Port
Internal developer portal for platform engineering, service catalogs, and scorecards.
Port AI graduated from answering questions about the catalog to changing it, with approval.
◆Recent moves
- 6d ago
Port AI Builder plans and executes catalog changes with approval
⚡ SPARKThis is the release the previous ten months were building toward: Port AI moves from describing the catalog to changing it. Plan mode proposes a step-by-step change set, Build executes it incrementally with traces, and the approval gate is what keeps the whole thing inside the platform team's control.
- 1mo ago
Workflows hits open beta; AI agents connect external MCP servers
Workflows reaching open beta gives the automation layer a visual, node-based builder instead of scattered action configs — the substrate July's AI Builder would later drive. External MCP servers inside AI agents extend March's gateway work from the side chat into the agents themselves, and Private Pages let individuals build catalog views without publishing them.
- 2mo ago
Public plugins repo opens Port to community contributions
The port-plugins repo makes Port's extension points public and forkable, which the notes themselves frame as an early step rather than a finished ecosystem. Claude Code and Copilot integrations pull AI coding activity into the catalog, consistent with Port positioning itself as the place engineering activity gets measured.
- 3mo ago
Custom Widgets run your own UI inside Port; BYO OpenAI endpoint
Custom Widgets let customers build frontend components in their own stack and run them inside Port dashboards and entity pages, while support for any OpenAI-compatible endpoint loosens the model dependency in Port AI. Both are extensibility moves that widen the surface the later agentic releases would operate on.
- 4mo ago
MCP Connectors turn Port AI into a gateway for external tools
⚡ SPARKMCP Connectors reposition Port AI from a catalog assistant into a single front end for the whole tool stack. It is the first release where Port's AI value comes from what it can reach rather than what it knows about your catalog.
- 5mo ago
Run Claude in your own Azure; RBAC gets a UI and simulator
Running Claude models inside a customer's own Azure environment addresses the data-residency objection that stalls AI adoption in regulated orgs. The Dynamic RBAC UI, permissions simulator, and secrets audit logs are the governance groundwork the later agentic releases lean on.