What dependencies are required?
Python 3.12 or higher, pip, and a virtual environment. Dependencies are listed in `requirements.txt`.
@sajithamma
Basic information
MCP (Model Context Protocol) Server for ProKerala Astrology API
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"prokerala-mcp-server": {
"command": "python",
"args": [
"testclient.py"
]
}
}
}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.
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.
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).
Python 3.12 or higher, pip, and a virtual environment. Dependencies are listed in `requirements.txt`.
Create a `.env` file with `OPENAI_API_KEY`, `CLIENT_ID`, `CLIENT_SECRET`, and `TOKEN_FILE_PATH` (path to store the access token).
The server runs with SSE transport on `http://localhost:8000`. Clients connect via `MCPServerSse`.
Verify your API credentials in the `.env` file and ensure the token file has proper permissions.
Use the format `YYYY-MM-DD HH:MM AM/PM`. The system automatically converts for API calls.
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