What are the prerequisites?
Python 3.10, an Angel One trading account, and API credentials from Angel One.
@RohanDoshi21
基本情報
概要はまだありません
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": {
"angleone-mcp-server": {
"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 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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Model Context Protocol Servers
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