Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Beschreibung vom Entwickler (englisches Original)
Local daemon giving AI agents named locks, shared state, events, and a task queue over MCP.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"airlock": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add airlock -- docker run -i --rm ghcr.io/adamorad/airlock:2.0.0In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"airlock": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"airlock": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto adamorad bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (2.0.0) kam vor 5 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker auf deinem Computer.
In derselben Kategorie: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
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