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Angel One MCP (Model Context Protocol)

Angel One MCP (Model Context Protocol)

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github.com/ankushCodeXFinance0Updated 74w ago
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About Angel One MCP (Model Context Protocol)

Angel One MCP is a local server for developers and traders who use the Angel One trading platform. It connects MCP clients to the platform’s APIs for historical and portfolio data.

Key features

  1. 01Access historical trading data
  2. 02Retrieve portfolio data
  3. 03Connect to Angel One APIs locally

Use cases

  1. 01Review historical market data in an MCP client
  2. 02Check portfolio data through an MCP client

MCP support

It runs as a local MCP server and exposes access to Angel One trading APIs for historical and portfolio data.

#mcpserver#angleone#trading-api

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)

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

  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: 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

  1. 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

  1. You can start api.py as an mcp server to your mcp client:
  2. If using Anthropic Desktop configuration update cloud_desktop_config.json. Local configuration file path can be found under settings > Developer > Edit Settings
  3. 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"
        ]
      }
    }
  }

Configuration Test -- Snapshots

image image

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