Model capability registry
Available through the product surface and the machine interfaces, with permission attached.
Agents, MCP & capabilities · Concept
A model interoperability platform that makes AI model capabilities discoverable, configurable and usable through standardized plugin interfaces.
ModelPlugin is built for AI developers, model publishers, enterprise AI infrastructure teams.
ModelPlugin replaces model-specific integrations, manually maintained routing configurations and incompatible model interfaces.
A model interoperability platform that makes AI model capabilities discoverable, configurable and usable through standardized plugin interfaces.
Work stays inside an explicit scope: named sources, defined permissions, bounded execution, retained evidence.
Five contracts the product is specified around. Each one is a boundary as much as a feature.
Available through the product surface and the machine interfaces, with permission attached.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Available through the product surface and the machine interfaces, with permission attached.
Defined as an explicit contract so operators can review it before it runs.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
The same three steps apply whether a person or an agent is driving.
Start from the boundary ModelPlugin is allowed to act inside: the workspace, the sources, the budget, the authority.
Expose the same capability through the interface a human uses and the interface an agent calls, with one permission model.
Every action leaves a record that can be inspected, replayed and challenged before the next one runs.
ModelPlugin is documented as a concept: requirements, interfaces and evidence expectations. It is not presented as a live service.