Access the Quran API from alquran.cloud to retrieve accurate Quranic text and reduce LLM hallucinations.
MCP server to help LLMs to get access to Quran API (https://alquran.cloud/api) to prevent the hallucination with Quran text.
hallucination is a big problem specially when you are working on sensitive data that each character is important.
one way of reducing the hallucination is by providing the context to your LLM but of course with large chunk of text like the holy Quran it's not efficient if you put all text in each request.
So, in this repo I have created an MCP server that's connect your LLM to a free API https://alquran.cloud/api that enables your model to retrieve only the data he needs.
Also, I will show to you how we can connect this MCP server to Claude desktop application.
make sure you have python 3.13 & pip
Open your terminal and write these commands
git clone https://github.com/marwanWaly/quran_cloud_mcp_server.git
cd quran_cloud_mcp_server
python -m venv .venv
On Windows
.\venv\Scripts\activate
On Mac or linux
source .venv/bin/activate
Use the package manager pip to install requirements.txt.
pip install -r requirements.txt
OPENAI_API_KEY=Your-secret-key
python client.py
now you can directly chat with GPT4o in your terminal
Download Claude desktop and open it
Select setting from the file menu
Click on Developer
then Edit Config
Open claude_desktop_config.json
Write this configuration in the file
{
"mcpServers": {
"Search-Quran": {
"command": "python",
"args": [
"PROJECT_PATH_ON_YOUR_PC\\server.py"
],
"host": "127.0.0.1",
"port": 8080,
"timeout": 30000
}
}
}
Don't forget to replace PROJECT_PATH_ON_YOUR_PC
with the absolute path to your project server
Restart Claude app (make sure it's completely closed from your taskbar by right click on Claude icon and select Quit
)
Check if the new MCP has been added
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