MCP Argo Server

@jakkaj

About MCP Argo Server

An MCP server for running Argo workflows, written in Golang

#mcp-argo-server #argo-workflows #golang

Basic information

Category

Other

License

MIT

Runtime

go

Transports

stdio

Publisher

jakkaj

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-argo-server": {
      "command": "python",
      "args": [
        "test_with_autogen.py"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Argo Server?

MCP Argo Server is a lightweight CLI tool that wraps Argo Workflows, providing an MCP-compliant JSON-RPC interface over STDIN/STDOUT for launching workflows, checking status, and retrieving results. It is written in Go and uses Foxy Contexts and client-go to interact with Kubernetes and Argo resources.

How to use MCP Argo Server?

Open the project in a dev container or clone and run go mod tidy. Use make cluster to install a k3d cluster and set up Argo. Then run make run to start the MCP server. Alternatively, use the included Python test client by running make install and python test_with_autogen.py in the python/ directory.

Key features of MCP Argo Server

MCP-compliant server for Argo Workflows
JSON-RPC communication over STDIN/STDOUT
Launch workflows, check status, retrieve results
Lightweight CLI tool written in Golang
Integrates with Kubernetes via client-go
Includes Python test client for demonstration

Use cases of MCP Argo Server

Automating Argo Workflow submission from MCP clients
Monitoring workflow status programmatically
Integrating workflow management into AI agents or tools
Testing and debugging Argo workflows in a dev container

FAQ from MCP Argo Server

What is the runtime requirement?

It runs inside a development container with pre-installed dependencies, or locally with Go. It requires a k3d cluster and Argo installation.

How does the server communicate?

It uses JSON-RPC over STDIN/STDOUT, leveraging Foxy Contexts for RPC handling.

Where are workflow data stored?

Workflows are managed by Argo Workflows on a Kubernetes cluster.

What transport does the server use?

The server uses STDIN/STDOUT transport for MCP.

Is there an authentication mechanism?

The README does not mention authentication; it is intended for local development or within a trusted environment.

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