huddle-mcp
A broker that queues agent requests (plans, questions, FYIs) and batches them by urgency into proposed meetings, leaving actual calendar booking to an attached calendar MCP.
README
huddle-mcp
An MCP server that lets your parallel coding agents schedule briefings on your real calendar instead of interrupting you. They queue their plans and questions; the queue batches them by urgency into time-blocks booked when you're free.
When you run a fleet of agents, the bottleneck is you. Three plans and two questions land at once, on their schedule, and the context-switching wrecks your decisions. huddle-mcp is the fix real employees already use: don't barge in — book a meeting.
auth-agent → request_meeting("JWT vs sessions", type=plan, urgency=blocker)
ui-agent → request_meeting("dark-mode default?", type=question)
db-agent → request_meeting("migration applied", type=fyi)
You: "book my agent briefings"
→ 🚨 Blocker · auth-agent: JWT vs sessions 11:05–11:15
→ 📋 Agent briefing · 2 items 14:00–14:20 (the question + the FYI)
You review at the booked time; the agents wait and unblock once you've decided.
The idea: a broker, not another calendar wrapper
Wrapping a calendar is a solved problem (Google ships an official Calendar MCP; there are mature OSS ones). The value here is the coordination layer in front of it:
- a shared queue any agent can drop a request into,
- an urgency-aware batching policy (blockers get booked ASAP; routine items bundle into the next briefing; FYIs ride along and reserve no time),
- a briefing renderer that aggregates everything into one agenda you skim.
So huddle-mcp is auth-free and provider-agnostic — it never touches your calendar. It emits the agenda + a desired time window, and the actual freebusy lookup + event creation is delegated to whatever calendar MCP you already have connected (Google, Outlook, …). Install = one line, zero new credentials.
Tools
| Tool | Who calls it | What it does |
|---|---|---|
request_meeting |
worker agent | Queue a plan/question/decision/fyi. Returns a ticketId. No calendar. |
check_response |
worker agent | Poll a ticketId; returns the user's decision once answered. |
cancel_request |
worker agent | Withdraw a ticket you resolved on your own. |
plan_meetings |
orchestrator | Batch the queue into proposed meetings + rendered briefings. |
confirm_meeting |
orchestrator | Record a booked calendar event; marks its tickets scheduled. |
get_briefing |
orchestrator | The rendered agenda + full tickets for a meeting. |
resolve |
orchestrator | Record the user's decision for one ticket → unblocks the worker. |
ingest_answers |
orchestrator | Parse the user's answers out of the event description and resolve every answered ticket at once. |
reopen |
orchestrator | Undo a decision and re-open the ticket (you changed your mind). |
discard_meeting |
orchestrator | Drop a meeting, re-queue its open tickets (stale proposals auto-expire after 24h). |
list_agenda |
orchestrator | What's queued / scheduled / answered. |
How it fits together
The calendar event is two-way: huddle writes the briefing into it, and the user answers right there.
worker agents ──request_meeting──▶ [ huddle-mcp queue ] (local JSON, file-locked)
(auth, ui, db…) │ batch by urgency + render briefing
▼
plan_meetings → proposed meetings (window + duration + briefing)
│
your orchestrator ──▶ your Calendar MCP: freebusy → create_event(description = briefing + answer block)
│
confirm_meeting(meetingId, eventId, start, end)
▼
┌── you answer in the event: "tkt_3f9a → use server sessions"
│
└─▶ orchestrator reads the event back ──▶ ingest_answers(description)
▲ (or resolve(ticketId, decision) in chat)
worker agents ──check_response(ticketId)─┘ poll, unblock, proceed
The briefing that lands in the event ends with a writable answer block:
— ✍️ Your answers —
Reply after each → then tell your agent "read my huddle answers".
tkt_3f9a2c1d → use server sessions
tkt_8b7e0a44 → ship dark mode as the default
When you say "read my huddle answers", the bundled huddle skill (in skills/huddle/) fetches the event via your calendar MCP, passes its description to ingest_answers, and every answered ticket resolves — the agents unblock. The same skill drives the booking side: "book my agent briefings" runs plan_meetings, finds free slots, and creates the events. huddle itself never touches the calendar — the skill bridges it.
Requirements
- Node.js ≥ 20
- A calendar MCP connected in the same client (e.g. Google Calendar) for the actual booking. huddle-mcp itself needs no account and no auth.
Install — Claude Code
{
"mcpServers": {
"huddle": {
"command": "npx",
"args": ["-y", "huddle-mcp"]
}
}
}
That's it — no env vars. (Prefer the bleeding edge? Use "github:marcoloco23/huddle-mcp" instead of "huddle-mcp".) Connect a Google Calendar MCP alongside it for booking, and (optionally) copy skills/huddle/ into ~/.claude/skills/ so "book my agent briefings" and "read my huddle answers" just work.
From source
git clone https://github.com/marcoloco23/huddle-mcp.git
cd huddle-mcp
pnpm install # builds via the prepare hook
node dist/index.js
For agent authors
Worker agents should queue and wait, never block the user inline:
request_meeting({ agent, title, body, type, urgency?, estimated_minutes? })
→ { ticketId }
# do other work, then:
check_response({ ticket_id }) → { answered, response } # proceed once answered
type:question(needs an answer) ·plan(review a plan) ·decision(pick an option) ·fyi(no action).urgency:blocker(book ASAP) ·normal/low(bundle into the next briefing). Defaultnormal.
Storage
The queue is a single JSON file shared by every agent process, at
~/.config/huddle-mcp/queue.json (honors XDG_CONFIG_HOME; override with
HUDDLE_HOME). Concurrent writes from parallel agents are guarded by an atomic
cross-process lock.
Developing & releasing
npm install # builds via the prepare hook
npm test # node:test — pure units + a stdio server integration suite
CI runs the suite on every push/PR. Releases are automated: bump the version in
package.json, then cut a GitHub Release — the publish workflow builds, tests,
and pushes to npm. It needs an npm automation token (which bypasses 2FA) saved
once as the NPM_TOKEN repo secret (Settings → Secrets and variables → Actions).
Roadmap
Where this is headed — autonomy (agents book themselves), closing the last mile (answered → agent actually resumes), notifications, smarter briefings, Outlook, and more — is in ROADMAP.md, ranked by how much it protects your attention.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。