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Angel One MCP (Model Context Protocol)

@RohanDoshi21

代码仓库

关于 Angel One MCP (Model Context Protocol)

暂无概览

#angleone#mcp#trading-api

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

RohanDoshi21

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "angleone-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

工具

未检测到工具

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。

概览

What is Angel One MCP?

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.

How to use Angel One MCP?

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.

Key features of Angel One MCP

  • Retrieves historical trading data
  • Retrieves portfolio data
  • Requires Python 3.10
  • Uses Angel One trading API credentials
  • Runs as an MCP server via uv

Use cases of Angel One MCP

  • Fetch historical price data for backtesting or analysis
  • View current portfolio holdings or positions

FAQ from Angel One MCP

What are the prerequisites?

Python 3.10, an Angel One trading account, and API credentials from Angel One.

How do I configure my credentials?

Create a test_credentials.py file in the root directory with the fields API_KEY, CLIENT_CODE, PASSWORD, PIN, and optionally TOKEN.

How do I run the server?

Add the server configuration to your MCP client, using uv as the command and pointing to the api.py file in the cloned directory.

Is the TOKEN field required?

No, it is optional.

What data can I access?

The server provides access to historical data and portfolio data via the Angel One trading API.

评论

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