Argo Workflows MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Argo Workflows through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Argo Workflows and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"argo-workflows": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Argo Workflows MCP Server
Connect your Argo Workflows cluster to any AI agent and take full control of your infrastructure orchestration through natural conversation.
Windsurf's Cascade agent chains multiple Argo Workflows tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Active Workflows — List and query all running, pending, or recently completed workflow executions across your Kubernetes namespaces
- Deep Inspection — Dive into specific workflow instances to inspect their precise resource trees, node statuses, and pod parameters to catch failures
- Templates & Crons — Browse parameterized, reusable WorkflowTemplates and analyze recurring CronWorkflows orchestrating scheduled jobs
- Historical Archives — Search archived workflows that hit your database to understand historical infrastructure patterns
The Argo Workflows MCP Server exposes 6 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Argo Workflows to Windsurf via MCP
Follow these steps to integrate the Argo Workflows MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Argo Workflows
Open Cascade and ask: "Using Argo Workflows, help me...". 6 tools available
Why Use Windsurf with the Argo Workflows MCP Server
Windsurf provides unique advantages when paired with Argo Workflows through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Argo Workflows + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Argo Workflows MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Argo Workflows and generate models, types, or handlers based on real API responses
Live debugging: query Argo Workflows tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Argo Workflows and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Argo Workflows data with Cascade's code generation to scaffold entire features in minutes
Argo Workflows MCP Tools for Windsurf (6)
These 6 tools become available when you connect Argo Workflows to Windsurf via MCP:
get_server_info
Get Argo Workflows server information
get_workflow
Get detailed resource tree and status for an Argo workflow
list_archived_workflows
List archived workflows from Argo history
list_cron_workflows
List scheduled cron workflows in a namespace
list_workflow_templates
List workflow templates defined in a namespace
list_workflows
List workflows in a Kubernetes namespace
Example Prompts for Argo Workflows in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Argo Workflows immediately.
"List all active workflows in the 'data-engineering' namespace."
"What is the detailed status tree of the workflow named 'daily-backup-55x'?"
"Are there any parameterized WorkflowTemplates available for me to run?"
Troubleshooting Argo Workflows MCP Server with Windsurf
Common issues when connecting Argo Workflows to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Argo Workflows + Windsurf FAQ
Common questions about integrating Argo Workflows MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Argo Workflows with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Argo Workflows to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.