MCP Ephemeral K8s

@BobMerkus

Basic information

About MCP Ephemeral K8s

Python implementation to spawn ephemeral Model Context Protocol (MCP) servers using the kubernetes API.

MCP Ephemeral K8s config

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

{
  "mcpServers": {
    "mcp-ephemeral-k8s": {
      "command": "uvx",
      "args": [
        "mcp-ephemeral-k8s"
      ]
    }
  }
}

MCP Ephemeral K8s tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is mcp-ephemeral-k8s?

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.

How to use mcp-ephemeral-k8s?

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.

Key features of mcp-ephemeral-k8s

Supports Node.js (via npx) and Python (via uvx) runtimes
Integrates with mcp-proxy for runtime execution
Works with local kubeconfig or in-cluster configuration
Can be run as an MCP server itself
Provides a Python library for programmatic session management
Exposes ephemeral MCP servers over SSE

Use cases of mcp-ephemeral-k8s

Spawning temporary MCP servers on Kubernetes for development or testing
Running MCP servers with different runtimes in isolated ephemeral pods
Automating MCP server lifecycle with a Kubernetes-based scheduler
Integrating MCP-based tools into CI/CD pipelines on Kubernetes

Frequently asked questions

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"`.

Does it require a Kubernetes cluster?

Yes, it requires a Kubernetes cluster with valid `kubectl` configuration. A local cluster (e.g., Kind) can be used for development.

How can I connect to an ephemeral MCP server?

After spawning, the server provides an SSE URL. Configure your MCP client with that URL and transport set to `sse`.

What runtimes are supported?

Node.js (via `npx`) and Python (via `uvx`). The library works with `mcp-proxy` to run these runtimes.

What are the prerequisites?

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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