Integrate Argo Workflows with Claude, Cursor, Chatbots & AI Agents MCP Server

Automate Kubernetes orchestrations via Argo Workflows — monitor, list, and inspect active pods, crons, and workflow templates directly from any AI agent.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

get

Get server info on Argo Workflows

Get Argo Workflows server information

get

Get workflow on Argo Workflows

Get detailed resource tree and status for an Argo workflow

list

List archived workflows on Argo Workflows

List archived workflows from Argo history

list

List cron workflows on Argo Workflows

List scheduled cron workflows in a namespace

list

List workflow templates on Argo Workflows

List workflow templates defined in a namespace

list

List workflows on Argo Workflows

List workflows in a Kubernetes namespace

Security & Code Integrity Audit

Every tool in the Argo Workflows MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

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 tool 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.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

How Chatbots Interact with Argo Workflows

Integrate Argo Workflows to provide your custom AI agents with direct read and write access to the capabilities listed below.

LLM Orchestration for kubernetes

The Argo Workflows toolkit provides secure access to kubernetes functions. It enables conversational agents to manage loved by devs settings deterministically.

AI-Driven workflow automation Workflows

The Argo Workflows server supports direct MCP connections for workflow automation. This provides Claude with the required permissions to execute loved by devs functions.