Qlik MCP Server

**Description**
Connect your agents to your governed Qlik Cloud data using tools for data retrieval, exploration, lineage, and natural-language querying. Expose your governed and trusted data, powered by Qlik’s associative engine, to any MCP-compatible client. Instead of rebuilding your data and analytics logic in new places, your agents work directly with your existing master items, expressions, and data models.

**Use cases**
- **Agentic analytics workflows** – Query and aggregate data across Qlik applications using existing master measures, dimensions, and expressions within agent-driven automation.
- **Dynamic data exploration**– Apply data selections to explore data in real time, leveraging the associative engine to maintain context across your entire data model.
- **Data enrichment for AI pipelines** – Pull governed, curated data from Qlik data products into downstream models and automations.

- **Natural language data access**– Ask questions against your Qlik data in plain language and get data-rich answers back in your agent.

- **App building and visualization**– Create new sheets, add charts, and build master dimensions and measures directly from your agent.

- **Metadata and catalog discovery** – Explore datasets, fields, master items, data products, and more programmatically to build context-aware agent behavior.

**Requirements**
- Active Qlik Cloud tenant with appropriate MCP user permissions. Don’t have one? Start a free 30-day trial (no credit card required): https://www.qlik.com/us/trial/qlik-cloud-analytics
- OAuth-based authentication required.
- API keys are not allowed.

**Other details**
- How to set up the Qlik MCP server: https://help.qlik.com/en-US/cloud-services/Subsystems/Hub/Content/Sense_Hub/QlikMCP/Qlik-MCP-server.htm
- How to connect your Databricks workspace to Qlik MCP Server - https://tour.qlik.com/share/qlik-mcp-databricks
- How to use Qlik MCP tools using Playground - Add Qlik MCP server as a tool in Playground to interact with it