If you work in an R&D project – in automotive, medtech, or aerospace – you know the situation: requirements, models, and tests are spread across numerous tools. And when the audit comes, the question is always the same: How does it all fit together?
Requirements traceability is not a formality; it’s a core engineering discipline. It helps manage complexity and ensures that key evidence is always available when needed.
With itemis ANALYZE, we created a platform designed for exactly this: it connects heterogeneous toolchains and creates a homogeneous traceability model that both humans and machines can understand.
Over the past years, we have evolved itemis ANALYZE to automatically integrate data from Polarion, DOORS, Jira, test tools, and model-based design environments.
The result is a semantically consistent trace graph that:
This means inconsistencies are detected intentionally — not by accident — and much earlier in the process.
The more tools you use, the harder it becomes to keep track of all data flows. That’s why we have integrated the MCP Server (Model Context Protocol) directly into itemis ANALYZE.
This makes it possible to unify access to distributed tools via a single, auditable interface. Through MCP, you can define KPIs and metrics, configure adapters for authoring tools, and retrieve data deterministically.
Every calculation follows a configured logic — comparable to Model-Based Software Engineering. No black-box AI, but statically verifiable, reproducible analyses.
Large Language Models can help define KPIs or trace rules more quickly – for example:
“Create a KPI for untested safety requirements.”
However, the actual computation stays deterministic. The LLM assists in definition, not in evaluation. Every result remains transparent and rule-based — exactly as required by regulatory frameworks and good engineering practice.
With the integrated MCP Server, you can not only configure adapters and define KPIs but also interact directly with your data.
The chat interface is not meant to replace dashboards or reports — it extends them. It provides a new way to explore traceability information interactively and in context.
“Which requirements in module X have no test coverage?”
“Which KPIs are currently outside the defined range?”
All responses are based on the same deterministic analysis logic of itemis ANALYZE. You get quick, contextual insights — without losing traceability or control.
With its integrated MCP Server, itemis ANALYZE becomes the central hub for traceability and compliance in R&D projects. Deterministic calculations, model-based configuration, and conversational interaction form an architecture that combines transparency and efficiency.
From our experience, when traceability and user interaction come together, compliance is no longer a burden — it becomes a competitive advantage.
Discover how itemis ANALYZE brings clarity and control to complex toolchains.