How GitHub scaled engineering with Port

AI agents

Build your own agents or start with out-of-the-box ones. Unify access and governance across MCP servers — boosting developer productivity while maintaining operational control.

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AI agents

Specify prompt

Tell each agent exactly what goal to achieve.

Connect agents to Port’s context lake

Give agents the context they need to achieve their goals.

Define guardrails for each agent

Govern the actions agents can execute and what data they can query.

Bring your own LLM provider

Use your Anthropic / OpenAI / AWS / Claude provider to unify your AI management.

Unified entry point and governance across all MCP servers

MCP Connectors give Platform Engineers unified control over external MCP servers — managing access, governance, and tool availability through a single entry point for developers and AI agents.

Starting with Port is simple, fast, and free.

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