qlik-mcp MCP Server
qlik-mcp MCP Server GithubDiscover Qlik MCP Server: Your Gateway to Qlik Cloud API Integration
If you're searching for a powerful tool to connect with Qlik Cloud API, the Qlik MCP Server is your ideal solution. Designed for seamless interaction with Qlik applications, this server enables users to extract valuable data from visualizations effortlessly. Whether you're a data analyst or a developer, Qlik MCP Server simplifies data access and integration.
What is Qlik MCP Server?
Qlik MCP Server is an innovative MCP (Multi-Cloud Platform) server tailored for the Qlik Cloud API. It empowers tools like Claude to interact with Qlik applications, retrieve app lists, explore sheets, and extract detailed chart data, making it a vital asset for data-driven decision-making.
How to Use Qlik MCP Server
- Setup: Create a Qlik Cloud API key via your tenant settings and configure environment variables in a .env file with your credentials.
- Deployment: Run the server using Docker or integrate it with platforms like Claude Desktop or Cursor by updating configuration files with the server path.
- Access Data: Utilize tools like qlik_get_apps or qlik_get_chart_data to fetch application lists or specific chart insights.
Key Features of Qlik MCP Server
- Retrieve lists of Qlik applications and sheets with detailed metadata.
- Extract data from specific charts with customizable row limits.
- Support for Docker deployment and integration with Claude Desktop or Cursor.
- Comprehensive error handling for API key issues or rate limiting.
User Case
Imagine a business analyst needing real-time data from Qlik visualizations for a report. With Qlik MCP Server, they can quickly fetch chart data, analyze trends, and present insights without manual data extraction.
FAQ
- What permissions are needed for the API key? Ensure your key has access to the relevant Qlik applications and data.
- How to handle rate limiting errors? Adjust settings like request delays in your environment configuration.
Explore the power of Qlik MCP Server today and transform how you interact with Qlik Cloud data!
Visual Examples
## Demo Videos