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
基本信息
Local MCP server connecting to Angle One SDK
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcpserver-AngleOne": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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