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AI operator, MCP, and API surfaces

CortexPilot already has real AI-facing and integration-facing product surfaces for Codex and Claude Code workflows. This page exists to make those surfaces easier to discover without overstating what they are.

Current boundary: these surfaces are not a hosted operator product, the shipped MCP node remains read-only, and the frontend packages remain a thin client + contract + shared substrate layer instead of a full SDK platform.

1. Explain-only AI operator copilot

CortexPilot already exposes a bounded AI operator brief on the workflow path instead of an unbounded floating chat box. Today it shows up in three major places:

Read the architecture baseline in the MCP + operator copilot architecture note.

2. Read-only MCP surface

CortexPilot ships a real read-only MCP node for control-plane reads. The current public contract is:

This keeps MCP useful for external inspection while staying honest about the current boundary.

If you want the shortest MCP-specific map, go straight to the read-only MCP quickstart.

3. Frontend API and contract entrypoints

CortexPilot also exposes a thin builder edge for frontend consumers that want the same routes and contracts the dashboard and desktop use today.

For the machine-facing HTTP boundary, open the public OpenAPI document.

If you want the shortest API-oriented map, use the API and contract quickstart.

4. What we can say truthfully

4.5. Integration and skills adoption

If your real question is “How do I plug this into a coding-agent team workflow without making fake plugin claims?”, use the compatibility matrix, the integration guide and the skills quickstart.

5. What stays explicitly out of scope