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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Prefect with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Bring your data orchestration into your AI. audit Python pipelines, debug failed runs, and inspect Prefect Work Pools natively.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 7 capabilities

The complete Prefect capability set.

These are the exact actions your AI can choose when you ask it to work with Prefect.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Prefect.

  1. 01

    Get flow run

    Get complete contextual metadata, runtime limits, and specific variables tied to an executed Prefect Flow Run

  2. 02

    List automations

    List all Cloud Automations mapping explicit webhook/event actions dictating real-time flow triggers

  3. 03

    List blocks

    List all secure infrastructure Blocks defining Secrets, AWS paths, or GCP configurations directly in Prefect

  4. 04

    List work pools

    List all physical Work Pools acting as routing destinations for dynamically dispatched flow runs

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Prefect.

  1. 05

    List flows

    List all engineered Python workflows registered natively on Prefect Cloud

  2. 06

    List deployments

    List all active deployments representing scheduled or triggered physical workflow instances

  3. 07

    List flow runs

    List recent active, scheduled, or failed flow runs recording actual physical data pipelining limits

Observed, not estimated

833ms average. Fast in production.

Prefect is checked daily against the live service.

Daily averagePeak 1077ms
Aug 20Today
Fastest day
678ms
Slowest day
1077ms
14-day trend
Slowing+7%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Prefect, so you can see the experience inside your AI.

It does not authenticate your account with Prefect. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Prefect Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_a5qLESf6WFH2IZLBM0AJkFtNNbD6lsAcNp4Q1Iqv/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Prefect capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "prefect-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_a5qLESf6WFH2IZLBM0AJkFtNNbD6lsAcNp4Q1Iqv/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Prefect owners ask.

  • 01

    Can the AI pinpoint the exact error in a failed Python data flow?

    Yes. Upon discovering a FAILED execution with list_flow_runs, it uses get_flow_run to unpack the explicit metadata and stack trace, isolating exactly what task and line broke your ETL logic.

  • 02

    How does the agent find where a flow actually executes (compute layer)?

    It investigates list_deployments and list_work_pools. This exposes the underlying compute binding, allowing the AI to tell you whether the workflow executed inside an ECS cluster, Kubernetes, or a local Docker agent.

  • 03

    Where do I retrieve the Workspace ID precisely?

    From the Prefect Cloud URL. The format is app.prefect.cloud/account/{AccountId}/workspace/{WorkspaceId}. Copy the UUID strictly following the /workspace/ path.

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