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
基本情報
Local MCP server connecting to Angle One SDK
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcpserver-AngleOne": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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