I had a chance to use our new MPC server and I am blown away.
Let me know how you plan on using Qlik MCP Server when it is available.
"AI is transformative, but it’s only as good as the data it can access and the means it has to unlock it. Qlik’s MCP server provides a full set of tools that allow external LLMs to tap into Qlik’s unique capabilities for data and analytics—so AI can take advantage of our data products foundation and analytics engine to deliver powerful insight and automate tasks and workflows.
We are already extensively using our own Qlik MCP Server, almost in a daily basis, by different departments. We use it to document Qlik Cloud Tenants, plan migrations, data capacity consumption, incremental load strategies, app creation, app quality validation, extending Qlik Answers and Qlik Predict, etc.
Our Qlik MCP is limited comparing to what is coming on but it is already so powerful and useful. I'm very excited about the official Qlik MCP Server!
As a data analyst I want to let the MCP help me build apps and sheets faster.
As a user I want to get answers that probably cannot be answered by a single app because we have different metrics in different apps, so the agent can get data from multiple apps , combine them and show me some insights.
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Hey Mark!! Thanks for sharing this! Always a pleasure to hear from you - hear and on LinkedIn. You introduced me to your first MCP server you built and I was completely blown away.
It’s awesome to hear how much you’re already getting out of it. Even with a few limitations, it sounds like it’s been really valuable for your teams, so your excitement for the official Qlik MCP Server totally makes sense. With the new features coming, it should only build on what you’re already doing.
Really appreciate the insight—always great to see teams pushing the platform forward even before the official release.
Hey Pablo - exactly! Qlik MCP Server is so much more than automating the building of apps and answering analytical questions or triggering processes.
I used Qlik MCP to track down a discrepancy between my total sales in the source system and the totals Qlik was showing—something just wasn’t adding up. The difference was only 33 cents. Thirty-three cents! I asked Qlik MCP why this was happening, and it immediately analyzed my data model and pointed out my tax data fields - it showed that I was using the order-level tax line which is aggregated differently in shopify, instead of the individual county and surtax lines—which accounted for the missing $0.33. Finding that manually would have taken me a lot longer.
I see one of the main benefits of this technology as solving a very real problem we face today: no matter how many dashboards, data models, and visual analyses we deliver to users, there is often still a lack of actual analysis happening. Even when the visualization is intuitive and designed as a ‘story’, the real value still depends on the user looking at it, exploring, and interpreting what it means. With MCP and agent-based technology, I believe it becomes possible to automate a large part of that work: scenario simulations, applying filters, running comparisons, exploring correlations — basically the kinds of steps an experienced analyst would take — and then returning conclusions and insights from that process.
Another very clear benefit is the practicality this brings to self-service analytics. Today, even with training and enablement programs, adoption of true self-service isn’t easy. It's still extremely common for users to export data to Excel and do their analysis there. With this technology, building visualizations becomes simple enough that Excel starts to feel like a limited tool in comparison.
I imagine that, for instance, we could employ it to enhance customer engagement through intelligent chatbots that operate across multiple touchpoints, or to optimize operational efficiency by automating repetitive tasks and workflows. Or to interface with various data sources, such as IoT sensors, social media, and enterprise systems, to derive insights from diverse datasets...
From what I gather it does not build the application, it reads from the application and other data sources directly i.e. you would still require an application and a Answers subscription I suppose.
Raptor AI Assistant for Qlik Cloud generates real-time specifications, quality applications (script, expressions, updates master items, visualizations) and insights from the application.
Raptor AI Assistant for Qlik Cloud generates the quality Qlik application which would be beneficial for the MCP application related queries results to improve substantially.
We're launching an affiliate partnership model by end of January for all Qlik Certified partners.
Question: Will the MCP require Qlik Answers annual subscription activation?
