What are the prerequisites for Angel One MCP?
You need Python 3.10, an active Angel One trading account, and API credentials (API key, client code, password, and TOTP token).
@ankushCodeX
Basic information
Local MCP server connecting to Angle One SDK
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcpserver-AngleOne": {
"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 enables interaction with Angel One’s trading APIs to retrieve historical data and portfolio data. It is designed for developers who use MCP-compatible clients (e.g., Anthropic Desktop, Cline) and have an Angel One trading account.
Clone the repository and install dependencies via uv pip install -r requirements.txt. Hardcode your Angel One API credentials (API key, client code, password, token) in api.py, then start the server by configuring your MCP client (e.g., Anthropic Desktop or Cline) to run api.py using uv.
api.py file.uv package manager for dependency management.You need Python 3.10, an active Angel One trading account, and API credentials (API key, client code, password, and TOTP token).
Edit `api.py` and hardcode your API_KEY, CLIENT_CODE, PASSWORD, and TOKEN (obtained from the Angel One TOTP enablement page).
Clone the repository, create a virtual environment, install `uv` using the provided one-liner for your OS, then run `uv pip install -r requirements.txt`.
Update your MCP client’s settings (e.g., `cloud_desktop_config.json` or `cline_mcp_settings.json`) to run `C:/Users/<user>/.local/bin/uv --directory <project-path> run api.py`. — — — —

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