AMIGO: Agentic Model Instance Generation

Generating metamodel-conforming instance models is a recurring
task in Model-Driven Engineering (MDE), yet it remains tedious and
tool-bound: instances are serialized as verbose, deeply nested XMI
that today’s large language models (LLMs) cannot reliably produce
or edit. We present AMIGO, a general, harness-agnostic architec-
ture for agentic instance model generation. Instead of letting the
LLM emit XMI, an LLM agent expresses modeling intent through a
small set of schema-typed query, manage, and validate tools that
a metamodel-aware server exposes over the Model Context Proto-
col (MCP). The server executes every operation deterministically
and persists a conforming instance, and the agent uses constraint
feedback from instance model validation to self-correct. We demon-
strate AMIGO through a ready-to-use instantiation for the Palladio
Component Model (PCM): the PCM-MCP server, driven by an LLM
agent, turns natural language specifications into a PCM instance
that opens in the Palladio Bench. On two microservice systems
(Corona-Warn-App and TeaStore), the agent generation produces
OCL-valid instances in 596 of 600 runs across three open-weight
... mehr
LLMs, with structures approaching references (per-view Jaccard up
to 0.96). AMIGO shows MCP is a viable integration layer between
standard agent harnesses and MDE tooling