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VMware Debug

by zw008version 1.8.7i★ –iRuns on your computer
Registry nameio.github.zw008/vmware-debug

Install

Overview

Description from the maker (original English)

Read-only VMware incident correlation: timeline, spikes, root-cause routing. 2 MCP tools.

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: Other

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

  • PyPIPython’s uv installed (for the uvx command)

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": {
    "vmware-debug": {
      "command": "uvx",
      "args": [
        "vmware-debug"
      ]
    }
  }
}

Run this in your terminal

claude mcp add vmware-debug -- uvx vmware-debug

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "vmware-debug": {
      "command": "uvx",
      "args": [
        "vmware-debug"
      ]
    }
  }
}

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": {
    "vmware-debug": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "vmware-debug"
      ]
    }
  }
}

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account zw008, 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 Otheri

  • More stars than 0% of the other 32371 servers in this category
  • Published to the registry more recently than 19% of the other 32371 servers in this category
  • Basic checks equal to or better than 100% of the other 32371 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 VMware Debug 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 (1.8.7) reached the registry 4 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) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Opencu

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Independent local computer-use engine and MCP server for macOS, Windows, Linux and Android

Runs on your computerUpdated today
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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.

VMware Debug

For a read-only check of this skill with your model and agent host, use the shared model-fit self-test in the marketplace root.

Disclaimer: Community-maintained open-source project, **not affiliated with,

endorsed by, or sponsored by VMware, Inc. or Broadcom Inc.** "VMware" and

"vSphere" are trademarks of Broadcom. Source is publicly auditable under the MIT

license.

The diagnostic brain of the VMware skill family. You bring the symptom (an error, a log dump, a slow VM); this skill runs a systematic investigation, correlates events from the other skills into one timeline, ranks root-cause hypotheses, and tells you what to check next. It never touches vSphere — it connects to nothing and never executes fixes; its only writes are to a local case ledger under $OPS_HOME. Remediation is routed to vmware-aiops (single op) or vmware-pilot (multi-step, gated), mirroring the vmware-harden → vmware-pilot advisor/executor split.

See skills/vmware-debug/SKILL.md for the full methodology, the event-envelope contract, and symptom routing.

Upgrading to 2.0

2.0 renames 13 of its 14 MCP tools so every name starts with a verb (e.g. case_close → close_case, case_get → get_case, case_grade → grade_case). The full old → new table is in RELEASE_NOTES.md. Nothing else changes: same tools, parameters, safety gates and CLI commands. If an agent prompt, script or ~/.vmware/rules.yaml names a tool, update it — though deny rules written with the old names keep working with vmware-policy ≥ 1.18.1 (vmware-audit policy lists any rule the renames widened), and vmware-pilot ≥ 1.13 translates old names in saved workflows. If an install older than 2.0 shares that rules.yaml, give it vmware-policy ≥ 1.18.2 too: it matches each rule against both the old and the new name, so one file serves both.

Companion Skills

NeedSkill
Incident correlation / root causevmware-debug (this project)
Centralized log searchvmware-log-insight (feed its search_logs results here)
vCenter events and alarmsvmware-monitor
Metrics / anomaliesvmware-aria
Executing a fixvmware-aiops (single op) / vmware-pilot (multi-step, gated)

Install

uv tool install vmware-debug

vmware-debug categories # see which symptom categories it can diagnose

MCP tools (14 — 7 read, 7 write)

The seven writes go to the local case ledger only; none reaches a VMware system.

Correlation — stateless, for a single look:

ToolWhat
build_incident_timeline[READ] Correlate pre-fetched events → timeline + spikes + ranked hypotheses + next-check ideas
list_symptom_categories[READ] List recognised symptom categories + what to check for each

Investigation ledger — for an incident you will reason about over time:

ToolWhat
open_case[WRITE] Define the event; returns a case id and the grade this environment can reach
get_case_readiness[READ] What grade this environment can reach, per symptom category, before you start
get_case_knowledge[READ] Which knowledge formats are accepted, what is mounted, and which entries apply to a case
plan_case[READ] What to fetch next — skill, tool and purpose per step; recomputed from the case's current state
list_cases[READ] Cases, newest first
get_case[READ] One case: scope, ledger sizes, grade history
record_case_hypothesis[WRITE] Register a candidate explanation, or read the ledger of what supports and refutes each
submit_case_evidence[WRITE] Record one retrieved fact, with its source, query and time basis
record_case_gap[WRITE] Record what could not be retrieved, and how to close it
record_case_timeline[WRITE] Correlate everything the case has collected into one timeline
grade_case[WRITE] Recompute the conclusion grade from the ledger and record it
close_case[WRITE] Record the final grade, archive, and name what was left open

Event envelope: {ts, source, severity, entity, text, fields}. The agent normalizes events from each source into this shape before handing them to debug, so debug has zero runtime dependency on the other packages. Keep each event's `event_type` in `fields` — the classifier matches it as well as the text, and most modern vSphere events are EventEx: the text is a generic boilerplate sentence, and only eventTypeId says what the event actually is.

Security

Offline and credential-free by construction: it connects to no vCenter/NSX/Aria, has no destructive surface on VMware, and holds no secret to leak. The only writes are the local case ledger: evidence, gaps, hypotheses and grade history are append-only; timeline.md is regenerated from the evidence, and case.json holds the current grade and status. The same holds with several writers: every write to a case first takes that case's lock file (.ledger.lock, exclusive create), so two processes writing the same case in a shared $OPS_HOME are serialized instead of dropping each other's entries; every file is written under a temporary name and then moved into place, so a reader never sees a half-written file (on a file system without hard links, a new evidence file is instead created in place: still never overwritten, but it can be read half-written). A lock left behind by a crashed process is reported together with its holder and never deleted automatically; delete it by hand once you have confirmed no process is writing that case. Released versions 1.11.3 and earlier do not take this lock, so every machine sharing a case directory must upgrade. See SECURITY.md.

Offline / Air-Gapped Install (from source)

This project uses the modern PEP 517 build system (hatchling), so there is no `setup.py` by design — that is expected, not a missing file. If you cloned the source and hit ERROR: File "setup.py" or "setup.cfg" not found ... editable mode currently requires a setuptools-based build, your pip is older than 21.3 and cannot do an *editable* (-e) install with a non-setuptools backend. Editable mode is a developer convenience, not needed to run the tool — do one of:

# From the source tree — a normal (non-editable) install builds a wheel:

pip install . # NOT pip install -e .

...or upgrade pip first, and editable works too:

pip install --upgrade pip && pip install -e .

For a truly air-gapped host, build the wheels on a connected machine and copy them over — the target then needs no network:

# On a connected machine, collect this package + its dependencies as wheels:

pip wheel . -w dist # → dist/*.whl (or: uv build, for just this package)

Copy dist/ to the air-gapped host, then install offline:

pip install --no-index --find-links dist vmware-debug

Remote access (HTTPS) and limiting tools

By default vmware-debug mcp speaks stdio to one local client and offers every tool. Two options change that (vmware-policy ≥ 1.21.0).

Serve over HTTPS so clients on other machines can connect. Every caller needs a bearer token:

vmware-audit token create alice          # prints the token once; give it to alice

vmware-audit token list # names only vmware-audit token revoke alice # refused from its next request, no restart vmware-debug mcp --transport https --host 0.0.0.0 --port 8443 \ --cert /etc/vmware-mcp/server.pem --key /etc/vmware-mcp/server-key.pem \ --public-name mcp.example.com

Connect a client (Claude Code shown; any MCP client that supports streamable HTTP and custom headers works):

claude mcp add --transport http vmware-debug https://mcp.example.com:8443/mcp \

--header "Authorization: Bearer $VMWARE_MCP_TOKEN"

{

"mcpServers": { "vmware-debug": { "type": "http", "url": "https://mcp.example.com:8443/mcp", "headers": { "Authorization": "Bearer ${VMWARE_MCP_TOKEN}" } } } }

  • The server will not start without a token, refuses Host/Origin values outside --public-name, and checks before it binds that unauthenticated requests get 401. Use a certificate your clients trust for those names.
  • Behind a TLS-terminating reverse proxy on the same machine use --transport http --host 127.0.0.1 --public-name mcp.example.com and pass the Authorization header through.
  • Behind a load balancer or gateway on another machine, keep --transport https (a self-signed certificate is fine), list in --public-name the host name the balancer sends as Host, and have it forward Authorization. Its health probe can use GET /healthz, which needs no token and returns only {"status": "ok"} (vmware-policy ≥ 1.23.0).
  • Send traceparent or X-Request-ID with each request to have it stored on the audit row; vmware-audit log --correlation-id ID then finds the calls behind one platform request.
  • The audit log records each caller as token: . Calls naming different targets run in parallel; calls that name no target run one at a time, so name the target when several people share a server.
  • Everyone who can reach the endpoint acts with this server's account. Tokens identify callers; they grant nothing on the platform. Run one endpoint per privilege level.
  • Several people or roles on one endpoint: run vmware-audit roles enable once, then give each token a role (vmware-audit token create NAME --role reader, or a role in roles.yaml naming tools and targets; vmware-policy ≥ 1.24.0). A role limits what the token may call on this endpoint; it cannot grant more than the account has. See vmware-policy's README, "Roles for network callers".

Offer only read tools, plus the writes you choose:

vmware-debug mcp --expose read --allow-write close_case

or: VMWARE_DEBUG_MCP_EXPOSE=read VMWARE_DEBUG_MCP_ALLOW_WRITE=close_case vmware-debug mcp

Tools not offered do not appear in the client's tool list. A bad value or an unknown write tool stops the server (exit 2). This limits what clients are offered; it is not authorization, so the account itself should be least-privilege.

Details: skills/vmware-debug/references/setup-guide.md ("Serving MCP over HTTPS", "Limiting which tools are offered").

License

MIT.

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