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Kubernetes MCP server with the top30 tools

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Kubernetes MCP Server (FastMCP)

This project provides a Kubernetes MCP (Model Context Protocol) server built using FastMCP and the official Kubernetes Python client. It exposes a wide range of Kubernetes management and inspection tools as MCP tools, making it easy to interact with your Kubernetes or OpenShift cluster programmatically or via GitHub Copilot.

use https://gitingest.com/jlowin/fastmcp download the above and feed it as a context to your copilot chat

prompt to build a mcp server: build a kubernet mcp server with top 30 kubernetes tools using the jlowin-fastmcp-8a5edab282632443.txt file. Make the functions dynamic so that it works for all cases even when the user does not provide a namespace or resource name.

Features

The MCP server exposes the following Kubernetes operations as MCP tools:

  • Pod Management: List, describe, and get logs for pods
  • Deployment Management: List, scale, and inspect deployments
  • Service Management: List and get details of services
  • Namespace Management: List, create, and delete namespaces
  • Node Management: List and describe nodes
  • ConfigMap & Secret Management: List and get ConfigMaps and Secrets
  • Persistent Volumes & Claims: List PVs and PVCs, get PVC details
  • Job & CronJob Management: List and get jobs and cronjobs
  • Ingress Management: List and get ingresses
  • DaemonSet, StatefulSet, ReplicaSet Management: List and get details for each
  • Event Management: List and get cluster events

All tools support filtering by namespace where applicable.

Example MCP Tools

  • list_pods(namespace=None)
  • get_pod_logs(pod_name=None, namespace=None)
  • describe_pod(pod_name=None, namespace=None)
  • list_deployments(namespace=None)
  • scale_deployment(deployment_name, replicas, namespace)
  • list_services(namespace=None)
  • get_service(service_name=None, namespace=None)
  • list_namespaces()
  • create_namespace(namespace)
  • delete_namespace(namespace)
  • list_nodes()
  • describe_node(node_name=None)
  • list_configmaps(namespace=None)
  • get_configmap(configmap_name=None, namespace=None)
  • list_secrets(namespace=None)
  • get_secret(secret_name=None, namespace=None)
  • list_persistent_volumes()
  • list_persistent_volume_claims(namespace=None)
  • get_pvc(pvc_name=None, namespace=None)
  • list_jobs(namespace=None)
  • get_job(job_name=None, namespace=None)
  • list_cronjobs(namespace=None)
  • get_cronjob(cronjob_name=None, namespace=None)
  • list_ingresses(namespace=None)
  • get_ingress(ingress_name=None, namespace=None)
  • list_daemonsets(namespace=None)
  • get_daemonset(daemonset_name=None, namespace=None)
  • list_statefulsets(namespace=None)
  • get_statefulset(statefulset_name=None, namespace=None)
  • list_events(namespace=None)
  • get_event(event_name=None, namespace=None)
  • list_replicasets(namespace=None)
  • get_replicaset(replicaset_name=None, namespace=None)

Notes

Example prompt:

  1. get me the pods running on the vp1099 namespace.
  2. scale down all pods in the vp1099 namespace to 1 replica.
  • The server will attempt to use your local kubeconfig, or fall back to in-cluster config if running inside a cluster.
  • Make sure your kubectl context is set to the desired cluster/namespace.
  • You can extend the server by adding more MCP tools using the @mcp.tool decorator.
  • Gitingest support: You can use gitingest to ingest and interact with GitHub repositories directly through MCP, enabling advanced code search and automation workflows alongside your Kubernetes operations.