AgentHubAgentHub

kubeview MCP Setup & Guide

MCP ServerMCP RegistryOfficial

io.github.mikhae1/kubeview · v2.2.0

Read-only Model Context Protocol MCP server enabling code-driven AI analysis of Kubernetes clusters.

Copy the install config on this page first, then verify docs and permissions upstream.

Overview

Read-only Model Context Protocol MCP server enabling code-driven AI analysis of Kubernetes clusters. kubeview is a MCP Server listed from MCP Registry. Transports: stdio. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

Use cases

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-10-10
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from official-mcp-registry
Verified ClientsClaude Code、Claude Desktop、Cursor 等
Security Tier: A+ 级 · 官方认证推荐 (A+)·Maintained by official/verified teams, audited for standard MCP protocol compliance.

Copy by platform

Choose your platform

  1. Open or create .cursor/mcp.json in your project root
  2. Click Copy config and paste; merge only this mcpServers entry if others exist
  3. Replace <placeholders> in env with real secrets (see Environment variables below)
  4. Save, then Cmd+Shift+P → Reload Window

Pre-fill Environment Variables (Optional)

secret
Privacy Guarantee: Keys are replaced 100% locally in your browser memory and are NEVER uploaded or stored on any server.
Click to copy snippet
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

Setup tutorial

  1. Open the kubeview page and confirm this MCP Server (source: MCP Registry).
  2. Copy the Cursor, Claude Code, or VS Code snippet.
  3. Merge it into mcpServers and replace env placeholders with real secrets.
  4. Reload the window, then call the MCP tools from your agent chat.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Claude Code (local)

  1. Install Claude Code CLI
  2. Copy the command below, replace <placeholders> with real env values, then run in terminal
  3. See Environment variables below if listed
claude mcp add kubeview -- npx -y kubeview-mcp

Cursor — .cursor/mcp.json (local)

  1. Open or create .cursor/mcp.json in your project root
  2. Click Copy config and paste; merge only this mcpServers entry if others exist
  3. Replace <placeholders> in env with real secrets (see Environment variables below)
  4. Save, then Cmd+Shift+P → Reload Window
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

VS Code — .vscode/mcp.json (local)

  1. Install GitHub Copilot in VS Code with MCP support
  2. Open or create .vscode/mcp.json in your project root
  3. Click Copy config and paste; merge only this mcpServers entry if others exist
  4. Replace <placeholders> in env with real secrets
  5. Save and Developer: Reload Window
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

Claude Desktop — claude_desktop_config.json (local)

  1. Open Claude Desktop claude_desktop_config.json (see remote guide for paths)
  2. Click Copy config and merge under mcpServers
  3. Replace <placeholders> in env with real secrets
  4. Fully quit and restart Claude Desktop
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

Trae — .trae/mcp.json (local)

  1. Trae → Settings → MCP, or edit .trae/mcp.json / global mcp.json
  2. Click Copy config and merge mcpServers
  3. Replace <placeholders> in env with real secrets
  4. Save and reload Trae
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

Cherry Studio — MCP settings (local)

  1. Cherry Studio → Settings → MCP Servers → Add (STDIO)
  2. Or import JSON: click Copy config and merge mcpServers
  3. Replace <placeholders> in env; ensure Node.js / uv (npx, uvx) are installed
  4. Enable the server and check tools load
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

Tongyi Lingma — MCP config (local)

  1. Lingma Settings → MCP → + → STDIO or config file
  2. Click Copy config and merge mcpServers
  3. Replace <placeholders> in env; need Node.js 18+ (npx) or uv (uvx)
  4. Confirm connected before using tools in agent chat
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

Windsurf — mcp_config.json (local)

  1. Edit ~/.codeium/windsurf/mcp_config.json
  2. Click Copy config and merge mcpServers (stdio same as Cursor)
  3. Replace <placeholders> in env, save, refresh Cascade
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

Cline — MCP Servers (local)

  1. Cline panel → Settings → MCP Servers
  2. Click Copy config and merge
  3. Replace <placeholders> in env, then save
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

WorkBuddy — .workbuddy/mcp.json (local)

  1. Edit ~/.workbuddy/mcp.json (user) or project .workbuddy/mcp.json
  2. Or Plugins → MCP Servers → Configure MCP and paste the JSON below
  3. Replace <placeholders> in env; on Windows prefer absolute paths for command/scripts
  4. Save, restart WorkBuddy, confirm connector status is green
{
  "mcpServers": {
    "kubeview": {
      "command": "npx",
      "args": [
        "-y",
        "kubeview-mcp"
      ]
    }
  }
}

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for kubeview

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for kubeview?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Missing required environment variable or authentication failure?

kubeview requires environment variables (KUBECONFIG、MCP_TRANSPORT、MCP_MODE、MCP_CODE_MODE_DISABLED_TOOLS、MCP_ARGO_TOOLS、MCP_ARGOCD_TOOLS、MCP_LOG_LEVEL、MCP_KUBE_CONTEXT、MCP_K8S_SKIP_TLS_VERIFY、MCP_HIDE_SENSITIVE、MCP_TIMEOUT、MCP_HTTP_HOST、MCP_HTTP_PORT、MCP_HTTP_PATH、MCP_HTTP_JSON_RESPONSE、MCP_APPROVAL_STATE_SECRET、MCP_APPROVAL_REPLAY_DIR、MCP_ALLOWED_HOSTS、MCP_ALLOWED_ORIGINS、KUBE_MCP_FORCE_VM_SANDBOX、MCP_DISABLE_KUBERNETES_PLUGIN、MCP_DISABLE_HELM_PLUGIN、MCP_DISABLE_ARGO_PLUGIN、MCP_DISABLE_ARGOCD_PLUGIN). Ensure you have added valid keys under the 'env' object in your config file without trailing whitespace.

Fix Snippet
// .cursor/mcp.json 或 claude_desktop_config.json
{
  "env": {
    "API_KEY": "your_actual_key_here"
  }
}

Tool Mock Playground

Sandbox

kubeview Tool Interface Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: kubeviewExecute the core tool interface of kubeview
Request ArgumentsJSON Schema
{
  "target": "kubeview",
  "action": "execute",
  "options": {
    "mode": "standard",
    "timeoutMs": 5000
  }
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • PR review
  • Changelog generation
  • Cross-repo issue search
When NOT to Use
  • Replacing human security audit
  • Unauthorized repo access
Recommended Workflow Pairing:View Scenario →

kubeview + Scenario Prompt → Complete Agent Automation

MCP hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

Related resources

Often paired with

Planning with files

v3.23.0

SkillClawHub44.6k

io.clawhub.othmanadi/planning-with-files

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

source

ClawCall

v2.0.1

SkillClawHub53.1k

io.clawhub.clawcall-dev/clawcall-dev

Use when the user wants an AI agent to place a US phone call, call a business, handle hold or phone menus, confirm/reschedule/cancel/book/follow up/check an order, reach a real person, leave voicemail, connect the user into a live call, configure ClawCall voice/personality/profile or inbound reserved-number answering, poll received inbound calls, or link a ClawCall API key. Not for SMS, email, or international calls.

source

中文公文写作

v2.0.25

SkillClawHub9.1k

io.clawhub.gongyu0918-debug/chinese-official-writing

用于中文公文、事务性材料和新闻稿件的起草、改写、压缩、润色、审校、文种核对、去口语化、降 AI 味及 Word 格式处理,适用于机关、企事业单位、学校和新闻机构。涵盖申请、请示、报告、通知、通告、意见、决定、决议、议案、公报、命令、函、复函、批复、说明、方案、纪要、公告、公示、通报、制度、规定、办法、细则、操作规程、工作要点、总结、调研、讲话、致辞、主持词、述职、可研、审查材料、技术需求、新闻消息、编者按、新闻评论,以及采购、整改、反馈和 AI 算力等场景。

source

Keep exploring AgentHub

Most people compare similar tools or check scenario guides before installing—start here.

Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

PreviewListed on AgentHub: kubeview
HTML
<a href="https://myagenthub.cn/p/io.github.mikhae1/kubeview" title="Listed on AgentHub: kubeview" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.github.mikhae1/kubeview?lang=en" alt="Listed on AgentHub: kubeview" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: kubeview](https://myagenthub.cn/badge/io.github.mikhae1/kubeview?lang=en)](https://myagenthub.cn/p/io.github.mikhae1/kubeview)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.github.mikhae1/kubeview",
  "type": "mcp-server",
  "version": "2.2.0",
  "displayName": "kubeview",
  "description": "Read-only Model Context Protocol MCP server enabling code-driven AI analysis of Kubernetes clusters.",
  "repository": {
    "url": "https://github.com/mikhae1/kubeview-mcp",
    "source": "github"
  },
  "homepage": "https://github.com/mikhae1/kubeview-mcp",
  "distribution": {
    "packages": [
      {
        "registryType": "npm",
        "identifier": "kubeview-mcp",
        "version": "2.2.0",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "KUBECONFIG",
            "description": "Path to kubeconfig file; defaults to ~/.kube/config if unset."
          },
          {
            "name": "MCP_TRANSPORT",
            "description": "Transport mode: 'stdio' (default) or 'http'. The published package metadata still targets stdio by default."
          },
          {
            "name": "MCP_MODE",
            "description": "Server mode: 'code' (default), compatibility alias 'all', or direct 'tools'."
          },
          {
            "name": "MCP_CODE_MODE_DISABLED_TOOLS",
            "description": "Comma-separated configurable denials inside run_code. Environment overrides JSON; an empty value enables all configurable capabilities."
          },
          {
            "name": "MCP_ARGO_TOOLS",
            "description": "Argo Workflows capability override: auto, on, or off. Auto uses Kubernetes API discovery."
          },
          {
            "name": "MCP_ARGOCD_TOOLS",
            "description": "Argo CD capability override: auto, on, or off. Auto uses Kubernetes API discovery or explicit remote configuration."
          },
          {
            "name": "MCP_LOG_LEVEL",
            "description": "Logging level: 'error', 'warn', 'info' (default), or 'debug'."
          },
          {
            "name": "MCP_KUBE_CONTEXT",
            "description": "Kubernetes context name to use. If unset, uses the current context from kubeconfig."
          },
          {
            "name": "MCP_K8S_SKIP_TLS_VERIFY",
            "description": "Skip TLS certificate verification for Kubernetes API (use 'true' or '1'). Not recommended for production."
          },
          {
            "name": "MCP_HIDE_SENSITIVE",
            "description": "Enable global sensitive data masking. Set to 'true' or '1' to mask sensitive values in responses."
          },
          {
            "name": "MCP_TIMEOUT",
            "description": "Default timeout in milliseconds for operations. If unset, uses plugin-specific defaults."
          },
          {
            "name": "MCP_HTTP_HOST",
            "description": "HTTP bind host when MCP_TRANSPORT=http. Defaults to 127.0.0.1."
          },
          {
            "name": "MCP_HTTP_PORT",
            "description": "HTTP port when MCP_TRANSPORT=http. Defaults to 3000."
          },
          {
            "name": "MCP_HTTP_PATH",
            "description": "HTTP endpoint path when MCP_TRANSPORT=http. Defaults to /mcp."
          },
          {
            "name": "MCP_HTTP_JSON_RESPONSE",
            "description": "Prefer JSON responses over SSE in HTTP mode. Set to 'true' or '1' to enable."
          },
          {
            "name": "MCP_APPROVAL_STATE_SECRET",
            "description": "Shared secret of at least 32 bytes for signing approval state. Required in HTTP mode and identical across replicas.",
            "isSecret": true
          },
          {
            "name": "MCP_APPROVAL_REPLAY_DIR",
            "description": "Absolute directory on writable storage shared by every HTTP replica, used to atomically prevent approval replay."
          },
          {
            "name": "MCP_ALLOWED_HOSTS",
            "description": "Comma-separated Host allowlist for HTTP mode. Required when binding to 0.0.0.0 or ::."
          },
          {
            "name": "MCP_ALLOWED_ORIGINS",
            "description": "Comma-separated Origin allowlist for HTTP mode."
          },
          {
            "name": "KUBE_MCP_FORCE_VM_SANDBOX",
            "description": "Force the standalone code-mode runtime to use node:vm instead of isolated-vm. Set to '1' to enable."
          },
          {
            "name": "MCP_DISABLE_KUBERNETES_PLUGIN",
            "description": "Disable Kubernetes plugin. Set to 'true' or '1' to disable."
          },
          {
            "name": "MCP_DISABLE_HELM_PLUGIN",
            "description": "Disable Helm plugin. Set to 'true' or '1' to disable."
          },
          {
            "name": "MCP_DISABLE_ARGO_PLUGIN",
            "description": "Deprecated alias for MCP_ARGO_TOOLS=off."
          },
          {
            "name": "MCP_DISABLE_ARGOCD_PLUGIN",
            "description": "Deprecated alias for MCP_ARGOCD_TOOLS=off."
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.mikhae1/kubeview",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.mikhae1%2Fkubeview/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}