How should kubeview-mcp be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

kubeview-mcp answer-first brief

Read-only MCP server enabling code-driven AI analysis of Kubernetes clusters KubeView MCP – Kubernetes Model Context Protocol Server $1 $1 $1 **KubeView** is a read-only Model Context Protocol (MCP) server that enables AI agents (like Cursor IDE, Claude Code CLI, Codex CLI, Gemini CLI, etc.) to inspect, diagnose, and debug Kubernetes clusters safely. It provides a comprehensive set of tools for Kubernetes, Helm, Argo Workflows, and Argo CD. Learn more about the benefits of code mode and imple Capability contract not published. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

kubeview-mcp is best for kubernetes, mcp, debugging workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB MCP, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 89/100

kubeview-mcp

MCPself-declared

Public facts

Change events

Artifacts

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals4 GitHub stars

Capability contract not published. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/25/2026.

4 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 25, 2026

Vendor

Mikhae1

Artifacts

Benchmarks

Last release

1.7.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/mikhae1/kubeview-mcp.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Mikhae1

profilemedium

Observed Feb 25, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

MCP

contractmedium

Observed Feb 25, 2026Source link Provenance

Adoption (1)

Adoption signal

4 GitHub stars

profilemedium

Observed Feb 25, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

bash

# start the server
npx -y kubeview-mcp

# install as a claude code mcp server
claude mcp add kubernetes -- npx kubeview-mcp

json

{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": ["-y", "kubeview-mcp"]
    }
  }
}

json

"env": { "MCP_MODE": "code" }

bash

git clone https://github.com/mikhae1/kubeview-mcp.git
   cd kubeview-mcp
   npm install

bash

npm run build
   npm start

bash

npm test

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

KubeView MCP – Kubernetes Model Context Protocol Server

KubeView is a read-only Model Context Protocol (MCP) server that enables AI agents (like Cursor IDE, Claude Code CLI, Codex CLI, Gemini CLI, etc.) to inspect, diagnose, and debug Kubernetes clusters safely. It provides a comprehensive set of tools for Kubernetes, Helm, Argo Workflows, and Argo CD. Learn more about the benefits of code mode and implementation in Evicting MCP tool calls from your Kubernetes cluster.

✨ Features

🧠 Code Mode: Sandboxed TypeScript environment for complex reasoning and multi-step workflows.
🛡️ Read-Only & Safe: Designed for production safety with zero write access and sensitive data masking.
☸️ Kubernetes Integration: List/get resources, fetch metrics, stream logs and events, execute commands, and tools to diagnose network issues.
📦 Helm Support (API-first): Inspect releases, values, manifests, and history via Kubernetes API first, with the CLI fallback.
🐙 Argo Ecosystem: Manage Argo Workflows and Argo CD applications using direct Kubernetes API or CLI.

MCP SDK Compatibility

This project is pinned to @modelcontextprotocol/sdk@^1.25.3.
Legacy loose type imports (Tools, Prompts, Resources, Roots, Sampling) are disallowed.
This compatibility pass intentionally excludes Streamable HTTP transport migration and icon metadata rollout.

🚀 Quick Start

Prerequisites

Node.js ≥ 18
Access to a Kubernetes cluster
Optionally, CLIs installed in current $PATH: helm (fallback only), argo, argocd

Installation

# start the server
npx -y kubeview-mcp

# install as a claude code mcp server
claude mcp add kubernetes -- npx kubeview-mcp

Configuration for MCP Clients

Add to your mcpServers configuration (e.g., in Cursor or Claude Desktop):

{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": ["-y", "kubeview-mcp"]
    }
  }
}

Environment Variables

Configure the server using environment variables:

| Variable | Description | Default | | -------------------- | -------------------------------------------- | ---------------- | | KUBECONFIG | Path to kubeconfig file | ~/.kube/config | | MCP_MODE | Server mode: all, code, or tools | all | | MCP_LOG_LEVEL | Log level (error, warn, info, debug) | info | | MCP_HIDE_SENSITIVE | Enable global sensitive data masking | false |

🛠️ Tools Overview

Kubernetes

kube_list: List resources or get cluster diagnostics.
kube_get: Describe specific resources (supports all K8s types).
kube_metrics: Fetch CPU/memory metrics for nodes and pods.
kube_logs: Fetch or stream container logs.
kube_exec: Execute commands in containers (read-only recommended).
kube_port: Port-forward to pods/services.
kube_net: Run in-cluster network diagnostics.

Helm

helm_list: List Helm releases (Kubernetes API first, CLI fallback).
helm_get: Fetch release values, manifests, notes, hooks, resources, status, and history (Kubernetes API first, CLI fallback).

Helm Execution Strategy

Helm tools are API-first by default and read Helm release metadata from Kubernetes storage backends (Secrets and ConfigMaps).
Helm CLI is retained as a compatibility fallback path.
In normal read-only scenarios with Kubernetes API access, Helm operations do not require the helm binary.
If Helm is configured with a non-Kubernetes storage backend (for example SQL), CLI fallback may be required.
For helm_get/helm_list, JSON/default behavior uses API first; non-JSON formatting may use CLI fallback.

Argo

argo_list / argo_get: Manage Argo Workflows.
argocd_app: Inspect Argo CD applications and resources.

Utilities

run_code: Execute sandboxed TypeScript code for complex tasks.
plan_step: Record step-by-step planning state for long, complex investigations.

Why `plan_step` really helps:

Stable multi-step planning without bloating chat context. Instead of dumping a massive plan into the conversation, the agent can store step-by-step progress in plan_step and keep user-facing responses clean.
A consistent state machine for long tasks. Complex workflows usually need: plan -> execute step 1 -> verify -> step 2 -> backtrack -> branch -> finalize. plan_step gives the agent a structured way to follow that lifecycle without losing track.
Better tool routing. Good agents alternate between thinking and acting. plan_step encourages that rhythm: log intent, call real tools, capture outcome, decide next step.

🧠 Code Mode

Inspired by Code execution with MCP, KubeView ships with a code-mode runtime that allows agents to explore the API, search tools, and execute complex workflows in a sandboxed environment.

What it provides

MCP Bridge Layer: Seamlessly connects to all registered MCP server tools.
Dynamic TypeScript Definitions: Automatically converts tool schemas into a strongly-typed global.d.ts resource, enabling agents to use valid TypeScript patterns and enjoy type safety without hallucinating parameters.
Tool Search Utilities: Runtime helpers like tools.search() and tools.list() allow agents to progressively discover capabilities without needing to load the entire schema context upfront.
Sandboxed Execution: A locked-down Node.js environment (via vm) with controlled access to the console and the tools global object, ensuring safe execution of agent-generated code.

Usage

For complex tasks requiring logic, loops, or data processing, use Code Mode:

"env": { "MCP_MODE": "code" }

💡 Pro Tip: `code-mode` MCP Prompt

The server includes a built-in MCP server prompt named code-mode that injects the full TypeScript API documentation, tool overview, and examples into the context.

In Cursor IDE: Simply type /kubeview/code-mode in the prompt (or select it from the / prompt menu). This gives the AI the exact context it needs to write correct run_code scripts immediately.

💻 Local Development

Clone & Install:

git clone https://github.com/mikhae1/kubeview-mcp.git
cd kubeview-mcp
npm install

Build & Run:
```
npm run build
npm start
```
Test:
```
npm test
```

CLI Usage

You can test tools directly via the CLI:

npm run command -- kube_list --namespace=default

📄 License

MIT © mikhae1

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB MCP

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/snapshot"

curl -s "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/contract"

curl -s "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITLAB_AI_CATALOGgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-actix-web

Rank

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T00:06:52.636Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "kubernetes",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "debugging",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "k8s",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai-tools",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "code-mode-mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile capability:kubernetes|supported|profile capability:mcp|supported|profile capability:debugging|supported|profile capability:k8s|supported|profile capability:ai-tools|supported|profile capability:ai-agent|supported|profile capability:code-mode-mcp|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Mikhae1",
    "href": "https://github.com/mikhae1/kubeview-mcp",
    "sourceUrl": "https://github.com/mikhae1/kubeview-mcp",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:03.798Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:03.798Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "4 GitHub stars",
    "href": "https://github.com/mikhae1/kubeview-mcp",
    "sourceUrl": "https://github.com/mikhae1/kubeview-mcp",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:03.798Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-mikhae1-kubeview-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

kubeview-mcp answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

KubeView MCP – Kubernetes Model Context Protocol Server

✨ Features

MCP SDK Compatibility

🚀 Quick Start

Prerequisites

Installation

Configuration for MCP Clients

Environment Variables

🛠️ Tools Overview

Kubernetes

Helm

Helm Execution Strategy

Argo

Utilities

Why plan_step really helps:

🧠 Code Mode

What it provides

Usage

💡 Pro Tip: code-mode MCP Prompt

💻 Local Development

CLI Usage

📄 License

Contract & API

Reliability & Benchmarks

Media & Demo

Related Agents

Why `plan_step` really helps:

💡 Pro Tip: `code-mode` MCP Prompt