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

Airlock

by adamoradversion 2.0.0i★ –iRuns on your computer
Registry nameio.github.adamorad/airlock

Install

Overview

Description from the maker (original English)

Local daemon giving AI agents named locks, shared state, events, and a task queue over MCP.

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: Streamable HTTP
  • 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": {
    "airlock": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/adamorad/airlock:2.0.0"
      ]
    }
  }
}

Run this in your terminal

claude mcp add airlock -- docker run -i --rm ghcr.io/adamorad/airlock:2.0.0

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "airlock": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/adamorad/airlock:2.0.0"
      ]
    }
  }
}

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": {
    "airlock": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/adamorad/airlock:2.0.0"
      ]
    }
  }
}

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 adamorad, 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 3532 servers in this category
  • Published to the registry more recently than 14% of the other 3532 servers in this category
  • Basic checks equal to or better than 100% of the other 3532 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 Airlock 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 (2.0.0) reached the registry 5 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
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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 7 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
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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.

Airlock

Run five agents on one repo without them stomping on each other.

Named resource locks, atomic shared state, presence, events, and a task queue for AI agents — exposed over a local HTTP MCP server that's always running, so any session, terminal, or CI job can coordinate with any other. Cross-platform Go daemon, SQLite-backed, with real blocking waits — no more poll loops.

*Two agents reach for the same npm-install lock — one wins, the other blocks on a server-side wait and acquires the instant the first releases.*

Agent A                          Agent B

────── ────── lock_resource("npm-install") lock_resource("npm-install", wait_seconds=50) → { locked: true, lock_token } (parked — the daemon holds the connection open) npm install ... unlock_resource(lock_token) → { locked: true, lock_token } ← wakes instantly npm install ...

The problem

Open two Claude Code sessions on the same repo — one adding auth, one adding notifications. Both reach for npm install at the same time. Both pick 003_ as the next migration filename. Neither knows the other exists.

There's no shared state. No handoff. No way for one agent to know what another is doing. Coordination lives in fragile prompt instructions ("please wait until migrations finish") that nothing enforces.

How it works

Airlock is a single Go daemon that runs as a background service — always on, surviving IDE and terminal restarts. It listens on 127.0.0.1:27183 and speaks MCP over HTTP. Any agent that has it configured can:

  • acquire locks — and *block* on a contended one (wait_seconds, up to 50s), so the daemon parks the caller and wakes it the instant the lock frees. No agent-authored retry loops.
  • share atomic state — increment_counter for collision-free unique numbers, set_note_if for compare-and-swap. Read-modify-write is race-free, not best-effort.
  • announce presence — register_agent heartbeats; when an agent dies, its locks release and its waiters wake immediately.
  • signal events — generation-counted signal_event / wait_for_event for handoffs without polling.
  • queue work — a small task queue with presence-bound leases that auto-requeue on crash.

State lives in SQLite (WAL mode) at ~/.airlock/state.db — transactional, crash-safe, with concurrent readers and a single writer. The store is pure-Go (modernc.org/sqlite, no cgo), which is what makes the Linux build a trivial cross-compile. One binary, no language runtime, no external database.

Install

(a) go install
go install github.com/adamorad/airlock/v2@latest   # builds the `airlock` binary

airlock install-service # launchd (macOS) / systemd user unit (Linux)

(b) Homebrew
brew install adamorad/tap/airlock

airlock install-service

(c) Build from source
git clone https://github.com/adamorad/airlock.git

cd airlock go build -o airlock . sudo install airlock /usr/local/bin/airlock # or anywhere on your PATH airlock install-service

install-service registers an always-on background service (and unloads the old v1 LaunchAgent if present, so the v2 daemon takes port 27183 cleanly).

Verify
airlock status

Airlock — 127.0.0.1:27183

#

LOCKS (0)

(none)

...

Configure your agent

Claude Code — one command:

claude mcp add --transport http airlock http://localhost:27183

Cursor / Windsurf / any MCP client — add this to your MCP config:

{

"mcpServers": { "airlock": { "type": "http", "url": "http://127.0.0.1:27183" } } }

On Linux (and any multi-user host) a bearer token is required — loopback is shared across all users there, so it isn't an authorization boundary on its own. The daemon writes a 0600 token to ~/.airlock/token on first run; send it as an Authorization: Bearer header:

{

"mcpServers": { "airlock": { "type": "http", "url": "http://127.0.0.1:27183", "headers": { "Authorization": "Bearer " } } } }

On macOS the daemon is loopback-only by default and the token is optional. AIRLOCK_TOKEN overrides the file on any OS.

Tools

Airlock exposes 22 tools over MCP. Every tool result is a JSON object (the list_* tools return a JSON array). TTLs are in ttl_seconds; ttl_minutes is accepted as a deprecated alias.

Locks
ToolArgsReturns
lock_resourcename, agent_id, ttl_seconds?=900, wait_seconds?=0 (cap 50), wake_token?{locked:true, lock_token, expires_in_seconds} — or, if contended, {locked:false, held_by, expires_in_seconds} plus {wake_token, queue_position, retry_with} when you were queued
unlock_resourcename, lock_token (preferred) or agent_id{released: bool}
renew_lockname, lock_token (preferred) or agent_id, ttl_seconds?=900{renewed:true, expires_in_seconds} or {renewed:false, error}
list_locks—[{name, agent_id, expires_in_seconds}]
lock_resourcesnames:[string], agent_id, ttl_seconds?=900all-or-nothing: {locked:true, tokens:{name:token}} or {locked:false, held_by}

wait_seconds is the coordination-by-default knob: pass it (up to 50) and lock_resource blocks server-side until the lock frees, instead of returning locked:false immediately. The cap stays under Claude Code's 60s default per-tool-call timeout. The returned `lock_token` is a capability — unlock_resource/renew_lock require it (the agent_id path is kept for v1 compatibility). lock_resources acquires in a documented lock-ordering (lexicographic by name) so two callers can't deadlock.

Notes & State
ToolArgsReturns
set_notekey, value, author?, ttl_seconds?{saved:true}
get_notekey{key, value, author?, expires_in_seconds?} or {found:false}
list_notes—[{key, value, author?, expires_in_seconds?}]
delete_note *(v2)*key{deleted: bool}
set_note_if *(v2)*key, expected_value, new_value, author?, ttl_seconds?{swapped: bool} (true only if the stored value equaled expected_value; an absent/expired note counts as "")
increment_counter *(v2)*name, by?=1{value} (post-increment; collision-free under concurrency)
Presence
ToolArgsReturns
register_agent *(v2)*agent_id, ttl_seconds?=60{registered:true, expires_in_seconds} — re-call to stay alive; when it lapses the agent's locks auto-release
unregister_agent *(v2)*agent_id{unregistered:true} — also releases held locks
list_agents *(v2)*—[{agent_id, expires_in_seconds}]
Events
ToolArgsReturns
signal_event *(v2)*name{generation} (the new, bumped generation; wakes all waiters)
wait_for_event *(v2)*name, last_seen_generation?=0, wait_seconds?=25 (cap 50){generation, fired} — blocks until the generation advances past last_seen_generation, or the window expires (fired:false)
clear_event *(v2)*name{cleared:true}

Events are generation-counted, not latched: pass back the generation you last saw and a signal that fired between calls is never missed.

Tasks
ToolArgsReturns
push_task *(v2)*queue, payload, author?, priority?=0{id} (higher priority / older claimed first)
claim_next_task *(v2)*queue, agent_id, lease_seconds?=120{claimed:true, id, payload, lease_token} or {claimed:false}
complete_task *(v2)*id, lease_token{completed: bool}
fail_task *(v2)*id, lease_token, requeue?=true{failed: bool} (requeue=true returns it to pending; false gives up)
list_tasks *(v2)*queue[{id, queue, payload, priority, state, author?, lease_agent?, lease_expires_in_seconds?}]

A claim is a lease: if the claimant doesn't complete_task/fail_task within lease_seconds, the task auto-requeues for another consumer — no work is lost to a crashed worker. The lease_token from claim_next_task is the capability complete_task/fail_task require.

Naming conventions

Use consistent names so agents understand each other:

  • Files: file:/abs/path/to/package.json
  • Processes: npm-install, db-migrations, tests:unit
  • Agent identity: agent:claude-session-abc

Recipes

(a) Serialize edits to one file with a blocking lock

Two subagents both need to edit package.json. They serialize on a single lock — the second one *blocks* (no retry loop) and wakes the instant the first releases.

# Subagent A — block up to 50s to acquire, edit, release.

A=$(curl -s -X POST localhost:27183 -H 'Content-Type: application/json' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"lock_resource","arguments":{"name":"file:/repo/package.json","agent_id":"sub-A","wait_seconds":50}}}' \ | jq -r '.result.content[0].text | fromjson | .lock_token')

...edit the file...

curl -s -X POST localhost:27183 -H 'Content-Type: application/json' \ -d "{\"jsonrpc\":\"2.0\",\"id\":2,\"method\":\"tools/call\",\"params\":{\"name\":\"unlock_resource\",\"arguments\":{\"name\":\"file:/repo/package.json\",\"lock_token\":\"$A\"}}}" \ | jq -c '.result.content[0].text | fromjson' # → {"released":true}

Subagent B — the same call with wait_seconds=50 parks until A releases, then

returns {locked:true, lock_token} the moment the lock frees. No polling.

(b) Unique migration filenames — race-free

The classic v1 hazard: two agents get_note the counter at the same instant, both read 003, both write 004. In v2 there is no read-modify-write to lose — increment_counter is atomic, so 100 concurrent callers get 100 distinct numbers.

curl -s -X POST localhost:27183 -H 'Content-Type: application/json' \

-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"increment_counter","arguments":{"name":"migration-seq"}}}' \ | jq -c '.result.content[0].text | fromjson' # → {"value":4}

Use the returned value: create 0004_*.sql. The next caller gets 5, never a collision.

(c) Producer/consumer handoff via the task queue

A planner agent pushes work; one or more worker agents claim it. A lease means a crashed worker's task auto-requeues instead of vanishing.

# Producer — enqueue a unit of work.

curl -s -X POST localhost:27183 -H 'Content-Type: application/json' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"push_task","arguments":{"queue":"build","payload":"compile module X","author":"planner"}}}' \ | jq -c '.result.content[0].text | fromjson' # → {"id":1}

Consumer — claim the next task, do the work, complete it with the lease token.

CLAIM=$(curl -s -X POST localhost:27183 -H 'Content-Type: application/json' \ -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"claim_next_task","arguments":{"queue":"build","agent_id":"worker-1"}}}' \ | jq -c '.result.content[0].text | fromjson') # → {"claimed":true,"id":1,"payload":"compile module X","lease_token":"..."} ID=$(echo "$CLAIM" | jq -r .id); TOK=$(echo "$CLAIM" | jq -r .lease_token)

...do the work...

curl -s -X POST localhost:27183 -H 'Content-Type: applicatio

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