Qlik MCP Server

by jwaxman19

11 stars
215 downloads
Not rated
GitHub

About

Interact with Qlik Cloud applications and extract data from visualizations using the Qlik Cloud API.

Details

Author
jwaxman19
GitHub stars
11
Downloads
215
Categories
Cloud Service, Other, Infrastructure, API

- List all Qlik applications in the workspace
- Get all sheets in a Qlik application
- Retrieve all charts in a specific sheet
- Extract data from a specific chart with pagination
- Supports optional metadata inclusion in chart data
- Configurable rate limiting and retry settings

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Qlik MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Create a Qlik Cloud API key, configure a .env file with QLIK_API_KEY, QLIK_BASE_URL, and optional QLIK_APP_ID. Run the server via Docker, or integrate with Claude Desktop or Cursor using Deno or Node.js. Configure the MCP tool in claude_desktop_config.json or Cursor settings.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "qlik mcp server": {
            "qlik-mcp": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "qlik-mcp",
                    "."
                ]
            }
        }
    }
}

McpServers

{
    "qlik-mcp": {
        "command": "docker",
        "args": [
            "build",
            "-t",
            "qlik-mcp",
            "."
        ]
    }
}

Qlik MCP Server

MCP Server for the Qlik Cloud API, enabling Claude to interact with Qlik applications and extract data from visualizations.

Tools

qlik_get_apps

List all Qlik applications available in the workspace - Optional inputs: - limit (number, default: 100): Maximum number of apps to return - offset (string): Pagination offset for next page - Returns: List of applications with their IDs and information

qlik_get_app_sheets

Get all sheets in a Qlik application - Optional inputs: - app_id (string): The ID of the Qlik application (defaults to QLIK_APP_ID env variable) - Returns: List of sheets with their IDs, titles, and metadata

qlik_get_sheet_charts

Get all charts in a specific sheet - Required inputs: - sheet_id (string): The ID of the sheet to get charts from - Optional inputs: - app_id (string): The ID of the Qlik application (defaults to QLIK_APP_ID env variable) - Returns: List of charts with their IDs, types, and positions

qlik_get_chart_data

Get data from a specific chart - Required inputs: - sheet_id (string): The ID of the sheet containing the chart - chart_id (string): The ID of the chart to get data from - Optional inputs: - app_id (string): The ID of the Qlik application (defaults to QLIK_APP_ID env variable) - max_rows (number, default: 10000): Maximum total rows to retrieve - page_size (number, default: 1000): Number of rows per request - include_metadata (boolean, default: true): Include chart metadata in response - Returns: Chart data with headers, rows, and optional metadata

Setup

Create a Qlik Cloud API Key:

1. Log in to your Qlik Cloud tenant 2. Navigate to Settings > API keys 3. Create a new API key with appropriate access 4. Save the API key securely

Configure Environment:

Create a .env file with your Qlik Cloud credentials (see .env.example for a template):
QLIK_API_KEY=your_api_key_here
QLIK_BASE_URL=your_tenant_url
QLIK_APP_ID=your_default_app_id
MAX_ROWS_PER_REQUEST=1000
MAX_TOTAL_ROWS=10000
REQUEST_DELAY_MS=100
MAX_RETRIES=3
RETRY_DELAY_MS=1000

Usage with Docker

You can also run this MCP server using Docker:

```bash

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