Argo Workflows MCP Server

Model Context Protocol (MCP) server for interacting with Argo Workflows. This server enables Claude Desktop and Claude Code to manage and monitor Argo Workflows directly.

Features

• List and monitor workflows
• Manage workflow templates
• Handle cron workflows
• Query workflow status and logs
• Execute workflow operations with configurable permissions

Building

# Build the application
./gradlew installDist

# Run tests
./gradlew test

Running the MCP Server

This project runs as an HTTP/SSE MCP server. It is not a stdio server, so MCP clients must connect to its URL after the process is started.

./gradlew installDist

ARGO_MCP_HOST=127.0.0.1 \
ARGO_MCP_PORT=8080 \
ARGO_MCP_DB_PATH=./argo-workflows-mcp.db \
./build/install/argo-workflows-mcp/bin/argo-workflows-mcp

Open the web UI at http://localhost:8080/connections. The MCP SSE endpoint is available at http://localhost:8080/.

Add an Argo connection from the web UI, or connect the MCP server first and use the add_connection tool. Connection details are stored in the SQLite database selected by ARGO_MCP_DB_PATH.

Configuration with Claude Code

Claude Code can connect directly to the server's SSE endpoint:

claude mcp add --transport sse argo-workflows http://localhost:8080/

For project configuration, use .mcp.json:

{
  "mcpServers": {
    "argo-workflows": {
      "type": "sse",
      "url": "http://localhost:8080/"
    }
  }
}

Configuration with Claude Desktop

Claude Desktop remote MCP support depends on your Desktop version and plan. If your Desktop build supports remote connectors, add a custom connector pointing to http://localhost:8080/.

For Desktop setups that only launch stdio commands, bridge the local SSE server with mcp-remote:

{
  "mcpServers": {
    "argo-workflows": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "http://localhost:8080/"
      ]
    }
  }
}

After changing Claude Desktop configuration, fully quit and reopen Claude Desktop so it reloads the MCP server list.

Docker Usage

Using the published image

Images are published to GitHub Container Registry by CI:

• ghcr.io/heapy/argo-workflows-mcp:main — latest build from main
• ghcr.io/heapy/argo-workflows-mcp:<git-sha> — immutable build per commit

docker run -it --rm \
  -p 127.0.0.1:8080:8080 \
  -e ARGO_MCP_DB_PATH=/app/data/argo-workflows-mcp.db \
  -v "$HOME/.argo-workflows-mcp:/app/data" \
  ghcr.io/heapy/argo-workflows-mcp:main

Building locally

# Build the application first
./gradlew installDist

# Build Docker image
docker build -t argo-workflows-mcp:latest .

# Run with docker-compose
docker-compose up

# Or run directly
docker run -it --rm \
  -p 127.0.0.1:8080:8080 \
  -e ARGO_MCP_DB_PATH=/app/data/argo-workflows-mcp.db \
  -v "$(pwd)/data:/app/data" \
  argo-workflows-mcp:latest

Then open http://localhost:8080/connections and add the Argo server URL, namespace, token or basic credentials, and TLS options.

If the TLS certificate is issued for another host, set the connection's TLS server name in the UI or add_connection tool so the client presents the expected SNI value.

Environment Variables

Server Configuration

• ARGO_MCP_HOST - HTTP bind address (default: 0.0.0.0)
• ARGO_MCP_PORT - HTTP port (default: 8080)
• ARGO_MCP_DB_PATH - SQLite database path (default: argo-workflows-mcp.db)

Argo Workflows Connection

Argo connection settings are not read from environment variables. Configure them in the web UI at /connections, or by calling the add_connection MCP tool. The stored connection includes:

• Argo Workflows API URL
• Default Kubernetes namespace
• Bearer token or basic auth credentials
• TLS verification and TLS server name options
• Request timeout

Permissions

Permission settings are stored in the SQLite database and can be changed f

... View full README on GitHub