Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

AIOps Field Notes

by labaccessnowversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.labaccessnow/aiops-field-notes-mcp

Install

Overview

Description from the maker (original English)

Audit an MCP config, price a model, size a GPU, explain network config drift. Key-free.

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: Docs, sheets & office work

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": {
    "aiops-field-notes": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/labaccessnow/aiops-field-notes-mcp:0.1.1"
      ]
    }
  }
}

Run this in your terminal

claude mcp add aiops-field-notes -- docker run -i --rm ghcr.io/labaccessnow/aiops-field-notes-mcp:0.1.1

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "aiops-field-notes": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/labaccessnow/aiops-field-notes-mcp:0.1.1"
      ]
    }
  }
}

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": {
    "aiops-field-notes": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/labaccessnow/aiops-field-notes-mcp:0.1.1"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account labaccessnow, 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 Docs, sheets & office worki

  • More stars than 0% of the other 2195 servers in this category
  • Published to the registry more recently than 33% of the other 2195 servers in this category
  • Basic checks equal to or better than 100% of the other 2195 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 AIOps Field Notes 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 (0.1.1) reached the registry 2 months 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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

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

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago
Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 4 days ago
Install

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.

AIOps Field Notes MCP server

Four things I kept doing by hand while running AI in production, turned into tools an agent can call: price a model before committing a budget, size a GPU before ordering one, review an MCP config before trusting it, and explain what changed in a network device config.

Free, MIT, no account, no telemetry.

Install

Pin the version — see audit_mcp_config for why.

Claude Code

claude mcp add aiops-field-notes -- npx -y github:getlarkwright/aiops-field-notes-mcp#v0.1.2

Claude Desktop, Cursor, or any client with a JSON config

{

"mcpServers": { "aiops-field-notes": { "command": "npx", "args": ["-y", "github:getlarkwright/aiops-field-notes-mcp#v0.1.2"] } } }

Docker

{

"mcpServers": { "aiops-field-notes": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/getlarkwright/aiops-field-notes-mcp:0.1.2"] } } }

Node 18 or newer for the npx route; nothing else to configure either way. The server is also in the official MCP registry as io.github.getlarkwright/aiops-field-notes-mcp.

Tools

ToolWhat it answers
estimate_llm_costWhat does this workload cost per month on each model, cheapest first?
check_vram_fitDoes a 70B model at Q4 fit on my 4090 with a 32K context?
audit_mcp_configIs this MCP config safe to trust — what can each server actually reach?
lookup_mcp_serverWhat is this server, who maintains it, and is it reference, vendor or community?
explain_config_diffWhat changed on this router between two snapshots, and how bad is it?
check_config_complianceDoes this device config pass the CIS/PCI basics?
latest_field_noteWhat happened in AI ops this week?
audit_mcp_config

The one I use most. Paste a client config and it reads it the way a reviewer would — every server entry is an access grant, so the questions are what it can reach, who publishes it, and what happens the next time it auto-updates:

6 servers reviewed — 7 high, 6 medium, 0 low.

files [high] Package version is not pinned files runs "@modelcontextprotocol/server-filesystem" at whatever version is published when it launches. fix: Pin it — "@modelcontextprotocol/server-filesystem@ " for npm, "@modelcontextprotocol/server-filesystem== " for uvx — and bump deliberately. [high] Filesystem root is wide open files is granted "/" — that is the whole home directory or the whole disk, including keys and browser profiles. fix: Scope the server to the project directories the agent actually works in. [medium] Installs without prompting files passes -y, so a new release installs and runs with no confirmation. fix: Keep the flag only alongside a pinned version, so what installs is what you reviewed.

notes [high] Package version is not pinned notes runs "some-random-notes-mcp" at whatever version is published when it launches. fix: Pin it — "some-random-notes-mcp@ " for npm, "some-random-notes-mcp== " for uvx — and bump deliberately. [high] Secret is stored in the config file notes has NOTES_API_KEY written out in plaintext; config files get committed, synced and screenshared. fix: Reference the environment instead — "NOTES_API_KEY": "${NOTES_API_KEY}" — and keep the value in your secret store. [medium] Installs without prompting notes passes -y, so a new release installs and runs with no confirmation. fix: Keep the flag only alongside a pinned version, so what installs is what you reviewed. [medium] Publisher not in the tracked set "some-random-notes-mcp" is not one of the reference or vendor servers this directory tracks. fix: Read the source and check the publisher before wiring it into an agent that touches production.

It also flags shell entrypoints, privileged containers, host-root mounts, credentials on the command line, database access that is not read-only, unauthenticated remote servers, and anything reached over plain HTTP.

What it does not do

  • No account, no signup, no key.
  • No telemetry. Nothing about your usage leaves your machine.
  • No filesystem access. audit_mcp_config takes the config as text, so the server never reads your disk.
  • One network call in the whole package: latest_field_note fetches a public RSS feed. Skip that tool and this server never opens a socket.

The cost table, GPU list and server directory match the calculators at aiopsfieldnotes.com/tools and get re-verified with each weekly episode. Pricing moves — check the vendor's page before you commit a budget to it.

Where the network tools come from

explain_config_diff and check_config_compliance are the read-only core of DriftWatch, which runs the same rules nightly across a fleet and keeps the history. Here you get the single-shot version, on two snapshots you paste, with no storage and no scheduler. That is deliberate: the rules are the useful part, and they work fine on their own.

Licence

MIT © Larkwright LLC. Written by James Son — network, security, and automation engineer — and tested in a live multi-vendor lab. Contributions and corrections welcome.

Ask PopNx