Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者提供的说明(英文原文)
Local daemon giving AI agents named locks, shared state, events, and a task queue over MCP.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"airlock": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}在终端中运行这条命令
claude mcp add airlock -- docker run -i --rm ghcr.io/adamorad/airlock:2.0.0粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"airlock": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"airlock": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/adamorad/airlock:2.0.0"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 adamorad 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2.0.0)于5个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读