Kubernetes MCP Server
Updated June 2026⭐ FeaturedThe Kubernetes MCP server, built by Flux159, provides the Kubernetes MCP server (mcp-server-kubernetes, built by Flux159) brings cluster management capabilities into AI assistant workflows, letting developers and platform engineers query and manage Kubernetes resources through natural-language interactions with Claude, Cursor, and other MCP-compatible clients. It is community-built and best for Cloud.
by Flux159
About
The Kubernetes MCP server (mcp-server-kubernetes, built by Flux159) brings cluster management capabilities into AI assistant workflows, letting developers and platform engineers query and manage Kubernetes resources through natural-language interactions with Claude, Cursor, and other MCP-compatible clients. It loads your existing kubeconfig automatically, so it works with any cluster — local minikube and kind setups, Amazon EKS, Google GKE, Azure AKS, or on-premises deployments — with no separate credential setup required. Core tools exposed by the server include: listing pods, deployments, services, and namespaces; describing individual resources and their status; fetching pod logs for debugging; applying and updating manifests; scaling deployments; checking rollout status and history; and querying resource utilization and cluster events. A built-in non-destructive mode can disable delete/scale-down operations entirely, making it safe to point at production clusters for read-only diagnostics. DevOps engineers use it to debug failing deployments by asking Claude to inspect pod logs and recent events, identify resource constraints causing OOMKilled pods, or summarize the current state of a namespace before a production release. For SREs responding to incidents, it enables rapid triage through conversational commands — no memorizing kubectl flags or switching terminal windows mid-incident — and optional OpenTelemetry integration adds observability into what the AI agent actually did against the cluster. Install with: `npx mcp-server-kubernetes`. Pairs well with the GitHub MCP server for full GitOps review workflows.
Installation
npx mcp-server-kubernetesCategories
Frequently Asked Questions
What is Kubernetes MCP Server?
Who built Kubernetes MCP Server?
Is Kubernetes MCP Server free?
How do I install Kubernetes MCP Server?
What does Kubernetes MCP Server integrate with?
Related Guides
Best MCP Servers for DevOps: Kubernetes, Docker, Cloud & CI/CD
7 min read • Guides
Best MCP Servers for Kubernetes & Cloud-Native Operations in 2026
8 min read • Guides
Best MCP Servers for Docker & Container Development in 2026
7 min read • Guides
GitLab MCP Server: Complete Setup Guide 2026
8 min read • Tutorials
Best MCP Servers for Cloud Engineers in 2026
9 min read • Guides
Best MCP Servers for Docker and Kubernetes in 2026
8 min read • Guides
Best MCP Servers for Site Reliability Engineers in 2026
8 min read • Guides
Best MCP Servers for Platform Engineers in 2026
9 min read • Guides
Best MCP Servers for Go Developers in 2026
8 min read • Guides
Best MCP Servers for Infrastructure as Code (IaC) in 2026
9 min read • Guides
Best MCP Servers for DevOps Engineers in 2026
8 min read • Guides
Best MCP Servers for Kubernetes Developers in 2026
7 min read • Guides
Best MCP Servers for AWS Developers in 2026
8 min read • Guides
Deploying MCP Servers to Google Cloud Run: A Complete Guide
10 min read • Deployment
Deploying MCP Servers to Kubernetes — Production-Grade Container Orchestration
12 min read • Deployment
Repo Health
Local/stdio install — runs on your machine, so there is no remote endpoint to verify live. Trust signal below is from the source repo.
Repo recency not yet available for this server.
Quick Info
- Install Type
- npm
- Author
- Flux159
- Categories
- 2
- Integrations
- 5
Related Servers
Git
Tools to read, search, and manipulate Git repositories. Full Git operations support.
GitHub MCP Server
The GitHub MCP server is GitHub's official Model Context Protocol integration, giving AI assistants like Claude and Cursor direct, authenticated access to the GitHub platform and its full developer surface. With this MCP server, you can ask your AI to read and write repository files, create and merge branches, open and review pull requests, comment on and close issues, trigger GitHub Actions workflows, search across code repositories with GitHub's code search, and inspect commit history — all through natural-language prompts in your AI interface. Developers use it to supercharge code review workflows, automate issue triage, generate PR descriptions from diffs, bulk-update repository settings, and wire AI agents into CI/CD pipelines. The GitHub MCP server connects via a GITHUB_PERSONAL_ACCESS_TOKEN environment variable with scopes for the operations you need, keeping authentication clean and auditable. Install with Docker: `docker run -e GITHUB_PERSONAL_ACCESS_TOKEN=<token> ghcr.io/github/github-mcp-server` — or configure it as a remote MCP server in Claude Desktop, Cursor, VS Code, Windsurf, and Cline. With over 8,000 GitHub stars, it is the most widely deployed official code-platform MCP server and the reference implementation for AI-native GitHub automation.
GitLab
GitLab's official MCP server enabling AI tools to securely access GitLab project data, manage issues, and perform repository operations via OAuth 2.0.
AWS MCP Servers
AWS Labs maintains a monorepo of specialized, open-source MCP servers that bring AWS best practices directly into AI-assisted development workflows, spanning infrastructure, data, AI/ML, cost management, and healthcare/life-sciences domains. Rather than one monolithic server, the project ships dozens of focused servers you install individually depending on the task: the AWS Documentation MCP Server for real-time official docs and API references, dedicated servers for Terraform/CDK/CloudFormation infrastructure-as-code, container and serverless platforms (ECS, EKS, Lambda), SQL/NoSQL databases (DynamoDB, RDS, Aurora), search and analytics (OpenSearch), messaging (SQS/SNS), and cost/billing analysis. Most servers install via uvx with a package name like awslabs.aws-documentation-mcp-server, run locally over stdio, and use standard AWS credential chains (IAM roles, profiles, or access keys) rather than exposing raw account credentials to the model. AWS also now offers a managed, remote "AWS MCP Server" (in preview) that combines full API coverage with pre-built agent SOPs, syntactically validated API calls, and complete CloudTrail audit logging for teams that want centralized governance instead of running servers locally. The Getting Started with Kiro/Cursor/VS Code/Claude Code sections in the repo provide one-click install configs for each server, making it straightforward to wire up only the AWS services a given project actually touches.
Cloudflare MCP Server
Cloudflare's official mcp-server-cloudflare repo ships 13+ remote, domain-specific MCP servers rather than one monolith — Documentation, Workers Bindings (storage/AI/compute primitives), Workers Builds, Observability (logs/analytics), Container sandboxes, Browser Rendering (fetch pages, convert to markdown, screenshots), Logpush health, AI Gateway (prompt/response search), Audit Logs, DNS Analytics, Digital Experience Monitoring, Cloudflare One CASB, and GraphQL analytics, each hosted at its own `*.mcp.cloudflare.com/mcp` endpoint over Streamable HTTP (SSE is deprecated but still supported). For broad, code-execution-style access across many Cloudflare products at once, Cloudflare separately publishes a Code Mode server at mcp.cloudflare.com (repo: cloudflare/mcp) — pick domain-specific servers when you want curated, typed tools for one product area (e.g. just Workers or just DNS), and Code Mode when you want fewer, more general-purpose tools. Clients without native remote-MCP support connect via `npx mcp-remote https://<subdomain>.mcp.cloudflare.com/mcp` in their config; clients like the Cloudflare AI Playground accept the URL directly. OpenAI Responses API integration is also documented, requiring a scoped Cloudflare API token per server (e.g. Browser Rendering needs specific dashboard-generated permissions). Typical use: "show me why my Worker is erroring" pulls real-time observability data, or "summarize this URL" drives the Browser Rendering server to fetch and convert a live page to markdown.
Sponsored
Better Stack
Free PlanGet alerted when your APIs, browser tests, payment pipelines, or MCP server dependencies go down. Used by 100K+ developers.
Start monitoring free →