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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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.
Extend your Context Lake with external MCPs
Govern human and agent access to external MCPs from one place.
