Advertise
MCP.so
Sign In

Prokerala Astrology MCP Server

@sajithamma

Repository

Basic information

Category

Other

Transports

stdio

Author

sajithamma

About Prokerala Astrology MCP Server

MCP (Model Context Protocol) Server for ProKerala Astrology API

#prokerala#astrology#api#mcp-server

Prokerala Astrology MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Prokerala Astrology MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

More Other MCP servers

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Awesome Mlops

visenger

A curated list of references for MLOps

14.0K

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K

Yuppsy

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

Advertise