Prefect MCP

Prefect's MCP server gives an AI client read access to a Prefect workspace, so an agent can answer questions about orchestration state instead of a human clicking through the UI. It exposes the objects a data engineer looks at during an incident: flows, deployments, flow runs and task runs with filtering, work pools and work queues, automations, events, and the execution logs attached to a run. The typical use is triage. The agent pulls recent failed runs for a deployment, reads the tracebacks in their logs, correlates them with events and work pool status to tell whether the failure was code or infrastructure, then points at the deployment parameters that changed. It also searches Prefect documentation and SDK syntax, which makes it useful while writing flows, not only while debugging them. The server is read-only by design: it inspects state but does not trigger, cancel or edit runs, which removes the risk of an agent restarting production pipelines on its own. It works against both Prefect Cloud and self-hosted Prefect instances, authenticating through a local Prefect profile, an API key, or service account credentials for unattended use. It is aimed at data and platform engineers running Prefect in production who want faster answers about pipeline health without granting write access to the orchestrator.