Kubernetes MCP Server

Kubernetes MCP server enabling AI agents to interact with Kubernetes clusters — listing and querying pods, deployments, services, and namespaces, applying manifests, scaling workloads, reading logs, and integrating Kubernetes cluster management into DevOps agent workflows for infrastructure automation and observability.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Developer Tools kubernetes k8s container-orchestration mcp-server devops deployment pods cloud-native
⚙ Agent Friendliness
72
/ 100
Can an agent use this?
🔒 Security
89
/ 100
Is it safe for agents?
⚡ Reliability
72
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
70
Documentation
72
Error Messages
70
Auth Simplicity
75
Rate Limits
78

🔒 Security

TLS Enforcement
98
Auth Strength
90
Scope Granularity
90
Dep. Hygiene
80
Secret Handling
85

Kubernetes RBAC — minimal permissions required. Dedicated service account. Production approval gates required. kubeconfig is sensitive credential — encrypted storage.

⚡ Reliability

Uptime/SLA
78
Version Stability
70
Breaking Changes
68
Error Recovery
70
AF Security Reliability

Best When

A DevOps or platform engineer needs AI assistance with Kubernetes cluster management — querying resource state, reading logs, and performing controlled cluster operations.

Avoid When

Your orchestration platform is ECS, Nomad, or other non-Kubernetes systems, or you need cluster provisioning rather than management.

Use Cases

  • Querying pod status and deployment health from infrastructure monitoring agents
  • Scaling deployments in response to load from auto-scaling agents
  • Reading pod logs for debugging from incident response agents
  • Applying Kubernetes manifests for deployments from CI/CD agents
  • Managing namespaces and resource quotas from platform engineering agents
  • Diagnosing cluster issues by querying events and resources from SRE agents

Not For

  • Teams not using Kubernetes (use Docker, ECS, or other orchestrators for non-K8s deployments)
  • Fully autonomous cluster modification without human approval for production environments
  • Kubernetes cluster provisioning (use Terraform or cluster API tools for provisioning)

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
Yes
Webhooks
No

Authentication

Methods: kubeconfig service_account
OAuth: No Scopes: Yes

Kubernetes RBAC with kubeconfig or in-cluster service account token. CRITICAL: Use minimal RBAC permissions — create dedicated service account with only required verbs on required resources. Never use cluster-admin for agent access.

Pricing

Model: free
Free tier: Yes
Requires CC: No

MCP server is free. Kubernetes cloud hosting (GKE, EKS, AKS) has managed service costs.

Agent Metadata

Pagination
token
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • CRITICAL: Use minimal RBAC — never grant cluster-admin; create service account with only required verbs
  • Production cluster changes (scale, delete, apply) should require human approval before execution
  • Namespace isolation critical — limit agent to specific namespaces, not cluster-wide access
  • Rolling updates and deployments take time — agent must poll for completion, not assume immediate success
  • Kubernetes API version differences between clusters — specify apiVersion in manifests explicitly
  • Log streaming from pods may require streaming connection — verify MCP handles long-running connections

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Kubernetes MCP Server.

$99

Scores are editorial opinions as of 2026-03-06.

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Packages Evaluated
26151
Need Evaluation
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