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Apr 8, 2026 8:23:15 AM
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This article provides answers to the most frequent questions asked about Qlik MCP.
For the more general Qlik Answers FAQ, see Qlik Answers Agentic Analytics FAQ.
Qlik Model Context Protocol (MCP) server integrates Qlik Cloud into your LLM workflow, allowing you to work with Qlik Cloud using your LLM without having to leave your LLM. Connection issues will often be tied to misconfiguration.
Qlik MCP does not support clients with Client Secrets.
In a case where you do not get the response you expect based on the sources, or you receive an error:
Has your app been prepared for Qlik Answers?
For now, Qlik MCP will continue to be priced based on current models for the number of questions asked. You get capacity at corresponding levels in Standard, Premium, and Enterprise editions, as well as Qlik Sense Enterprise SaaS. There is currently no additional cost for structured data questions or task automation requests; a question is a question.
Use of the MCP server consumes questions when Qlik is accessed using Tool Calls. A Tool Call is a request made by the LLM to interact with Qlik's capabilities, such as, but not limited to, querying databases, calling APIs, or performing computations. These are typically visible in the LLM's log.
For Qlik's MCP server, 5 Tool calls consume 1 question. More questions may be purchased for expanded use cases.
See Pricing and the Qlik MCP server product description for details.
Qlik’s pricing does not include your chosen LLM subscription or usage, which will need to be paid separately.
Yes. Qlik MCP works on top of existing Qlik Sense applications and uses the same data, logic, and security model.
But to get the best experience, apps should be prepared beforehand:
Your Qlik Cloud subscription determines the quota of questions asked by users. If you are licensed for Qlik Answers, both MCP and Qlik Answers will use your monthly question capacity. See Administering Qlik MCP server.
Question capacity quotes are per month and reset every month. When you hit your limit, users can no longer ask questions until the next month. Overage is only allowed, depending on your subscription. For more information, see Qlik MCP server product description.
For more information on overage, see Overage.
Features can be turned off for individual users through user scopes.
Does using MCP require enabling cross-region data processing?
The french help section says yes (https://help.qlik.com/fr-FR/cloud-services/Subsystems/Hub/Content/Sense_Hub/QlikMCP/Qlik-MCP-server....), but the english help section says no (https://help.qlik.com/en-US/cloud-services/Subsystems/Hub/Content/Sense_Hub/QlikMCP/Qlik-MCP-server....).
Thanks a lot.
Amélie
Hello @arychener
I do believe we are decoupling MCP from cross-region inference, but please allow me some time to clarify this for you. I'll tag you when I know more!
All the best,
Sonja
Hello @arychener
I can now confirm that cross-region inference is no longer required for MCP. Will look into getting the documentation updated accordingly.
All the best,
Sonja
Thanks a lot @Sonja_Bauernfeind for your quick answer!
We are currently evaluating the Qlik MCP Server in combination with external AI assistants (e.g., Claude) and are facing uncertainty regarding access to unstructured data.
While Qlik Answers clearly provides access to unstructured data through indexed knowledge bases and assistants, it is not fully clear from the official documentation to what extent these capabilities are exposed via the MCP Server.
In our setup, we observe MCP tools such as qlik_answers_ask_question, which suggests that external assistants may be able to interact with Qlik Answers indirectly. However, this integration is not explicitly or consistently documented in publicly available Qlik resources.
As a result, we are uncertain whether:
We are therefore seeking clarification on the intended and officially supported architecture for accessing unstructured data in Qlik Cloud via MCP.