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.
@jakkaj
基本信息
An MCP server for running Argo workflows, written in Golang
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-argo-server": {
"command": "python",
"args": [
"test_with_autogen.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
It runs inside a development container with pre-installed dependencies, or locally with Go. It requires a k3d cluster and Argo installation.
It uses JSON-RPC over STDIN/STDOUT, leveraging Foxy Contexts for RPC handling.
Workflows are managed by Argo Workflows on a Kubernetes cluster.
The server uses STDIN/STDOUT transport for MCP.
The README does not mention authentication; it is intended for local development or within a trusted environment.

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