> ## Documentation Index
> Fetch the complete documentation index at: https://aletyx.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# How can I connect DMN decisions to LLMs with MCP?

> Connect DMN decisions to LLMs automatically with the Model Context Protocol (MCP) - no custom code, with guardrails that prevent hallucinations and preserve auditability.

Aletyx can turn your DMN decision models into AI-ready agents automatically
through the **Model Context Protocol (MCP)** — no custom integration code. You
simply add the MCP protocol dependency to your project, and your DMN models become
callable by LLMs. Because the decision logic stays in DMN, it provides structural
guardrails that prevent hallucinations while preserving full policy enforcement
and auditability. This capability is built into the Aletyx Enterprise Build of
Drools (currently for Spring Boot, with Quarkus support coming), whereas
open-source Apache KIE users must build their own integration layer.

[Read the full post →](https://aletyx.ai/automatic-dmn-to-llm-integration-with-mcp-exclusive-aletyx-feature-for-enterprise-ai/)

## Where to go next

<CardGroup cols={2}>
  <Card title="MCP" icon="plug" href="/docs/components/mcp/overview">
    The Model Context Protocol component that exposes DMN decisions to LLMs.
  </Card>

  <Card title="Decisions + GenAI" icon="robot" href="/docs/decisions-genai">
    How deterministic decisions and generative AI work together.
  </Card>

  <Card title="What is DMN?" icon="diagram-project" href="/docs/faq/concepts/what-is-dmn">
    Understand the decision-modeling standard that becomes LLM-callable.
  </Card>

  <Card title="AI Safety" icon="shield" href="/docs/faq/products-features/ai-safety">
    How guardrails keep LLM outputs from overriding business policy.
  </Card>

  <Card title="Enterprise Drools" icon="cube" href="/docs/drools/overview">
    The Enterprise Build of Drools where automatic DMN-to-MCP integration lives.
  </Card>
</CardGroup>
