k8s-diagnostics-mcp-server

An MCP (Model Context Protocol) server that provides Kubernetes diagnostic tooling for pods and clusters, including pod health analysis, cluster health overviews, pod log analysis for error patterns, and workload recommendations, backed by Kubernetes API access via in-cluster service account or kubeconfig.

Evaluated Apr 04, 2026 (16d ago)
Homepage ↗ Repo ↗ Infrastructure kubernetes mcp diagnostics observability devops golang
⚙ Agent Friendliness
49
/ 100
Can an agent use this?
🔒 Security
43
/ 100
Is it safe for agents?
⚡ Reliability
21
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
65
Documentation
55
Error Messages
0
Auth Simplicity
70
Rate Limits
5

🔒 Security

TLS Enforcement
40
Auth Strength
55
Scope Granularity
30
Dep. Hygiene
40
Secret Handling
45

The tool reads Kubernetes cluster state and logs; security primarily depends on Kubernetes RBAC and how the MCP server is exposed. README mentions in-cluster service account or kubeconfig, but does not document TLS, MCP server authentication, or fine-grained access controls. TLS and secret-handling implementation details are not provided; thus scores reflect uncertainty. Ensure least-privilege RBAC, network isolation, and avoid exposing raw logs to untrusted parties.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
0
Error Recovery
45
AF Security Reliability

Best When

Running inside or alongside a Kubernetes environment where the operator can control access (RBAC) and provide the MCP host with credentials to query only the intended namespaces/resources.

Avoid When

Exposed to untrusted users/agents without strict network isolation and least-privilege Kubernetes RBAC, or when logs contain sensitive data that should not be surfaced.

Use Cases

  • Incident-time pod diagnostics (e.g., CrashLoopBackOff / ImagePullBackOff investigation)
  • Cluster health assessment and identification of problematic workloads
  • Automated log triage for common Kubernetes/container error patterns
  • Workload configuration recommendations (resource limits, availability best practices)
  • AI-assisted debugging workflows for DevOps/platform teams

Not For

  • Use as a secure remote admin interface without network controls (it directly reads cluster data)
  • Automated remediation/execution of changes (it is described as diagnostic/recommendation only)
  • Multi-tenant shared SaaS usage without explicit tenancy controls and RBAC scoping

Interface

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

Authentication

Methods: In-cluster Kubernetes service account (implicit via Kubernetes workload identity) kubeconfig-based authentication (local $KUBECONFIG or ~/.kube/config)
OAuth: No Scopes: No

Authentication is not described as a separate API auth layer for the MCP server; instead, access depends on the Kubernetes credentials used to call the Kubernetes API. No MCP server auth mechanism is documented in the provided README.

Pricing

Free tier: No
Requires CC: No

Open-source (MIT) repository per metadata; no hosted pricing described in provided content.

Agent Metadata

Pagination
none
Idempotent
True
Retry Guidance
Not documented

Known Gotchas

  • Tool parameter defaults are described (e.g., namespace default "default", log lines default 100), but there is no documented pagination/continuation mechanism for long logs or large event streams.
  • Access failures may occur if Kubernetes RBAC/credentials cannot read the requested namespace/pod; README does not describe specific error codes or structured failure outputs for MCP tools.
  • Log analysis may return sensitive log content; an agent should treat responses as potentially sensitive and avoid unnecessary disclosure.

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Scores are editorial opinions as of 2026-04-04.

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