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
基本信息
Python implementation to spawn ephemeral Model Context Protocol (MCP) servers using the kubernetes API.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-ephemeral-k8s": {
"command": "uvx",
"args": [
"mcp-ephemeral-k8s"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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.
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