Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Descripción del creador (original en inglés)
Local daemon giving AI agents named locks, shared state, events, and a task queue over MCP.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"airlock": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add airlock -- docker run -i --rm ghcr.io/adamorad/airlock:2.0.0Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"airlock": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"airlock": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub adamorad, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (2.0.0) llegó al registro hace 5 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.
En la misma categoría: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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 ...
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.
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:
wait_seconds, up to 50s), so the daemon parks the caller and wakes it the instant the lock frees. No agent-authored retry loops.increment_counter for collision-free unique numbers, set_note_if for compare-and-swap. Read-modify-write is race-free, not best-effort.register_agent heartbeats; when an agent dies, its locks release and its waiters wake immediately.signal_event / wait_for_event for handoffs without polling.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.
go installgo install github.com/adamorad/airlock/v2@latest # builds the `airlock` binary
airlock install-service # launchd (macOS) / systemd user unit (Linux)
brew install adamorad/tap/airlock
airlock install-service
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).
airlock status
#
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.
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.
| Tool | Args | Returns |
|---|---|---|
lock_resource | name, 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_resource | name, lock_token (preferred) or agent_id | {released: bool} |
renew_lock | name, 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_resources | names:[string], agent_id, ttl_seconds?=900 | all-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.
| Tool | Args | Returns |
|---|---|---|
set_note | key, value, author?, ttl_seconds? | {saved:true} |
get_note | key | {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) |
| Tool | Args | Returns |
|---|---|---|
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}] |
| Tool | Args | Returns |
|---|---|---|
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.
| Tool | Args | Returns |
|---|---|---|
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.
Use consistent names so agents understand each other:
file:/abs/path/to/package.jsonnpm-install, db-migrations, tests:unitagent:claude-session-abcTwo 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=$(curl -s -X POST localhost:27183 -H 'Content-Type: application/json' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"lock_resource","arguments":{"name":"file:/repo/package.json","agent_id":"sub-A","wait_seconds":50}}}' \ | jq -r '.result.content[0].text | fromjson | .lock_token')
curl -s -X POST localhost:27183 -H 'Content-Type: application/json' \ -d "{\"jsonrpc\":\"2.0\",\"id\":2,\"method\":\"tools/call\",\"params\":{\"name\":\"unlock_resource\",\"arguments\":{\"name\":\"file:/repo/package.json\",\"lock_token\":\"$A\"}}}" \ | jq -c '.result.content[0].text | fromjson' # → {"released":true}
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}
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}
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)
curl -s -X POST localhost:27183 -H 'Content-Type: applicatio
Solo se muestra el principio; lee el resto en el repo