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MCP Server

MCP Server helps securely connect AI assistants and AI agents to Qlik’s enterprise analytics, data, and business context.
The solution enables Qlik to serve as a managed analytics layer for AI systems, providing access control, access to trusted data, and AI interaction with enterprise analytics—all without complex custom integration.

Why Do Businesses Use MCP Server?

▪️ Securely connect AI to enterprise data
AI agents and external AI tools gain controlled access to analytics, metadata, and business context without direct access to data sources.
 
▪️ A unified analytics layer for AI
Qlik acts as a centralized intelligent layer between enterprise systems and AI solutions, ensuring consistent business logic and control over data processing.
 
▪️ Scaling AI solutions
MCP Server helps accelerate the deployment of AI scenarios across various business areas without the need to create separate integrations for each AI tool or agent.

Qlik MCP Server

Qlik MCP Server enables AI agents to interact with Qlik’s trusted data, analytical models, and analytical insights through a standardized interaction protocol.
 
Features:
▪️ Connecting AI agents to Qlik analytics
▪️ Access to validated data and metadata
▪️ Executing analytical queries and filtering
▪️ Generating insights and recommendations
▪️ Centralized access control
▪️ Working with business context and Qlik models
▪️ Support for enterprise AI architecture
▪️ Scaling AI solutions across the entire company
▪️ Automatic development of scripts for data loading, models, and visualizations

What Businesses Get
Faster execution of AI scripts

The company can implement AI assistants, agents, and other AI solutions more quickly without lengthy integration projects.

AI Based on Business Context

AI uses Qlik's predefined business logic, KPIs, models, and analytical context instead of working directly with tables and databases.

A Unified Approach to Corporate AI

The company gains a centralized mechanism for integrating AI with business analytics across various systems, teams, and AI use cases.

Faster execution of AI scripts

The company can implement AI assistants, agents, and other AI solutions more quickly without lengthy integration projects.

AI Based on Business Context

AI uses Qlik's predefined business logic, KPIs, models, and analytical context instead of working directly with tables and databases.

A Unified Approach to Corporate AI

The company gains a centralized mechanism for integrating AI with business analytics across various systems, teams, and AI use cases.

Let's discuss your data challenges
MCP Server