Qlik MCP Server

The Qlik MCP Server bridges the gap between AI assistants like Claude and Qlik Cloud’s powerful analytics platform. By exposing a suite of tools that mirror the core capabilities of the Qlik Cloud API, it lets conversational agents retrieve, analyze, and even manipulate data directly from Qlik applications. This eliminates the need for manual API calls or custom code, enabling developers to embed live business intelligence into AI‑driven workflows with minimal friction.

At its core, the server offers a set of focused tools that map to common Qlik operations: listing available applications, enumerating sheets within an app, discovering charts on a sheet, and pulling raw chart data. Each tool accepts straightforward parameters—such as app or sheet identifiers—and returns structured JSON that Claude can parse and incorporate into responses. For example, a user can ask the assistant to “show me the sales trend chart from App 42,” and the server will fetch the relevant chart’s data, allowing the assistant to generate insights or visual summaries on demand.

Key features include:

• Dynamic pagination and limits for app, sheet, and chart listings, ensuring efficient data retrieval even in large tenants.
• Configurable row limits for chart data extraction, balancing performance with completeness while respecting tenant rate limits.
• Metadata inclusion that preserves chart context (type, position, title), enabling richer AI explanations.
• Environment‑driven defaults (e.g., ) that simplify tool calls by reducing repetitive arguments.

Developers can leverage this server in a variety of real‑world scenarios. In a data‑science team, Claude can pull the latest KPI visualizations during stand‑ups, providing instant context without opening Qlik. In a sales enablement setting, the assistant can generate on‑the‑fly dashboards for client meetings. For compliance and audit purposes, automated reports can be generated by querying historical chart data through the MCP interface. The server’s lightweight Docker and Deno support make it easy to deploy behind existing infrastructure, while its clear error handling (e.g., 401/403 checks) helps maintain secure operations.

By integrating the Qlik MCP Server into AI workflows, developers unlock a seamless conduit between conversational agents and enterprise analytics. This not only accelerates insight generation but also democratizes access to sophisticated data visualizations, empowering teams to make evidence‑based decisions in real time.