Prokerala Astrology MCP Server

@sajithamma

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その他

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作者

sajithamma

Prokerala Astrology MCP Server について

MCP (Model Context Protocol) Server for ProKerala Astrology API

#prokerala#astrology #api #mcp-server

Prokerala Astrology MCP Server の設定

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

Prokerala Astrology MCP Server のツール

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。

概要

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

よくある質問

What dependencies are required?

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

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).

What transport does the server use?

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

What if I get authentication errors?

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

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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