# Qlik Sense

> Use this tool when you need to interact with Qlik Sense applications, data models, and analytics objects programmatically, solving business intelligence workflow challenges such as querying data models, analyzing metadata, and automating tasks. It provides access to Qlik Sense Enterprise APIs through REST and WebSocket endpoints, supporting certificate-based authentication and enabling direct data extraction and management. Ideal for use cases where automation of Qlik Sense tasks and data analysis is required, streamlining workflows and improving efficiency.

Canonical page: https://skillsregistry.net/skills/bintocher-qlik-sense  
JSON: https://api.skillsregistry.net/v1/skills/bintocher-qlik-sense

## Description

Provides access to Qlik Sense Enterprise APIs through both Repository API (REST) and Engine API (WebSocket) endpoints, enabling AI assistants to interact with Qlik Sense applications, data models, and analytics objects. Built by Stanislav Chernov, it supports certificate-based authentication and offers tools for managing apps, users, streams, and tasks through the Repository API, while the Engine API enables direct data extraction, hypercube creation, field analysis, and script access. The server is particularly valuable for business intelligence workflows where users need to query Qlik Sense data models, analyze application metadata, extract table data, or automate reload tasks without manually navigating the Qlik interface.

## Trust

- **Trust score (0–1):** 0.20
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bintocher-qlik-sense)
- **Repository:** <https://github.com/bintocher/qlik-sense-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bintocher-qlik-sense"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bintocher-qlik-sense` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bintocher-qlik-sense/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt