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466,711 tools. Updated 2026-08-19 23:09

"Prefect" matching MCP tools:

  • Retrieve current Prefect instance identity, API URL, type (cloud or open-source), and user information to determine which environment you are connected to.
    MIT
  • Get oriented with the Prefect MCP server to monitor, manage, and debug workflows. Learn about available resources and how to use them.
    MIT
  • Filter Prefect workflow automation flows using specific criteria to identify relevant workflows for management and execution.
    MIT

Matching MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    A server that enables interacting with Prefect workflow automation tools through the Model Context Protocol, offering enhanced reliability through uvx running mechanism and seamless integration with Cursor IDE.
    17
    7
    MIT
  • Check the health status of the Prefect workflow automation server to monitor system availability and ensure workflows can execute properly.
    Apache 2.0
  • Retrieve automations with optional filters by ID, name, or enabled state. Get compact summaries or full details including trigger config and actions.
    MIT
  • Fetch Prefect flow runs with optional filters. Monitor workflow status, debug failures, and review run details by ID, state, or tags.
    MIT
  • Retrieve Prefect work pools with optional filters to debug stuck flow runs. Returns compact summaries by default or full details for specific pools.
    MIT
  • Identify rate limit throttling periods and affected operation groups (e.g., runs, deployments) in Prefect Cloud to diagnose HTTP 429 errors.
    MIT
  • Retrieve task runs with optional filters by state, name, or other criteria. Use to monitor workflow execution, find failed tasks, or search for tasks by name pattern.
    MIT
  • Retrieve Prefect deployments with optional filters for status, tags, or names. Use compact summaries by default or full details with specific IDs.
    MIT
  • View high-level Prefect instance dashboard with flow run statistics, work pool status, and concurrency limits to diagnose flow run delays and bottlenecks.
    MIT