Qlik MCP Server

Qlik MCP Server

Connect Claude AI to Qlik Cloud applications and extract insights via the Model Context Protocol.

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Qlik MCP Server enables integration between Claude AI and Qlik Cloud applications through the Model Context Protocol (MCP). It exposes API tools for listing Qlik apps, retrieving sheets and charts, and extracting chart data programmatically. The server supports deployment via Docker, Deno, or Node.js, and can be configured for use with tools like Claude Desktop and Cursor. The setup emphasizes secure handling of Qlik Cloud credentials and flexible environment configuration.

Key Features

Lists available Qlik applications with pagination support
Retrieves all sheets within a specified Qlik application
Accesses chart metadata and list of charts in specific sheets
Extracts chart data including headers, rows, and metadata
Supports flexible configuration through environment variables
Deployable via Docker, Deno, or Node.js
Integration with Claude Desktop and Cursor environments
Secure setup using API keys and environment files
Customizable rate limiting and retry logic
Sample configuration templates for quick setup

Use Cases

Enabling Claude AI to analyze data directly from Qlik Cloud visualizations
Automating extraction and aggregation of Qlik chart data for AI-driven reporting
Integrating Qlik Cloud data into custom applications via model context protocol
Facilitating business intelligence workflows by programmatically accessing visualization data
Supporting AI-model context with real-world enterprise analytics data
Simplifying Qlik application inventory and metadata management
Streamlining dashboard data retrieval for downstream AI operations
Rapid prototyping of data extraction pipelines for Qlik Cloud using Docker or local environments
Building conversational analytics interfaces powered by Claude and Qlik
Enabling secure and controlled access to organizational Qlik datasets for AI models

README

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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):

env
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
# Build the Docker image
docker build -t qlik-mcp .

# Run the container
# Make sure to create a .env file first (copy from .env.example)
docker run --env-file .env qlik-mcp

Usage with Claude Desktop

Add the following to your claude_desktop_config.json:

Using Deno (Recommended)

json
{
  "mcpServers": {
    "qlik": {
      "command": "/path/to/deno",
      "args": ["run", "--allow-all", "--env-file=.env", "src/index.ts"],
      "cwd": "/path/to/qlik-mcp"
    }
  }
}

Using Node.js

json
{
  "mcpServers": {
    "qlik": {
      "command": "npx",
      "args": ["tsx", "src/index.ts"],
      "env": {
        "QLIK_API_KEY": "your_api_key_here",
        "QLIK_BASE_URL": "your_tenant_url",
        "QLIK_APP_ID": "your_default_app_id"
      },
      "cwd": "/path/to/qlik-mcp"
    }
  }
}

Usage with Cursor

  1. Open Cursor settings
  2. Navigate to the Claude configuration section
  3. Add a new MCP configuration:
json
{
  "name": "Qlik Cloud",
  "command": "/path/to/deno",
  "args": ["run", "--allow-all", "--env-file=.env", "src/index.ts"],
  "cwd": "/path/to/qlik-mcp"
}

Replace /path/to/deno with your Deno installation path (usually ~/.deno/bin/deno on Unix systems) and /path/to/qlik-mcp with the absolute path to your cloned repository.

Troubleshooting

If you encounter errors, verify that:

  • Your API key has the necessary permissions
  • The tenant URL is correct and accessible
  • The app ID exists and is accessible
  • Environment variables are properly set
  • Rate limiting settings are appropriate for your tenant

Common issues:

  • 401 Unauthorized: Check your API key
  • 403 Forbidden: Verify API key permissions
  • 429 Too Many Requests: Adjust rate limiting settings
  • 404 Not Found: Verify app and sheet IDs

Development

Prerequisites

Local Setup

bash
# Clone repository
git clone https://github.com/jwaxman19/qlik-mcp.git
cd qlik-mcp

# Install dependencies (for IDE support)
npm install

# Run server
deno task dev

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

📊 Data Platforms

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  • jwaxman19/qlik-mcp 📇 ☁️ - MCP Server for Qlik Cloud API that enables querying applications, sheets, and extracting data from visualizations with comprehensive authentication and rate limiting support.
  • keboola/keboola-mcp-server - interact with Keboola Connection Data Platform. This server provides tools for listing and accessing data from Keboola Storage API.

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Repository Owner

jwaxman19
jwaxman19

User

Repository Details

Language TypeScript
Default Branch main
Size 27 KB
Contributors 2
License MIT License
MCP Verified Nov 12, 2025

Programming Languages

TypeScript
98.06%
Dockerfile
1.94%

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