Usage

You can start api.py as an mcp server to your mcp client:
If using Anthropic Desktop configuration update cloud_desktop_config.json. Local configuration file path can be found under settings > Developer > Edit Settings
If using Cline update MCP servers>Installed>configure MCP Servers and update cline_mcp_settings.json

{
    "mcpServers": {
      "angleone": {
        "command": "C:/Users/<user>/.local/bin/uv",
        "args": [
          "--directory",
          "<local-project-path>/mcpserver-AngelOne/",
          "run",
          "api.py"
        ]
      }
    }
  }