Qlik MCP Server

A comprehensive MCP (Model Context Protocol) server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Features

• 🔌 Direct WebSocket connection to Qlik Sense Enterprise
• 🔐 Certificate-based authentication with SSL security
• 📦 VizlibContainer support with embedded object extraction
• 🔗 Master Item resolution automatically resolves references to full expressions
• 🔍 BINARY LOAD detection automatically extracts and analyzes BINARY dependencies
• 📊 Advanced Script Analysis with section parsing, variable extraction, and statement counting
• 📊 9 comprehensive tools covering all major Qlik Sense objects:
  • 📋 List all available applications with metadata
  • 📊 Retrieve measures with expressions and tags
  • 🔧 Retrieve variables with definitions and configurations
  • 📊 Retrieve fields and complete data model information
  • 📄 Retrieve sheets with metadata and properties
  • 🎨 Retrieve visualization objects from sheets with detailed properties
  • 📐 Retrieve dimensions with grouping and metadata
  • 📜 Retrieve and analyze data loading scripts with BINARY LOAD extraction
  • 🔗 Retrieve data sources and lineage information
• 🤖 MCP-compatible for use with Claude Desktop and other AI tools
• ⚡ Production-ready with comprehensive error handling
• 🧪 Extensively tested with real Qlik Sense applications

Why This Matters

🎯 Business Impact: This MCP server bridges the gap between Qlik Sense's powerful analytics and modern AI assistants, enabling:

• 10x faster insights - Natural language queries replace complex Qlik Sense expressions
• Democratized analytics - Non-technical users can explore Qlik data through conversation
• Automated documentation - AI can instantly analyze and document your entire Qlik application structure
• Enterprise-ready integration - Production-grade WebSocket connections with certificate-based security

💡 Use Cases:

• Automated QA: AI assistants can validate measures, dimensions, and data models
• Documentation Generation: Automatically create comprehensive app documentation
• Migration Analysis: Assess complexity before Qlik app migrations or upgrades
• Governance Auditing: Review variables, scripts, and data sources for compliance

🛠️ Modern Development Stack

This project uses industry-standard tools for reliability and maintainability:

• 🚀 UV: Fast, reliable Python package management and virtual environment handling
• 🧹 Ruff: Lightning-fast Python linter and formatter with automated code quality
• 🧪 Pytest: Professional testing framework with unit/integration test separation
• 🤖 GitHub Actions: Automated CI/CD with matrix testing across Python versions
• 📦 FastMCP: Modern MCP server framework with Pydantic validation

Prerequisites

• Python 3.10+ (required for FastMCP)
• UV package manager (strongly recommended - handles everything automatically)
• Access to Qlik Sense Enterprise server
• Valid Qlik client certificates (see Certificate Setup Guide)
• MCP-compatible client (e.g., Cursor IDE, VS Code, Claude Desktop)

Quick Start

1. Installation

# Clone the repository
git clone https://github.com/arthurfantaci/qlik-mcp-server.git
cd qlik-mcp-server

# Install with UV (strongly recommended)
curl -LsSf https://astral.sh/uv/install.sh | sh  # Install UV if not already installed
uv sync  # Creates virtual environment and installs all dependencies automatically

Why UV? UV provides faster, more reliable dependency management with automatic virtual environment handling, lockfile generation for reproducible builds, and seamless integration with m

... View full README on GitHub