Ai Integration

Connect AI assistants to your systems through capabilities, so they can access trusted business data and actions without custom glue code.

Take Me to the Repo

Declare upstream systems in your capability spec with namespace, base URI, authentication, and operation contracts. Expose the same domain as MCP tools and REST resources, so both AI agents and traditional clients use one integration layer.

Use call, steps, and JSONPath mapping in output parameters to return normalized, task-ready payloads instead of raw provider responses. One capability serves both AI and API consumers.

Two engines, three components, one spec

The Agentic Integration Platform is tied together by Spec-Driven Integration (SDI) — a single declarative YAML spec, authored once, that turns an API into an agentic capability. Two open-source engines do the work. Three enterprise components carry the same reviewed spec, with its governance intact, onto the surfaces your teams already use.

Ikanos

The OSS capability engine. Runs a Naftiko spec as a multi-protocol server — REST, MCP, and Skill from the same definition. Apache 2.0.

Polychro

The OSS deterministic AI-era linter for YAML, JSON, and Markdown specs. The new Spectral for SDI. Apache 2.0.

Start small, scale smart

AI integration without the glue code.

Chart your next course

Rightsize AI Context