What is the purpose of this MCP server?
It connects LLMs to the Quran API to prevent hallucination when dealing with Quran text.
@marwanWaly
Basic information
MCP server to help LLMs to get access to Quran API (https://alquran.cloud/api).
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Search-Quran": {
"command": "python",
"args": [
"PROJECT_PATH_ON_YOUR_PC\\server.py"
],
"host": "127.0.0.1",
"port": 8080,
"timeout": 30000
}
}
}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.
A Model Context Protocol (MCP) server that connects large language models to the free Quran API (alquran.cloud) to retrieve accurate Quranic text and reduce hallucination. It is designed for developers working with sensitive Quran data where each character matters.
Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, create a .env file with your OPENAI_API_KEY, then run python client.py to chat with GPT‑4o in the terminal. To connect to Claude Desktop, edit claude_desktop_config.json by adding an MCP server entry pointing to server.py (host 127.0.0.1, port 8080) and restart Claude.
It connects LLMs to the Quran API to prevent hallucination when dealing with Quran text.
Clone the repo, create a Python venv, install requirements, create a `.env` file with your `OPENAI_API_KEY`, then run `python client.py`.
Edit the Claude Desktop config file (`claude_desktop_config.json`) to add an MCP server entry pointing to `server.py` with host `127.0.0.1` port `8080`, then restart Claude.
Python 3.13, pip, and packages listed in `requirements.txt`. An OpenAI API key stored in `.env` is also required.
Yes, an `OPENAI_API_KEY` must be set in the `.env` file to communicate with GPT‑4o.
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