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URL: https://glama.ai/mcp/servers/integrations/prefect

⇱ Prefect | Glama

  • Why this server?

    Provides tools for workflow orchestration through Prefect, allowing interaction with the Prefect API to manage and monitor data pipelines and workflows.

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    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.
    Last updated
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    MIT

  • Why this server?

    Allows AI assistants to interact with Prefect through natural language, providing access to flow management, flow run management, deployment management, task run monitoring, work queue management, block management, variable management, and workspace information.

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    A Model Context Protocol server that allows AI assistants to interact with Prefect's workflow automation platform through natural language, enabling users to manage flows, deployments, tasks, and other Prefect resources via conversational commands.
    Last updated
    46
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    Apache 2.0

  • Why this server?

    Enables interaction with Prefect data pipelines for orchestrating and monitoring workflows

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    An all-in-one Model Context Protocol (MCP) server that connects your coding AI to numerous databases, data warehouses, data pipelines, and cloud services, streamlining development workflow through seamless integrations.
    Last updated
    4

  • Why this server?

    Provides generative UI capabilities through Prefab, enabling the rendering of a card grid dashboard from saved notes.

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    A FastMCP server with web search, local notes CRUD, and a generative UI dashboard using Prefab.
    Last updated
    3

  • Why this server?

    Generates idiomatic Prefect flow code from Apache Airflow DAGs, with support for deployment configuration, project scaffolding, and migration reporting.

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    An MCP server that converts Apache Airflow DAGs into Prefect flows. It provides tools to read DAGs, lookup translation knowledge, validate code, search Prefect docs, scaffold projects, deploy, and generate migration reports.
    Last updated
    8
    MIT

  • Why this server?

    Provides tools for interacting with Prefect workflow orchestration, enabling monitoring and inspection of deployments, flow runs, task runs, work pools, logs, events, and debugging of workflows.

  • Why this server?

    Allows deployment and orchestration of Snowflake data flows via Prefect Cloud, enabling scheduling, monitoring, and management of data operations through Prefect's platform.

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    Enables Snowflake data operations through a Python FastAPI server with Prefect orchestration, deployable to Prefect Cloud.
    Last updated