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MCP server · Cloud

Ephemeral K8s

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

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Scored 6 months ago · breakdown

About Ephemeral K8s

Ephemeral K8s is an MCP server in the Cloud category: python implementation to spawn ephemeral Model Context Protocol (MCP) servers using the kubernetes API.

Install

From source
git clone https://github.com/BobMerkus/mcp-ephemeral-k8s

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README

mcp-ephemeral-k8s

Release Build status codecov Commit activity License

A Python library for spawning ephemeral Model Context Protocol (MCP) servers on Kubernetes using Server-Sent Events (SSE).

Features

  • Supports multiple runtimes:
    • Node.js (via npx)
    • Python (via uvx)
  • Works with mcp-proxy for uvx or npx runtimes
  • Supports both local kubeconfig and in-cluster configuration
  • Can be run as MCP server

Usage

Running the MCP Server

uvx mcp-ephemeral-k8s

Using the Library

import asyncio
from mcp_ephemeral_k8s import KubernetesSessionManager, presets

async def main():
    async with KubernetesSessionManager() as session_manager:
        mcp_server = await session_manager.create_mcp_server(
            presets.K8S_MCP_SERVER, wait_for_ready=True, expose_port=True
        )
        print(mcp_server.sse_url)

if __name__ == "__main__":
    asyncio.run(main())
Job 'mcp-ephemeral-k8s-proxy-1762291156-x17zuayy' in unknown state, waiting...
http://mcp-ephemeral-k8s-proxy-1762291156-x17zuayy.default.svc.cluster.local:8080/sse

Installation

Prerequisites

  • Docker
  • Kind or any Kubernetes cluster with valid kubectl configuration

Option 1: Using uvx (Recommended)

uvx mcp-ephemeral-k8s

To connect to the MCP server, use the following config:

{
   "mcp-ephemeral-k8s": {
      "url": "http://localhost:8000/sse",
      "transport": "sse"
   }
}

Option 2: As a Python Package

pip install mcp-ephemeral-k8s
mcp-ephemeral-k8s

Option 3: Using Helm Chart

To install the Helm chart, run:

helm repo add mcp-ephemeral-k8s https://BobMerkus.github.io/mcp-ephemeral-k8s/
helm repo update
helm install mcp-ephemeral-k8s mcp-ephemeral-k8s/mcp-ephemeral-k8s

To upgrade the Helm chart, run:

helm upgrade -i mcp-ephemeral-k8s mcp-ephemeral-k8s/mcp-ephemeral-k8s

To install a specific version, run:

helm install mcp-ephemeral-k8s mcp-ephemeral-k8s/mcp-ephemeral-k8s --version <replace-with-version>

To uninstall the Helm chart, run:

helm uninstall mcp-ephemeral-k8s

Option 4: From Source

  1. Clone the repository

    git clone https://github.com/BobMerkus/mcp-ephemeral-k8s.git
    cd mcp-ephemeral-k8s
    
  2. Set up development environment

    make install
    
  3. Run pre-commit hooks

    make check
    
  4. Run tests

    make test
    
  5. Build Docker images

    make docker-build-local
    make docker-build-local-proxy
    
  6. Load images to cluster

    kind load docker-image ghcr.io/bobmerkus/mcp-ephemeral-k8s:latest
    kind load docker-image ghcr.io/bobmerkus/mcp-ephemeral-k8s-proxy:latest
    
  7. Install Helm chart

    helm upgrade -i mcp-ephemeral-k8s charts/mcp-ephemeral-k8s --set image.tag=latest
    
  8. Port forward the MCP server

    kubectl port-forward svc/mcp-ephemeral-k8s 8000:8000
    
  9. Visit the FastAPI server

    npx @modelcontextprotocol/inspector --sse http://localhost:8000/sse
    

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Ephemeral K8s

How do I install Ephemeral K8s?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Ephemeral K8s safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Ephemeral K8s still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.