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

lastwords

by Arvo-AIversion 0.1.5i★ –iRuns on your computer
Registry nameio.github.Arvo-AI/lastwords

Install

Overview

Description from the maker (original English)

Heap histograms, Go profiles, crash logs and core dumps from Kubernetes pods before they died.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "lastwords": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/arvo-ai/lastwords:v0.1.5",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add lastwords -- docker run -i --rm ghcr.io/arvo-ai/lastwords:v0.1.5 mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "lastwords": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/arvo-ai/lastwords:v0.1.5",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "lastwords": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/arvo-ai/lastwords:v0.1.5",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

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

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Arvo-AI, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – 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

Compared with others in Developer toolsi

  • More stars than 0% of the other 5548 servers in this category
  • Published to the registry more recently than 81% of the other 5548 servers in this category
  • Basic checks equal to or better than 100% of the other 5548 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 lastwords safe?

It passed 1 of 1 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 –, and the latest version (0.1.5) reached the registry 3 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

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★ 34.2KUpdated 5 days ago

Computer or cloud

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by wonderwhy-erWidely used↓ 709.6K/wk★ 10.2KUpdated 17 days ago

Runs on your computer

Cloudflare MCP

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by cloudflareWidely used★ 4.4KUpdated 14 months ago

Runs in the cloud✓ mcp.cloudflare.com

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.

lastwords

Memory snapshots before OOM kills, and logs and core dumps from crashes, for Kubernetes.

lastwords runs on every node. When a container gets close to its memory limit, it records what is using the memory. When a container dies, it saves the logs of that instance, the pod's events and any core dump. Everything stays on the node (or in S3), and you can read it with kubectl lastwords or from an AI agent over MCP.

helm install lastwords oci://ghcr.io/arvo-ai/charts/lastwords -n lastwords --create-namespace

The problem

When you look at a pod that died hours ago, most of the evidence is gone:

  • OOMKilled leaves no heap dump. The kernel kills the process with SIGKILL. -XX:+HeapDumpOnOutOfMemoryError never fires, and Go, Node and Python get no warning either.
  • `kubectl logs --previous` only keeps one restart. After a few crash-loop restarts, the logs from the first failure are gone.
  • Events expire after one hour (--event-ttl, default 1h).
  • Core dumps go nowhere. core_pattern is set per node, so crashing containers either dump nothing or dump to a path inside a container that is about to be deleted.

None of it can be recovered later. It has to be collected while the container is alive or right after it dies, which is what lastwords does.

What it captures

WhenWhat lastwords saves
A container nears its memory limit (90%, again at 97%, or earlier if it is climbing fast)Memory breakdown (heap vs page cache vs kernel), a memory timeline, processes. Java: class histogram, heap info, native memory, thread dump. Go: heap profile with the top allocation sites. Optional full heap dump.
A container is OOMKilledThe memory curve up to the kill, logs of the instance that died, pod events, and links to the snapshots taken before the kill
A process inside a container is OOM-killed but the container survivesWhat Kubernetes never reports: which process died and the memory state
A container crashes (non-zero exit, signal)Log tail of the dead instance, the crash site parsed from Go/Java/Python stack traces, events, exit code meaning
A process dumps core (SIGSEGV, SIGABRT, ...)The gzipped core, memory maps, binary and image, matched to the pod
A pod is evictedEviction reason, every container's logs, events

Every capture comes with a summary.md that says what happened in plain words:

# checkout-5498f94695-526hm/checkout was OOMKilled at 16:51:38 UTC (limit 384.0 MiB); 1 snapshot taken before the kill

What lastwords found

  • Memory climbed steadily for 1m1s, the pattern of a leak or an unbounded cache. Raising the limit would only delay the next kill.
  • Before the kill (67% of limit): Largest application classes on the heap: com.example.checkout.CheckoutService$CartSnapshot: 2860 instances ...
  • Before the kill (67% of limit): One class dominates the Java heap: byte[] holds 179.2 MiB (97%).

order-consumer-76d5fcb94-8vm4p/consumer crashed at 03:09:30 UTC: Error, exit code 2

What lastwords found

  • Crashed in main.registerDiscount at /src/main.go:19 (assignment to entry in nil map).

Use it

kubectl lastwords list                      # everything from the last 7 days

kubectl lastwords list -n shop --kind oomkill kubectl lastwords show 20261102T030712Z-af14b5 kubectl lastwords get 20261102T030712Z-af14b5 jvm-class-histogram.txt kubectl lastwords top # containers closest to their memory limit right now

Install the CLI (it is also a kubectl plugin):

# macOS / Linux

curl -sSL https://github.com/Arvo-AI/lastwords/releases/latest/download/lastwords_$(uname -s)_$(uname -m | sed s/aarch64/arm64/).tar.gz | tar xz sudo mv lastwords /usr/local/bin/ && sudo ln -sf /usr/local/bin/lastwords /usr/local/bin/kubectl-lastwords

The CLI talks to the agents through the Kubernetes API server, so it needs nothing but your kubeconfig.

Guides

Measured on EKS with the failures in this repo; every command and output is from a real run.

  • Get a Java heap histogram before Kubernetes OOMKills the pod
  • Why -XX:+HeapDumpOnOutOfMemoryError never writes a file in Kubernetes
  • Java pod OOMKilled at 80% of its memory limit
  • Get core dumps from crashing Kubernetes pods
  • Find what is leaking in a Go pod before it is OOMKilled

Agent eval: setup, grader and every transcript from 24 runs with and without lastwords.

Let your AI agent read it

lastwords ships an MCP server. Claude Code, Codex, Cursor and any MCP client can list and read captures:

claude mcp add lastwords -- kubectl-lastwords mcp

codex mcp add lastwords -- kubectl-lastwords mcp

Then ask: *"the checkout pods restarted overnight, why?"* Tools: lastwords_list_captures, lastwords_get_capture, lastwords_read_file, lastwords_watchlist. All read-only.

Get told

helm upgrade lastwords oci://ghcr.io/arvo-ai/charts/lastwords -n lastwords --reuse-values \

--set notifications.slackWebhookUrl=https://hooks.slack.com/services/... \ --set notifications.webhookUrl=https://your-service/lastwords \ --set notifications.webhookSecret=$(openssl rand -hex 32)

With a secret set, every webhook delivery is signed: X-Lastwords-Signature: sha256= . ">. Verify it before acting on the event, and reject old timestamps:

import hmac, hashlib, time

def verify(secret: bytes, headers, body: bytes, tolerance=300) -> bool: ts = headers["X-Lastwords-Timestamp"] if abs(time.time() - int(ts)) > tolerance: return False want = "sha256=" + hmac.new(secret, ts.encode() + b"." + body, hashlib.sha256).hexdigest() return hmac.compare_digest(want, headers["X-Lastwords-Signature"])

Go receivers can use github.com/Arvo-AI/lastwords/webhook.Verify.

Every capture also becomes a Kubernetes Event on the pod (LastWordsOOMKill, LastWordsMemoryPressure, LastWordsCrash, ...), so it shows up in kubectl describe pod and anything that watches events. Prometheus metrics are on :9095/metrics.

Configuration

Common settings (see values.yaml for all):

ValueDefault
capture.threshold0.90Capture at this share of the memory limit (working set, like the kubelet)
capture.lastGasp0.97Second capture right before the kill
capture.predictivetrueCapture early if the limit will be hit within predictSeconds
capture.jvmGCHeadroom0.25A JVM with -Xmx above the limit can be killed by a GC before memory reaches 100% (80% with SerialGC in our EKS test), so its tiers aim below that
capture.heapDumpsfalseFull Java heap dumps for every JVM. Pods can opt in with the lastwords.dev/heap-dump: "true" annotation
capture.goPprofPort6060Where Go programs serve net/http/pprof
coreDumps.enabledfalseCapture core dumps (sets the node's kernel.core_pattern, needs a privileged agent)
storage.maxBytes5 GiBDisk budget per node
s3.bucketUpload captures to S3, GCS (interoperability) or MinIO
ignoreNamespaces[kube-system]Never watch these
api.createSecrettrueCreate the API token secret. Set false with Argo CD or Flux and create lastwords-api yourself (why)

Pod annotations:

Annotation
lastwords.dev/ignore: "true"Don't watch this pod
lastwords.dev/threshold: "0.8"Per-pod capture threshold
lastwords.dev/heap-dump: "true"Allow a full heap dump for this pod
lastwords.dev/pprof-port: "8080"Go pprof port

Uninstall

helm uninstall lastwords -n lastwords

On shutdown the agent puts the node's original core_pattern back (checked on EKS: systemd-coredump again after uninstall). Captures and the core helper binary stay in /var/lib/lastwords on each node, so a reinstall keeps your history, and a node whose agent was killed before it could restore core_pattern still has a working helper to hand cores to. Delete that directory on the nodes to remove everything.

How it works

A DaemonSet runs one small agent per node (a static Go binary; requests 20m CPU and 48 MiB). Measured on EKS (t3.large, Amazon Linux 2023): 8m CPU and 12 MiB on a quiet node, 20m CPU and 15 MiB with 35 containers, about 0.5m CPU per container watched.

  1. It reads every container's memory accounting from the node's cgroup tree twice a second (memory.current, memory.stat, memory.events, PSI), computes the working set the way the kubelet does, and keeps a 10-minute timeline.
  2. When a container crosses the threshold, or is climbing fast enough to hit its limit within 15 seconds, it collects evidence while the process is still alive. For the JVM it uses the HotSpot attach protocol (what jcmd uses) from outside the container; nothing is installed in your images. For Go it pulls /debug/pprof/heap.
  3. It watches pods on its node. When a container terminates with an error, it copies the dead instance's log file before the next restart rotates it, and saves the pod's events.
  4. With core dumps on, it points kernel.core_pattern at a small helper that writes the gzipped core next to the captures, and the agent matches it to the pod.
  5. Captures stay on the node's disk under a size and age budget, optionally upload to S3, and are served to the CLI and MCP server through the API server's pod proxy.

More in docs/how-it-works.md.

Security

lastwords reads other processes' memory accounting, so it needs node-level access. Read docs/security.md before installing it in production. In short:

  • Without core dumps the agent is not privileged. It runs with hostPID and the capabilities SYS_PTRACE, DAC_READ_SEARCH, DAC_OVERRIDE, CHOWN, FOWNER, KILL, plus a read-only root filesystem.
  • Core dumps need privileged to set kernel.core_pattern. They are off by default.
  • Full heap dumps are off by default because they contain whatever was in memory. The default class histogram contains class names and counts, not data.
  • Command lines are redacted for arguments that look like secrets.
  • Reading captures needs RBAC on pods/proxy in the lastwords namespace plus the API token secret. The chart creates a lastwords-reader Role.

FAQ

My pod was OOMKilled. How do I find out what used the memory? If lastwords was running, kubectl lastwords list --kind oomkill shows the kill, and the linked pressure capture shows what was using memory before it. If it wasn't running, nothing can recover that information. Install it so the next kill is captured.

Why didn't `HeapDumpOnOutOfMemoryError` produce a heap dump? That flag fires when the JVM itself runs out of heap. A container OOM kill is the kernel sending SIGKILL when the whole process (heap plus metaspace, threads, direct buffers, native memory) hits the

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