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PopNx MCPMCP servers for people who use AI · explained in plain words

Ocm MCP Server

by ocm-mcp-serverversion 0.6.0i★ 17iRuns on your computer
Registry nameio.github.ocm-mcp-server/ocm-mcp-server

How to install

What it does

Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.

  • Connects Runs on your computer
  • Account or key No key needed · 1 setting to fill in (KUBECONFIG)
  • Category Developer tools

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 14, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

1 setting(s) to fill in (KUBECONFIG) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Fill in 1 setting(s)

    These are program settings, not keys. No sign-up needed; fill them in as the maker describes.

    • KUBECONFIG Path to the kubeconfig with the OCM hub context (and optional spoke contexts).

    Descriptions are as written by the maker.

  3. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  4. Paste these settings and save the file

    {
      "mcpServers": {
        "ocm": {
          "command": "uvx",
          "args": [
            "ocm-mcp-server"
          ],
          "env": {
            "KUBECONFIG": "your-value"
          }
        }
      }
    }
  5. Quit Claude and open it again

  6. Try it

    Use Ocm MCP Server and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Ocm MCP Server or shows a Ocm MCP Server tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • OCM_MCP_HUB_CONTEXT Kubeconfig context name of the OCM hub cluster (defaults to the current context).
  • OCM_MCP_READ_ONLY Set to 'true' to disable the gated write path entirely (read-only fleet access).

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Ocm MCP Server yet

Ocm MCP Server runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Ocm MCP Server

  • 1 setting(s) to fill in (KUBECONFIG) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • 1 setting(s) to fill in (KUBECONFIG) · Install Python (uv) on your computer first (one time)
  • 1 setting(s) to fill in (KUBECONFIG) · Install Python (uv) on your computer first (one time)
  • 1 setting(s) to fill in (KUBECONFIG) · Install Python (uv) on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

1 setting(s) to fill in (KUBECONFIG) · Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Fill in 1 setting(s)

    These are program settings, not keys. No sign-up needed; fill them in as the maker describes.

    • KUBECONFIG Path to the kubeconfig with the OCM hub context (and optional spoke contexts).

    Descriptions are as written by the maker.

  3. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  4. Paste this command and press Enter

    claude mcp add --scope user ocm --env KUBECONFIG=your-value -- uvx ocm-mcp-server
  5. Type /mcp in Claude Code

    You should see Ocm MCP Server listed as connected

  6. Try it

    Use Ocm MCP Server and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Ocm MCP Server or shows a Ocm MCP Server tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • OCM_MCP_HUB_CONTEXT Kubeconfig context name of the OCM hub cluster (defaults to the current context).
  • OCM_MCP_READ_ONLY Set to 'true' to disable the gated write path entirely (read-only fleet access).

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

1 setting(s) to fill in (KUBECONFIG) · Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Fill in 1 setting(s)

    These are program settings, not keys. No sign-up needed; fill them in as the maker describes.

    • KUBECONFIG Path to the kubeconfig with the OCM hub context (and optional spoke contexts).

    Descriptions are as written by the maker.

  3. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  4. Fill in your key

    In the Ocm MCP Server settings, KUBECONFIG is empty; add your key and save

  5. Open the AI chat in Cursor in Agent mode

  6. Try it

    Use Ocm MCP Server and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Ocm MCP Server or shows a Ocm MCP Server tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • OCM_MCP_HUB_CONTEXT Kubeconfig context name of the OCM hub cluster (defaults to the current context).
  • OCM_MCP_READ_ONLY Set to 'true' to disable the gated write path entirely (read-only fleet access).

Descriptions are as written by the maker.

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

1 setting(s) to fill in (KUBECONFIG) · Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Fill in 1 setting(s)

    These are program settings, not keys. No sign-up needed; fill them in as the maker describes.

    • KUBECONFIG Path to the kubeconfig with the OCM hub context (and optional spoke contexts).

    Descriptions are as written by the maker.

  3. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  4. Fill in your key

    In the Ocm MCP Server settings, KUBECONFIG is empty; add your key and save

  5. Open the AI chat in VS Code in Agent mode

  6. Try it

    Use Ocm MCP Server and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Ocm MCP Server or shows a Ocm MCP Server tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • OCM_MCP_HUB_CONTEXT Kubeconfig context name of the OCM hub cluster (defaults to the current context).
  • OCM_MCP_READ_ONLY Set to 'true' to disable the gated write path entirely (read-only fleet access).

Descriptions are as written by the maker.

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Ocm MCP Server💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user ocm --env KUBECONFIG=your-value -- uvx ocm-mcp-server

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "ocm": {
      "command": "uvx",
      "args": [
        "ocm-mcp-server"
      ],
      "env": {
        "KUBECONFIG": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "ocm": {
      "command": "uvx",
      "args": [
        "ocm-mcp-server"
      ],
      "env": {
        "KUBECONFIG": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "ocm": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ocm-mcp-server"
      ],
      "env": {
        "KUBECONFIG": "your-value"
      }
    }
  }
}

Values you fill in

  • KUBECONFIG required env
    Path to the kubeconfig with the OCM hub context (and optional spoke contexts).
  • OCM_MCP_HUB_CONTEXT env
    Kubeconfig context name of the OCM hub cluster (defaults to the current context).
  • OCM_MCP_READ_ONLY env
    Set to 'true' to disable the gated write path entirely (read-only fleet access).

Descriptions are as written by the maker.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
36/wk
Licencei
Apache-2.0
Connection
Runs on your computer
Latest versioni
0.6.0
Published to registryi
Aug 30, 2026
Code last changedi
Oct 31, 2026
Maker
ocm-mcp-server
Packages
pypi: ocm-mcp-server
oci: ghcr.io/ocm-mcp-server/ocm-mcp-server:0.6.0
Website
github.com
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ocm-mcp-server, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 14 days ago

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

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User reviews

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Compared with others in Developer toolsi

  • More stars than 92% of the other 5866 servers in this category
  • Published to the registry more recently than 31% of the other 5866 servers in this category
  • Basic checks equal to or better than 100% of the other 5866 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Ocm MCP Server safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 14 days ago, and the latest version (0.6.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker on your computer.

What can I use instead?

In the same category: REA, GitHub, Serena MCP: the IDE for your agent

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

by morlutoWidely used↓ 388.7K/wk★ 455.4KUpdated 2 days ago

Runs on your computer

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.4KUpdated 11 days ago

Computer or cloud

Serena MCP: the IDE for your agent

A powerful toolkit for coding, providing semantic retrieval and editing capabilities.

by oraiosWidely used↓ 35.2K/wk★ 31.3KUpdated 6 months ago

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

ocm-mcp-server

[📖 Read the docs site → ocm-mcp-server.github.io](https://ocm-mcp-server.github.io/)

Star us ❤️ →

AgentOps for Kubernetes fleets, done safely.

An MCP server that lets AI agents operate a multi-cluster Kubernetes fleet through an [Open Cluster Management](https://open-cluster-management.io/) hub, with policy, approval, and audit between the model and your clusters.

*The agent never holds a kubeconfig. Every write is policy-checked, human-approved, and traced.*

[📦 Get it](#where-to-get-it-and-how-its-vetted) · [✨ Why](#why-this-exists) · [🔌 Connect your agent](#connect-your-agent---any-mcp-client-works) · [🧭 Architecture](#architecture) · [🧰 Toolsets](#toolsets) · [🛠️ Tools](#tools) · [💬 Prompts](#prompts) · [🔭 Observability](#observability---audit-tracing-opentelemetryjaeger-metrics) · [🚀 Quickstart](#quickstart-laptop-15-minutes) · [📖 Wiki](https://github.com/ocm-mcp-server/ocm-mcp-server/wiki) · [📚 Docs](#documentation)

The whole safe-remediation loop: investigate with free reads, propose a change, get rejected by the guardrails and correct it, wait for a human-signed token, apply, verify, and report from the audit log.


Where to get it, and how it's vetted

  • 📦 [PyPI - `ocm-mcp-server`](https://pypi.org/project/ocm-mcp-server/) - pip install ocm-mcp-server (or run directly with uvx ocm-mcp-server). Every release is published straight from CI via OIDC trusted publishing - no long-lived tokens anywhere.
  • 🗂️ [Official MCP Registry](https://registry.modelcontextprotocol.io/?q=ocm-mcp-server) - listed as io.github.ocm-mcp-server/ocm-mcp-server, so any MCP client or platform that browses the registry can discover and auto-configure this server (package, transport, and required env vars are all in the listing); the registry validates the listing against this repo and the PyPI package.
  • 🐳 [Container image on GHCR](https://github.com/ocm-mcp-server/ocm-mcp-server/pkgs/container/ocm-mcp-server) - docker run ghcr.io/ocm-mcp-server/ocm-mcp-server (kubeconfig mount shown in the deployment guide); built in CI with an SBOM and SLSA provenance attached, vulnerability-gated with Trivy, and signed keyless with Cosign so you can verify what you run.
  • 🛡️ [OpenSSF Scorecard](https://scorecard.dev/viewer/?uri=github.com/ocm-mcp-server/ocm-mcp-server) - the repo's supply-chain security posture (pinned dependencies, branch protection, signed releases, ...) is scored automatically every week and published for anyone to inspect.

Why this exists

Your team runs many Kubernetes clusters. Sooner or later somebody asks the question: can an AI agent take the 2 a.m. page?

The quickest way to find out is to hand a model kubectl with cluster-admin and watch. In production that experiment ends badly, for three separate reasons:

  • The model is non-deterministic. The same alert can produce a careful diagnosis one run and a kubectl delete the next.
  • The credentials are real. There is no dry run between the model's decision and your production cluster.
  • There is no record. When something breaks, you cannot reconstruct what the agent did, in what order, or on whose authority.

This project starts from a different observation: fleets already have a control point that humans trust every day, the multi-cluster hub. Open Cluster Management (a CNCF project) gives every fleet an inventory (ManagedCluster), a scheduler (Placement), and a delivery channel (ManifestWork). ocm-mcp-server exposes that hub to agents as a small set of typed MCP tools, and puts four independent layers between the model and your clusters:

#LayerEnforced byWhat it stops
1Static checksthis server, before anything elseprivileged pods, host access, system namespaces, unpinned images, disallowed kinds
2Policy admissionKyverno dry-run on the hubanything your org's policies reject, evaluated inside the ManifestWork envelope
3Human approvalEd25519 token signed by ocm-mcp approve on a trusted terminal; the server needs only the public verifier keyany change reaching a cluster without a person consenting to that exact content and operation (one-time token, bound to content + operation + issuer/audience + expiry)
4Least-privilege RBACKuberneteseverything else; no Secrets, no exec, no deletes outside its own ManifestWorks

None of these layers live in the system prompt, so none of them can be talked out of.

A write is two calls with a person between them. The token is bound to one content hash and one operation, it expires on its own, and offered a second time it is refused.

Two writes, the same four gates. The privileged, unpinned one dies at Layer 1 and never reaches a cluster; the compliant one waits for a person to sign the exact content, then lands and is verified.

A fleet operator's day with Claude , live from a cold start: install from PyPI, claude mcp add , inventory the fleet, reason about placement — then ship a new service the gated way: the privileged :latest shortcut is refused , the pinned proposal is signed by a human , applied with the token, verified, and the whole day is read back from the audit trail . — narrated MP4 · terminal cast .

The same day, driven by four different agents. Identical ten chapters, identical server - only the agent asking changes, which is the whole point of speaking MCP rather than shipping a client. Codex · Gemini (Antigravity CLI) . Re-record any

Only the beginning is shown; read the rest in the repo