Angel One MCP (Model Context Protocol)

Name: Angel One MCP (Model Context Protocol)
Author: RohanDoshi21

@RohanDoshi21

Repository

About Angel One MCP (Model Context Protocol)

No overview available yet

#angleone #mcp #trading-api

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "angleone-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Angel One MCP?

Angel One MCP is a Model Context Protocol server that integrates with the Angel One trading platform, enabling users to retrieve historical market data and portfolio information through Angel One’s trading APIs. It is intended for traders and developers who hold an Angel One account and API credentials.

How to use Angel One MCP?

Install Python 3.10, clone the repository, initialize submodules, create a virtual environment, install dependencies with uv, and configure your credentials in a test_credentials.py file in the root directory. Then run api.py as an MCP server using the uv command, specifying the directory and script in your MCP client configuration.

Key features of Angel One MCP

Retrieves historical trading data
Retrieves portfolio data
Requires Python 3.10
Uses Angel One trading API credentials
Runs as an MCP server via uv

Use cases of Angel One MCP

Fetch historical price data for backtesting or analysis
View current portfolio holdings or positions

FAQ from Angel One MCP

What are the prerequisites?

Python 3.10, an Angel One trading account, and API credentials from Angel One.

How do I configure my credentials?

Create a test_credentials.py file in the root directory with the fields API_KEY, CLIENT_CODE, PASSWORD, PIN, and optionally TOKEN.

How do I run the server?

Add the server configuration to your MCP client, using uv as the command and pointing to the api.py file in the cloned directory.

Is the `TOKEN` field required?

No, it is optional.

What data can I access?

The server provides access to historical data and portfolio data via the Angel One trading API.

Comments

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