What are the prerequisites?
Python 3.10, an Angel One trading account, and API credentials from Angel One.
@RohanDoshi21
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"angleone-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
uvPython 3.10, an Angel One trading account, and API credentials from Angel One.
Create a `test_credentials.py` file in the root directory with the fields `API_KEY`, `CLIENT_CODE`, `PASSWORD`, `PIN`, and optionally `TOKEN`.
Add the server configuration to your MCP client, using `uv` as the command and pointing to the `api.py` file in the cloned directory.
No, it is optional.
The server provides access to historical data and portfolio data via the Angel One trading API.

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