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MCP Argo Server

@jakkaj

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

jakkaj

MCP Argo Server について

An MCP server for running Argo workflows, written in Golang

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

MCP Argo Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP Argo Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

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.

2

How does the server communicate?

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

3

Where are workflow data stored?

Workflows are managed by Argo Workflows on a Kubernetes cluster.

4

What transport does the server use?

The server uses STDIN/STDOUT transport for MCP.

5

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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