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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Argo Workflows with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Automate Kubernetes orchestrations via Argo Workflows. monitor, list, and inspect active pods, crons, and workflow templates directly from any AI agent.

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 · 6 capabilities

The complete Argo Workflows capability set.

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

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Argo Workflows.

  1. 01

    Get workflow

    Get detailed resource tree and status for an Argo workflow

  2. 02

    List workflows

    List workflows in a Kubernetes namespace

  3. 03

    List archived workflows

    List archived workflows from Argo history

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Argo Workflows.

  1. 04

    Get server info

    Get Argo Workflows server information

  2. 05

    List cron workflows

    List scheduled cron workflows in a namespace

  3. 06

    List workflow templates

    List workflow templates defined in a namespace

Observed, not estimated

908ms average. Fast in production.

Argo Workflows is checked daily against the live service.

Daily averagePeak 1276ms
Aug 20Today
Fastest day
670ms
Slowest day
1276ms
14-day trend
Slowing+41%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 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 Argo Workflows, so you can see the experience inside your AI.

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

Argo Workflows Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XgODuKGP8hKPvAVimTmrdsOr5ag915WZ6oPDkNoq/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 — Argo Workflows capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "argo-workflows-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XgODuKGP8hKPvAVimTmrdsOr5ag915WZ6oPDkNoq/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 Argo Workflows owners ask.

  • 01

    Can my AI agent figure out exactly which pod/node failed in an active workflow execution?

    Yes. If a workflow fails, you can ask your agent to retrieve the workflow tree by name. The agent uses the get_workflow capability to inspect the deeply nested structure, traverse the active nodes, and pinpoint the exact step or container that resulted in an error state without you ever needing to click through the Argo UI.

  • 02

    Can I list only scheduled periodic jobs across my cluster?

    Absolutely. You can use the dedicated list_cron_workflows capability to isolate and return strictly workloads orchestrated on a time schedule across any namespace, saving you from parsing through thousands of isolated runs.

  • 03

    Do I need to expose my internal Kubernetes API to use this?

    No. The integration strictly interfaces with the Argo Server UI/API layer via standard REST traffic using a scoped ServiceAccount Bearer token. Your cluster's overarching master kube-apiserver remains safely isolated from external agentic logic.

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