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📖 The AI Tool Bible

Grafana MCP vs MCP Server Kubernetes

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Grafana MCP logo
Grafana MCP
MCP Servers
MCP Server Kubernetes logo
MCP Server Kubernetes
MCP Servers
Tagline
Grafana MCP
MCP server for Grafana that provides access to the Grafana instance and surrounding ecosystem.
MCP Server Kubernetes
MCP server that lets Claude, Cursor, VS Code and other agents drive kubectl and Helm against real clusters
Pricing
Grafana MCP
Free
MCP Server Kubernetes
Free· Free and open source (MIT license). Kubernetes cluster and any AI client subscriptions billed separately.
API
Grafana MCP
Yes
MCP Server Kubernetes
Not listed
Open source
Grafana MCP
Yes · Apache-2.0
MCP Server Kubernetes
Yes · MIT
GitHub stars
Grafana MCP
3,625
checked 2026-10-29
MCP Server Kubernetes
1,610
checked 2026-10-29
Last GitHub push
Grafana MCP
2026-10-28
MCP Server Kubernetes
2026-10-26
First commit
Grafana MCP
2024-12
MCP Server Kubernetes
2024-12
Best for
Grafana MCP
—
MCP Server Kubernetes
Platform, SRE and DevOps engineers who already live in kubectl and want an MCP-driven Claude, Cursor or VS Code copilot to triage pods, drive rollouts and run Helm operations against clusters they already have kubeconfig access to.
Not for
Grafana MCP
—
MCP Server Kubernetes
Teams that need a hardened, multi-tenant control plane with approvals, audit and RBAC scoping enforced by the tool itself, or non-Kubernetes shops — this is a thin, trust-your-kubeconfig bridge, not a managed platform.
Editorial score
Grafana MCP
—
MCP Server Kubernetes
—
Use cases
Grafana MCP
Dashboard searchPromQL queryingLogQL queryingIncident managementOn-call schedule managementDashboard rendering
MCP Server Kubernetes
AI-driven pod troubleshooting and log triageNatural-language kubectl for platform engineersHelm chart install and upgrade from a chat clientDeployment rollouts and scaling via Claude Desktop or CursorNode cordon and drain during maintenanceCleanup of pods stuck in Evicted, ContainerStatusUnknown or CrashLoopBackOffPort-forwarding services for local debuggingRead-only cluster inspection in non-destructive modeAuditable agent actions via OpenTelemetry traces
Pros
Grafana MCP
  • Unified SQL tools support multiple backends including ClickHouse, Snowflake, Athena, MySQL, PostgreSQL, and MSSQL.
  • The server can render dashboard panels or full dashboards as PNG images.
  • The tool list is configurable, allowing users to choose which tools are available to the MCP client.
MCP Server Kubernetes
  • Broad kubectl surface — CRUD on any resource, logs, exec, port-forward, rollouts, scale, cordon/drain and stuck-pod cleanup out of the box
  • First-class Helm v3 support including install, upgrade, uninstall and template with custom values
  • Built-in /k8s-diagnose prompt gives the model a structured troubleshooting recipe rather than free-styling kubectl
  • Non-destructive read-only mode and automatic secrets masking reduce the blast radius of an agent going off-script
  • Works with the mainstream MCP clients (Claude Desktop, Claude Code, Cursor, VS Code, Codex CLI) via a single npx command
  • Optional OpenTelemetry tracing on every tool call, so agent actions are auditable in your existing observability stack
  • MIT-licensed, TypeScript, actively released (v4.x line in 2026) with 1.5k+ stars and 270+ forks
Cons
Grafana MCP
  • Grafana version 9.0 or later is required for full functionality.
  • Agent Observability tools work only in Grafana Cloud.
MCP Server Kubernetes
  • Runs with whatever RBAC your kubeconfig has — a compromised or over-eager agent can delete production resources unless you enable non-destructive mode
  • No native multi-cluster policy layer or approval workflow; safety relies on kubeconfig scoping and the client's tool-approval UI
  • Requires kubectl (and Helm for chart operations) preinstalled and on PATH — not a zero-dependency install
  • Node.js / npx runtime is another moving part to manage on operator workstations or bastion hosts
  • Advanced cluster features (custom operators, service meshes, cloud-provider APIs) are only reachable through generic apply/patch, not first-class tools
Website
Grafana MCP
github.com
MCP Server Kubernetes
github.com

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick Grafana MCP if
  • ✅ Unified SQL tools support multiple backends including ClickHouse, Snowflake, Athena, MySQL, PostgreSQL, and MSSQL.
  • ✅ The server can render dashboard panels or full dashboards as PNG images.
  • ✅ The tool list is configurable, allowing users to choose which tools are available to the MCP client.
Pick MCP Server Kubernetes if
  • ✅ Broad kubectl surface — CRUD on any resource, logs, exec, port-forward, rollouts, scale, cordon/drain and stuck-pod cleanup out of the box
  • ✅ First-class Helm v3 support including install, upgrade, uninstall and template with custom values
  • ✅ Built-in /k8s-diagnose prompt gives the model a structured troubleshooting recipe rather than free-styling kubectl
  • ✅ Non-destructive read-only mode and automatic secrets masking reduce the blast radius of an agent going off-script
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