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Prokerala Astrology MCP Server

@sajithamma

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

sajithamma

关于 Prokerala Astrology MCP Server

MCP (Model Context Protocol) Server for ProKerala Astrology API

#prokerala#astrology#api#mcp-server

Prokerala Astrology MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "prokerala-mcp-server": {
      "command": "python",
      "args": [
        "testclient.py"
      ]
    }
  }
}

Prokerala Astrology MCP Server 工具

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。

概览

What is Prokerala Astrology MCP?

An MCP server that integrates the Prokerala API to provide Vedic astrology services such as horoscopes, panchang details, and compatibility analysis. It offers both command-line and web interfaces for developers and astrology enthusiasts.

How to use Prokerala Astrology MCP?

Clone the repository, set up a Python 3.12+ virtual environment, install dependencies, and create a .env file with your Prokerala API credentials and OpenAI API key. Start the server with fastmcp run coremcp.py:mcp --transport sse, then run the test client (python testclient.py) or the Chainlit web UI (chainlit run ui.py).

Key features of Prokerala Astrology MCP

  • Vedic astrology consultations and daily horoscope readings
  • Panchang details (tithi, nakshatra, yoga)
  • Kundli matching and compatibility analysis
  • Manglik Dosha analysis
  • Multiple interfaces: CLI and Web UI (Chainlit)
  • Support for multiple Indian languages

Use cases of Prokerala Astrology MCP

  • Get personalized daily horoscopes for any zodiac sign
  • Perform compatibility checks (porutham) for prospective couples
  • Analyze birth chart planetary positions and doshas
  • Retrieve daily panchang details for ritual scheduling
  • Build an AI-powered astrology assistant using the MCP tools

常见问题

1

What dependencies are required?

Python 3.12 or higher, pip, and a virtual environment. Dependencies are listed in `requirements.txt`.

2

How do I set up API credentials?

Create a `.env` file with `OPENAI_API_KEY`, `CLIENT_ID`, `CLIENT_SECRET`, and `TOKEN_FILE_PATH` (path to store the access token).

3

What transport does the server use?

The server runs with SSE transport on `http://localhost:8000`. Clients connect via `MCPServerSse`.

4

What if I get authentication errors?

Verify your API credentials in the `.env` file and ensure the token file has proper permissions.

5

How should I format dates for API calls?

Use the format `YYYY-MM-DD HH:MM AM/PM`. The system automatically converts for API calls.

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