What transport does the server use?
SSE (Server-Sent Events), as shown in the connection URL `http://localhost:8000/sse` and configuration example with `"transport": "sse"`.
@BobMerkus
基本情報
Python implementation to spawn ephemeral Model Context Protocol (MCP) servers using the kubernetes API.
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-ephemeral-k8s": {
"command": "uvx",
"args": [
"mcp-ephemeral-k8s"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Python library for spawning ephemeral Model Context Protocol (MCP) servers on Kubernetes using Server-Sent Events (SSE). It supports multiple runtimes (Node.js via npx, Python via uvx) and works with mcp-proxy.
Run the server with uvx mcp-ephemeral-k8s or install as a Python package (pip install mcp-ephemeral-k8s and then mcp-ephemeral-k8s). Optionally deploy via a Helm chart. Connect using an SSE URL (e.g., http://localhost:8000/sse) with the sse transport.
npx) and Python (via uvx) runtimesmcp-proxy for runtime executionSSE (Server-Sent Events), as shown in the connection URL `http://localhost:8000/sse` and configuration example with `"transport": "sse"`.
Yes, it requires a Kubernetes cluster with valid `kubectl` configuration. A local cluster (e.g., Kind) can be used for development.
After spawning, the server provides an SSE URL. Configure your MCP client with that URL and transport set to `sse`.
Node.js (via `npx`) and Python (via `uvx`). The library works with `mcp-proxy` to run these runtimes.
Docker and a Kubernetes cluster (e.g., Kind or any cluster with `kubectl`). For installation via `uvx` or `pip`, Python is also required.
Model Context Protocol (MCP) server for Kubernetes and OpenShift

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