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Qlik Sense MCP Server

@bintocher

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其他

传输方式

stdio

作者

bintocher

提交者

Stanislav Chernov

关于 Qlik Sense MCP Server

暂无概览

#qlik-sense#data-integration#api-server

Qlik Sense MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "qlik-sense": {
      "command": "uvx",
      "args": [
        "qlik-sense-mcp-server"
      ],
      "env": {
        "QLIK_SERVER_URL": "https://your-qlik-server.company.com",
        "QLIK_USER_DIRECTORY": "COMPANY",
        "QLIK_USER_ID": "your-username",
        "QLIK_CLIENT_CERT_PATH": "/path/to/certs/client.pem",
        "QLIK_CLIENT_KEY_PATH": "/path/to/certs/client_key.pem",
        "QLIK_CA_CERT_PATH": "/path/to/certs/root.pem",
        "QLIK_REPOSITORY_PORT": "4242",
        "QLIK_ENGINE_PORT": "4747",
        "QLIK_VERIFY_SSL": "false"
      }
    }
  }
}

Qlik Sense MCP Server 工具

7

Get list of Qlik Sense applications with essential fields and filters (name, stream, published) and pagination.

Get compact application info with filters by guid or name (case-insensitive). Returns metainfo, tables/fields list, master items, sheets and objects with used fields.

Get load script from app

Get comprehensive statistics for a field

Create hypercube for data analysis

Return values of a single field from app with pagination and wildcard search (supports * and %).

Return variables split by source (script/ui) with pagination and wildcard search.

概览

What is Qlik Sense MCP Server?

Qlik Sense MCP Server integrates Qlik Sense Enterprise with systems supporting the Model Context Protocol (MCP), providing a unified interface for Repository API and Engine API operations. It offers 21 tools for managing applications, data, users, and analytics.

How to use Qlik Sense MCP Server?

Install via uvx qlik-sense-mcp-server (recommended) or pip install qlik-sense-mcp-server. Configure environment variables for server URL, user directory, certificate paths, and API ports in a .env file. Start the server with uvx qlik-sense-mcp-server or qlik-sense-mcp-server. Then call any of the 21 tools through your MCP client.

Key features of Qlik Sense MCP Server

  • Unified API for all Qlik Sense REST and WebSocket APIs
  • Certificate‑based authentication for secure access
  • Optimized queries and response handling
  • Multiple data export formats (JSON, CSV, simple)
  • Advanced analytics via hypercube creation

Use cases of Qlik Sense MCP Server

  • Retrieve lists of applications, users, streams, tasks, and data connections
  • Open apps and extract load scripts, fields, sheets, and table data
  • Perform field‑value analysis with frequency and statistics
  • Create hypercubes for custom multi‑dimensional analytics
  • Export application data in various formats for downstream tools

常见问题

1

What exactly does the MCP server do?

It bridges Qlik Sense Enterprise with Model Context Protocol, exposing Repository API and Engine API operations as MCP tools so any MCP‑compatible client can interact with Qlik Sense.

2

How do I install it?

Recommended: run `uvx qlik-sense-mcp-server`. Alternatively, install from PyPI with `pip install qlik-sense-mcp-server` or clone the repository and run `make dev`.

3

What API operations are supported?

Ten Repository API commands (e.g., `get_apps`, `get_users`, `start_task`) and eleven Engine API commands (e.g., `engine_open_app`, `engine_get_script`, `engine_create_hypercube`, `engine_create_data_export`).

4

How do I configure the server for my Qlik Sense instance?

Create a `.env` file with `QLIK_SERVER_URL`, `QLIK_USER_DIRECTORY`, `QLIK_USER_ID`, certificate paths (`QLIK_CLIENT_CERT_PATH`, etc.), and API ports. Then start the server with those variables set.

5

What are the system requirements?

Python 3.12 or later, a Qlik Sense Enterprise server, valid certificates for authentication, and network access to the Qlik Sense server.

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