Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Audit an MCP config, price a model, size a GPU, explain network config drift. Key-free.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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:0.1.1Paste 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.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account labaccessnow, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
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.
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.
| Tool | What it answers |
|---|---|
estimate_llm_cost | What does this workload cost per month on each model, cheapest first? |
check_vram_fit | Does a 70B model at Q4 fit on my 4090 with a 32K context? |
audit_mcp_config | Is this MCP config safe to trust — what can each server actually reach? |
lookup_mcp_server | What is this server, who maintains it, and is it reference, vendor or community? |
explain_config_diff | What changed on this router between two snapshots, and how bad is it? |
check_config_compliance | Does this device config pass the CIS/PCI basics? |
latest_field_note | What happened in AI ops this week? |
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.
audit_mcp_config takes the config as text, so the server never reads your disk.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.
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.
MIT © Larkwright LLC. Written by James Son — network, security, and automation engineer — and tested in a live multi-vendor lab. Contributions and corrections welcome.