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Qlik Expands MCP Availability across AWS and Databricks Marketplace Bringing Trusted Business Context to Agents

globenewswire.com

Qlik Expands MCP Availability across AWS and Databricks Marketplace Bringing Trusted Business Context to Agents New availability in AWS Marketplace and Databricks Marketplace makes it easier for customers to bring Qlik’s governed data, analytics context, and transformation capabilities into existing AI environments.

Key takeaways:

PHILADELPHIA, Sept. 02, 2026 (GLOBE NEWSWIRE) -- Qlik ® today announced expanded availability of its Model Context Protocol (MCP) server with Amazon Web Services (AWS) and Databricks, making it easier for customers to connect assistants and agents to Qlik’s governed data, analytics context, and transformation capabilities in the tools they already use.

The announcement builds on the general availability of Qlik’s agentic analytics experience and MCP server earlier this year. As enterprises move from AI experimentation to operational use, many are still forcing assistants and agents to work with incomplete business context, duplicated analytics logic, ungoverned and incomplete data. Qlik MCP addresses that problem by exposing governed data access, exploration, lineage, calculations, and selected analytics and data workflows through an open standard. Instead of rebuilding that logic inside every new assistant or agent environment, teams can bring Qlik’s trusted intelligence layer into the AI experiences they are already adopting.

With availability now in AWS Marketplace and Databricks Marketplace, Qlik is extending that trusted intelligence layer into two of the most important environments where customers are building, deploying, and using AI. Databricks customers can now use their Universal Commits to purchase Qlik solutions directly through the Databricks Marketplace.

“Customers are not looking for another standalone AI surface,” said Josh Good, VP, Corporate Strategy at Qlik. “They want the agent frameworks they are already adopting to work with trusted business data, existing metrics, and the logic already embedded in their analytics and data workflows. By expanding Qlik MCP across AWS and Databricks, we are making it easier for customers to bring Qlik’s transformation and analytics strengths into those environments so AI can work with better context, greater efficiency, and more reliable outputs.”

What’s new

Qlik’s expansion across partner ecosystems reflects its broader 2026 strategy: helping customers make data work for AI with trusted data products, a context-rich analytics engine, and an open agentic experience that fits into their existing environments and architectures.

About Qlik

Qlik helps teams get more out of AI with data they can rely on and control. It delivers trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk, keep operating costs in check, and scale AI responsibly as needs evolve. Used by 75% of the Fortune 500, Qlik supports customers worldwide. Qlik works with the systems and partners customers already use, so teams can stay flexible without lock-in.

Media Contact

Keith Parker

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