Overview
Features
Extensive tool catalog across 10 categories
Exposes 64 tools grouped into ARTIFACT, AUTOMATION, BLOCK, DEPLOYMENT, FLOW, LOG, OTHER, TASK, VARIABLE, and WORK, enabling full Prefect resource control via MCP.
Prefect API integration
Connects to Prefect Server/Cloud via the Prefect API using PREFECT_API_URL and PREFECT_API_KEY, supporting operations on artifacts, flows, deployments, tasks, variables, and more.
STDIO transport
Operates over STDIO to simplify embedding in AI assistants and CLI workflows.
Docker Quick Start
Docker Compose provides a quick path to deploy the MCP Prefect server.
Configurable runtime via environment variables
Runtime configuration supports MCP_PORT, PREFECT_API_URL, and PREFECT_API_KEY via environment variables.
Cross-platform integrations
Platform integrations shown include Claude Desktop, Cursor MCP, Gemini CLI, Windsurf/Claude Code, and Generic MCP Client using standard MCP config.
Natural language interactions for common workflows
Supports conversational prompts for Flow Management, Deployment Control, Infrastructure Management, Variable handling, and Monitoring.
Community-driven with documentation links
Community implementation with references to official docs, deployment resources, and platform integration examples.
Who Is This For?
- AI assistants:Enable AI agents to manage Prefect resources via natural language using MCP.
- Developers:Integrate Prefect workflows with AI copilots via MCP for automation and orchestration.




