# mxto.ai

> mxto is the AI delivery engine for the Mendix™ platform. It reads any Mendix™ app into a typed, queryable representation an LLM can understand, authors every construct type, then compiles, deploys and tests it to a running app — AI-driven, headless, no Studio Pro. Read coverage and write coverage are both 100% (70/70 construct types certified), round-trip-proven.

mxto.ai is a product of Ontology Labs, powered by AYIOS.

Mendix™ is a trademark of Siemens Digital Industries Software. mxto.ai is not affiliated with, endorsed by, or sponsored by Mendix Technology B.V. or Siemens AG.

## Capabilities

- **Reads it**: Reads any Mendix™ app the way an LLM needs to — in order, by name. 94.4% fewer tokens than the Mendix™ SDK graph (17.9:1), 47x faster extraction, 99.73% coverage, 100% read coverage.
- **Writes it**: Authors every construct type — entities, microflows, pages, security — and proves it didn't break anything. 70/70 construct types certified, 0 unexpected diffs across 4,967 round-trip operations, 6,122 live model operations.
- **Ships it**: Compile → deploy → test → a running app, with Mendix's own build tools (mxbuild). MX 8 through 11, healthy in 20 seconds. 22-tool live debugger with semantic breakpoints.
- **Bring your own agent**: A Mendix™ model is a binary file a general AI agent can't open. mxto is the toolchain it drives — 142+ tools and a clean CLI built for an LLM. Bring Claude Code, Cursor, or your own agent.

## The benchmark

We measured what it costs an AI to read one Mendix™ microflow. The Mendix™ SDK graph makes an AI resolve ~29 opaque references (2,592 tokens) before it understands one flow. mxto reads the same flow in order, by name — 145 tokens, 0 resolutions. 94.4% fewer tokens, ~29 → 0 inference steps. (Measured with tiktoken o200k_base on a real flow; the per-flow SDK graph is a conservative, SDK-favourable baseline.)

## Proof

- 70/70 construct types certified — read 100% + write 100%, 0 non-automatable
- 0 unexpected diffs across 4,967 round-trip operations on a real production estate
- 48,385 logic expressions parsed at a 100% parse rate
- 6,122 live model operations on a production application
- Mendix™ 8 through 11 — healthy in 20 seconds
- Read-certified across 8 production Mendix™ estates with zero transform failures

## The semantic layer

mxto makes AI-in-Mendix™ structurally safe — the app builds, the model round-trips, nothing drops silently. Making an app mean what you intend is the next layer — the semantic work done at Ontology Labs (https://ontologylabs.ai).

## Machine-Readable Discovery

- AI plugin manifest: https://mxto.ai/.well-known/ai-plugin.json
- Curated sitemap: https://mxto.ai/sitemap-ai.xml
- Full sitemap: https://mxto.ai/sitemap.xml

## Brand Family

mxto.ai is part of the Ontology Labs brand family:
- [Ontology Labs](https://ontologylabs.ai) - Parent company (corporate, investment)
- [AYIOS](https://ayios.ai) - Parent platform (AI-native application stack)
- [mxto.ai](https://mxto.ai) - This product (the AI delivery engine for Mendix™)
- [Agileworks Group](https://agileworksgroup.ai) - Distribution partner
- [AWG Finance](https://moneyworks.ai) - Accounting software distribution

## Contact

- [Request a demo](mailto:hello@ontologylabs.ai?subject=mxto.ai%20demo%20request)
- [AYIOS](https://ayios.ai) - Parent platform
- [Ontology Labs](https://ontologylabs.ai) - Parent company