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Qlik MCP SERVER

Connect Any AI to Your Trusted Data and Analytics

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The “hallucination gap” – where AI lacks business context – is the primary barrier to AI success. The Qlik MCP (Model Context Protocol) Server bridges this by securely connecting any AI ecosystem to Qlik’s trusted data and associative engine. This open integration layer allows third-party systems like ChatGPT or Claude to leverage Qlik’s verified logic and real-time calculations. Instead of guessing or writing SQL, AI uses Qlik to perform the math, ensuring accurate, governed “reasoning” across any AI platform

Experience Qlik MCP in action

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Seamless AI-to-Data Interoperability

Qlik’s MCP Server eliminates the complexity of “stitching together” disconnected data sources for AI consumption. By exposing Qlik’s APIs and analytics engine through a standardized protocol, AI agents can perform fast calculations and incremental reasoning directly on your business data. This allows AI to leverage Qlik’s unique associative technology to explore data and understand outcomes at scale, without needing to manage the underlying data architecture manually.
  • Unified Access: Connect any AI platform to Qlik’s trusted data products through a single server.
  • Direct Calculation: Let AI use Qlik’s engine to “do the math” instead of relying on language model inferences.
  • Smarter Automation: Enable AI to drive efficient workflows based on real-time analytical insights.
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Governed Reasoning Without Hallucinations

One of the primary risks of AI in the enterprise is the lack of a “single source of truth.” The MCP Server ensures that every decision made by an AI agent is grounded in governed, verified data. By providing AI with the same business context used by human analysts, Qlik reduces the risk of hallucinations and ensures that AI-generated insights are accurate, compliant, and context-aware, regardless of the LLM being used.
  • Context-Aware AI: Provide AI with the full business logic and metadata managed in Qlik.
  • Eliminate Guesswork: Ensure AI decisions are grounded in real, governed data, not probability.
  • High Trust: Build confidence in AI outcomes by using the same verified metrics across the board.
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Platform-Agnostic AI Scaling

The Qlik MCP Server is built for an open world, meaning you are not locked into a single AI vendor or approach. You can bring Qlik’s trusted intelligence into ChatGPT today and switch to Claude or a custom-built agent tomorrow. This flexibility allows organizations to scale their AI strategy on their own terms, delivering trusted intelligence wherever it adds the most value while maintaining a centralized layer of governed data.
  • Vendor Flexibility: Connect to diverse AI ecosystems like OpenAI, Anthropic, or internal LLMs.
  • Future-Proof Strategy: Scale your AI initiatives without being locked into a single platform.
  • Low Cost of Integration: Use a standardized protocol to reduce the time and expense involved with custom AI connectors.

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How Organizations Drive Results with Qlik

Strategic Executive Support

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Strategic Executive Support

Global leadership teams can now integrate their custom AI assistant with Qlik MCP. AI answers complex financial questions, such as: “What is our current margin compared to budget in the DACH region?”, by pulling verified data directly from Qlik, ensuring the executive team acts on 100% accurate information.

Intelligent Sales Automation

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Intelligent Sales Automation

High-tech companies can now connect their CRM-based AI agents to Qlik’s product intelligence through MCP. Agents proactively identify upsell opportunities by using Qlik’s engine to analyze customer purchase patterns. This can result in a 15% increase in lead conversion rates.

Operational Risk Management

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Operational Risk Management

Supply chain providers can now use Qlik MCP to ground their logistics AI. When an AI agent detects a potential delay, it uses the MCP server to “ask” Qlik for the impact on the entire backlog, allowing the AI to propose a solution that is factually accurate and optimized for current inventory levels.

Start leveraging AI with the right business context

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