Qlik Cloud Development with Claude Desktop and MCP Servers

Exploring MCP Servers with Claude Desktop: A New Frontier for Qlik Developers.

I'm excited to share a proof-of-concept project that explores an emerging technology with significant potential for Qlik Cloud developers: Model Context Protocol (MCP) Servers integrated with Claude Desktop.

What Did We Build?

We integrated three MCP Servers into Claude Desktop to demonstrate how AI assistants can interact with our development ecosystem:

1. IPDF Agent - Qlik MCP Server Edition - Our custom-built Qlik Cloud MCP server exposing Qlik Cloud API endpoints

2. Atlassian MCP Server - For seamless Confluence documentation access

3. Snowflake MCP Server - For direct database connectivity and queries

Why Should Qlik Developers Care?

MCP (Model Context Protocol) is Anthropic's open standard that allows AI assistants to securely connect to data sources and tools. For Qlik developers, this means:

• Natural language queries to your data warehouses

• Quick access to technical documentation without context switching

• Programmatic interaction with Qlik Cloud APIs through conversational AI

• Potential for AI-assisted app development, data modeling, and troubleshooting

Qlik Cloud MCP: The Art of Possible

This project demonstrates that we're not just keeping pace with emerging AI technologies - we're actively implementing them in the Qlik ecosystem. While this is a proof-of-concept, it opens the door to exciting possibilities for developer productivity and AI-enhanced analytics workflows.

Watch the full video: 

I'd love to hear your thoughts! Have you experimented with MCP Servers or AI-assisted development tools? What use cases would be most valuable for your Qlik workflows?