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Kube Operator

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Exposes Kubernetes microservice APIs as MCP services by injecting a sidecar into annotated deployments.

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About

Exposes Kubernetes microservice APIs as MCP services by injecting a sidecar into annotated deployments.

README

This repository provides a minimal implementation of a Kubernetes operator and sidecar that expose microservice APIs as MCP services.

Components

  • Sidecar - Lightweight FastAPI application that proxies requests to the main container and exposes its OpenAPI specification from a configurable path.
  • Operator - A Kopf based operator watching for deployments annotated with mcp-server: "true", injecting the sidecar and creating a service for it.
  • CRD - MCPConfig allows selecting deployments by label and exposing only those annotated.
  • Helm chart - Installs the operator and CRD.

Architecture

graph TD
    subgraph Pod
        App[Microservice]
        Sidecar[MCP Sidecar]
        App <--> Sidecar
    end
    Client --> Sidecar
    Operator[MCP Operator] -- watches --> Deployment["Deployment with mcp-server=true"]
    Operator -- injects sidecar --> Deployment
    Operator -- creates --> Service
    Service --> Sidecar

Building

Sidecar image:

docker build -t mcp-sidecar ./sidecar

Operator image:

docker build -t mcp-operator ./mcp_operator

Installing with Helm

helm install mcp-operator charts/mcp-operator

Usage

Annotate your deployment to enable MCP integration:

metadata:
  annotations:
    mcp-server: "true"

When the operator sees this annotation it injects the MCP sidecar and creates a service <deployment>-mcp exposing port 8000. Existing annotated deployments are processed on startup so sidecars are injected even if the operator is installed later.

Configuration

The sidecar locates the upstream service using environment variables:

  • SERVICE_HOST – hostname of the microservice (default localhost)
  • SERVICE_PORT – port of the microservice (default 80)
  • OPENAPI_PATH – path to the OpenAPI or Swagger file including the file name (default openapi.json)

Requests to /openapi.json on the sidecar return the file from http://$SERVICE_HOST:$SERVICE_PORT/$OPENAPI_PATH.

Testing

Run the unit tests with coverage:

pip install -e .[dev]
pytest --cov=sidecar --cov=mcp_operator --cov-report=term --cov-fail-under=80

CI Artifacts

The GitHub Actions workflow builds the sidecar Docker image and packages the Helm chart on each push. When changes land on main, a release is created using python-semantic-release (GitHub Action v9) which automatically bumps the version, updates the changelog and attaches:

  • mcp-sidecar.tar – the Docker image saved as a tarball
  • mcp-operator-<version>.tgz – the packaged Helm chart

Version history lives in CHANGELOG.md and is maintained by python-semantic-release via the latest GitHub Action.

Security

Each build scans the sidecar image using Trivy. The generated report is available in SECURITY.md and is committed back to the repository whenever a new release is published.

Contributing

Please see CONTRIBUTING.md for guidelines on developing and submitting changes.

from github.com/phang98/kube-mcp-operator

Installing Kube Operator

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/phang98/kube-mcp-operator

FAQ

Is Kube Operator MCP free?

Yes, Kube Operator MCP is free — one-click install via Unyly at no cost.

Does Kube Operator need an API key?

No, Kube Operator runs without API keys or environment variables.

Is Kube Operator hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Kube Operator in Claude Desktop, Claude Code or Cursor?

Open Kube Operator on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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