Quran Cloud
Access the Quran API from alquran.cloud to retrieve accurate Quranic text and reduce LLM hallucinations.
quran_cloud_mcp_server
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.
Example of Claude the original response

Example of Claude the new response after connecting to Search-Quran MCP server

Installation
make sure you have python 3.13 & pip
Open your terminal and write these commands
Cloning
git clone https://github.com/marwanWaly/quran_cloud_mcp_server.git
Move to project directory
cd quran_cloud_mcp_server
Create virtual environment
python -m venv .venv
Activate venv
On Windows
.\venv\Scripts\activate
On Mac or linux
source .venv/bin/activate
Python packages installation
Use the package manager pip to install requirements.txt.
pip install -r requirements.txt
Create .env file
OPENAI_API_KEY=Your-secret-key
Run in terminal
python client.py
now you can directly chat with GPT4o in your terminal
Connect the server to Claude Desktop
Download Claude desktop and open it
Step 1
Select setting from the file menu

Step 2
Click on Developer then Edit Config

Step 3
Open claude_desktop_config.json

Step 4
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

Step 5
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

Click on tools icon

Related Servers
ChromaDB MCP
An MCP server for vector storage and retrieval using ChromaDB.
OpenDart-MCP
Access the DART (Data Analysis, Retrieval and Transfer System) API for detailed financial information retrieval and analysis.
Pinot MCP Server
An MCP server for interacting with Apache Pinot, a real-time distributed OLAP datastore.
SEC EDGAR MCP Server
Provides AI assistants with access to the SEC EDGAR database via its API.
Hasura GraphQL
Interact with a Hasura GraphQL endpoint, enabling schema introspection, queries, mutations, and data aggregation.
AWS PostgreSQL MCP Server
A read-only MCP server for querying AWS PostgreSQL databases.
Gralio SaaS Database
Access a comprehensive database of over 30,000 SaaS products, including reviews, pricing, alternatives, and growth metrics.
Momento MCP Server
An MCP server providing a simple interface to Momento's serverless caching service.
GeoServer MCP Server
Connects Large Language Models to the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.
SchemaFlow
Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context through secure SSE connections with three powerful tools: get_schema, analyze_database, and check_schema_alignment.