Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
제작자가 쓴 설명(영어 원문)
Local daemon giving AI agents named locks, shared state, events, and a task queue over MCP.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"airlock": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add airlock -- docker run -i --rm ghcr.io/adamorad/airlock:2.0.0프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"airlock": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"airlock": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 adamorad 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.0.0)은 5개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 있어야 해요.
같은 카테고리에는: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요