
Kubeview
io.github.mikhae1由 GitHub 账号 mikhae1 发布v2.3.0更新于 Oct 25, 2026
Read-only Model Context Protocol MCP server enabling code-driven AI analysis of Kubernetes clusters.
概览
只读 MCP 服务器,让助手在沙箱中运行 TypeScript 检查 Kubernetes 集群、Helm 发布、Argo Workflows 与 Argo CD,只返回最终结果。
- 可以做什么
- 在沙箱中运行 TypeScript,通过带类型的 tools 接口查询集群,只返回最终答案,中间数据不进入上下文(run_code)。
- 适用场景
- 适合需要诊断 Kubernetes 工作负载、关联事件、日志与 Helm 状态,或在多个集群间对比,又不想让原始 API 数据占满上下文的场景。适用于只读排障,而非修改集群。
- 运行要求
- 通过 npx 以 stdio 在本地运行;需要 Node.js 22 或更高版本,并通过 KUBECONFIG 或集群内服务账号获得集群访问权限。可选 HTTP 模式需要 MCP_TRANSPORT、主机与端口设置,以及 MCP_APPROVAL_STATE_SECRET 和 MCP_APPROVAL_REPLAY_DIR。
安装
在 SourceWeft 中
- 打开 控制台中的 Kubeview,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
KubeView MCP
[npm version] [License: MIT] [Node.js] [MCP]
Read-only Model Context Protocol server for Kubernetes diagnostics. Instead of exposing dozens of tools, it gives the agent a sandboxed TypeScript runtime: a single run_code call can query Kubernetes, Helm, Argo Workflows, and Argo CD, correlate the results, and return only the answer. Intermediate payloads never pass through the model's context window. Based on the code execution with MCP pattern.
Background: Evicting MCP tool calls from your Kubernetes cluster
How it works
v2 publishes exactly two public tools: run_code and an approval-gated kube_pod_exec. Everything else is discovered inside the sandbox via tools.list(), tools.search(), and tools.help(), following the MCP progressive discovery and programmatic calling guidance.
run_code executes bounded TypeScript with top-level await. One call can list workloads, correlate events, fetch logs, and diff Helm state without shipping intermediate payloads back through the model:
- Sensitive isolation —
kube_pod_execis unreachable from sandboxed code. Top-level exec requires MCP elicitation, is bound to the argument digest, expires after 10 minutes, and fails closed.kube_port_forwardis never a top-level tool and is denied inside code mode by default.tools.disabled()reports which policy blocked a capability and whether that denial is configurable. - API-driven discovery — Argo Workflows and Argo CD are detected from the Kubernetes API, scoped to the active kube context, cached for 60 s. An unavailable optional API never blocks startup.
- Native reads — resources, metrics, logs, events, and network probes go through the Kubernetes API. Helm releases are parsed from cluster Secrets or ConfigMaps; a local
helmbinary is a fallback, not a prerequisite.
Quick start
Prerequisites: Node.js ≥ 22 and access to a cluster (KUBECONFIG or in-cluster service account).
In Cursor, /kubeview/code-mode injects the typed API into context.
Configuration
Cluster
Mode and capabilities
HTTP transport
Endpoint: http://127.0.0.1:3000/mcp. HTTP follows the MCP 2026-07-28 stateless core: a fresh server per request, no initialize, no Mcp-Session-Id. Each request carries protocol version, client identity, and capabilities in _meta; modern requests add Mcp-Method/Mcp-Name for gateway routing. 2025-era clients use the SDK's stateless fallback on the same endpoint. State that must survive across calls has to be passed as tool arguments or handles.
HTTP mode refuses to start without both approval variables. Multi-replica deployments need the same secret and a shared writable replay directory; the /tmp example is for a single process only. The published MCP registry entry still targets stdio.
Tool surfaces
Domain tools use an operation discriminator:
helm—list|get|debugargo—list|get|logs|cron_list(whenWorkfloworCronWorkflowis discoverable)argocd—list|get|resources|logs|history|status(whenApplicationis discoverable, or withARGOCD_SERVER+ARGOCD_AUTH_TOKEN)
Discovery is cached per kube context for 60 s. Missing optional APIs are omitted, not fatal. argo and argocd are registered when the API exists in the default context or in any exact context name listed in MCP_KUBE_CONTEXTS.
Multiple clusters
Every cluster tool accepts an optional context argument (a kubeconfig context name or an MCP_KUBE_CONTEXTS alias); kube_contexts lists the contexts you can target. Without it, calls behave as before: MCP_KUBE_CONTEXT, then the kubeconfig current-context. Context is per call rather than per session, which keeps HTTP mode stateless and lets one script query several clusters concurrently.
MCP_KUBE_CONTEXTS is a comma-separated list. Plain entries are context names with optional * wildcards; alias=context entries map a short name to a real context. Once set, only matching contexts, alias targets, and MCP_KUBE_CONTEXT are reachable, including for Helm/Argo/Argo CD CLI fallbacks, which receive --kube-context/--context for the resolved context. Add * to keep every context while defining aliases.
In run_code, set a default for the whole script with the context argument, or scope it with tools.withContext(); a per-call context always wins:
kube_pod_exec resolves the context before asking for approval; the approval prompt names it, and the approval is bound to it.
Code mode
Code mode is the default (MCP_MODE=code). The agent writes short TypeScript against a typed tools global instead of calling dozens of MCP tools.
Inside run_code:
- Typed
toolsnamespaces for Kubernetes, Helm, and any detected Argo capabilities, generated from live schemas so parameters cannot be hallucinated. - Progressive discovery:
tools.list(),tools.search(),tools.help(), andtools.disabled()(the last reports why a capability was blocked). - Multi-cluster access:
tools.kubernetes.contexts(),tools.withContext(name), and per-callcontextarguments (see Multiple clusters). - A locked-down runtime with only
consoleandtoolsin scope — no filesystem, no network, noprocess.
Pod exec approval uses MCP elicitation and fails closed. The standalone npm run code-mode launcher has no trusted approval UI, so it always denies pod exec.
Workload diagnosis
Diagnose Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, and CronJobs in one code-mode call:
Resource types default to pod and accept case-insensitive singular or plural names. Namespace defaults to the current context, then default. Diagnosis follows controller ownership by UID and correlates status, events, required configuration keys, image-pull Secrets, PVCs, and failing-container logs. Configuration and Secret values are never returned. Log and event text honor MCP_HIDE_SENSITIVE.
To diagnose a Pod from the CLI:
For controllers, add --resourceType deployment (or another supported type). Add --namespace when the workload is outside the current namespace.
Results contain target, context, observedAt, health, summary, findings, evidence, and coverage. Findings reference evidence and distinguish historical failures from current problems; possible causes are separate from observed facts. Missing optional configuration is expected. Forbidden, unavailable, or missing required reads remain visible in coverage.errors; truncation and skipped reads appear in coverage.truncations. Health is healthy, degraded, or unknown; a confirmed failure can be reported even when collection is incomplete.
Customizing denials
MCP_CODE_MODE_DISABLED_TOOLS (comma-separated) controls which capabilities are blocked inside run_code. Resolution order:
MCP_CODE_MODE_DISABLED_TOOLSenv vardisabledToolsinkube-mcp.code-mode.json- Default:
["kube_port_forward"]
An empty env value clears the list. kube_pod_exec cannot be added — it is permanently blocked.
Protocol
MCP 2026-07-28:
- JSON Schema 2020-12 in/out contracts with server-side validation
- Machine-readable
structuredContentwith text fallback - Accurate
read-only,destructive,idempotent,open-worldannotations - Deterministic tool ordering with cache hints for fixed vs. discovery-dependent surfaces
- Stateless HTTP with discovery and header-based routing (
Mcp-Method,Mcp-Name) - Execution failures returned as tool errors; protocol errors reserved for malformed requests
Local development
Protocol tests pin the SDK v2 client to 2026-07-28 and route through the server handler in-process (no open ports):
Contributing
Contributions are welcome! Please feel free to submit an issue or a pull request.
License
MIT © mikhae1
来源:README.md,提交 dc99d8f
工具
0版本历史
4- v2.3.0最新Oct 17, 2026
- v2.2.0Oct 10, 2026
- v2.0.2Sep 28, 2026
- v2.0.1Sep 16, 2026
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