mcp
MCP server for Open and Async: AI tools to draft decision docs, run async standups, and triage sync vs. async work
Install / Use
claude mcp add open-and-async -- npx -y github:open-and-async/mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of mcp
mcp scores 78/100 on our quality scale, 3125th of 4,529 Development & Engineering skills we index.
Its MCP Server is 5.7 KB long, well organised into 10 sections with 2 code examples: a solid amount of guidance for an agent.
It has 49 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated yesterday, so mcp is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 85/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
mcp compared with similar skills
All 4 of these similar skills score higher than mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp (this skill)by open-and-async | 78 | 49 | 1d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 87.5k | 16d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.2k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.7k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install mcp?
- Run
claude mcp add open-and-async -- npx -y github:open-and-async/mcp. The install tabs above show the steps for each supported agent. - Which AI agents does mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp safe to use?
- It declares no license and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mcp still maintained?
- The repository was last updated yesterday, so mcp is actively maintained.
Skill content
View source on GitHubOpen and Async — MCP Server

Bring async-first working practices into your editor and AI assistant. This Model Context Protocol server gives your AI the tools to draft a decision doc, turn a meeting into an async artifact, pressure-test a status update, or settle a sync-vs-async debate — without leaving the tools you already work in.
It's the method from Open and Async — the collaborative software-development playbook for remote and distributed teams — as working tools, not reading.
What you can do with it
- Stop writing decision docs from a blank page. Hand your AI the decision and the options; get back a structured ADR scaffold — context, tradeoffs, the call, and how reversible it is.
- Turn "let's hop on a call" into an artifact. Give it a meeting's purpose and agenda; get the async equivalent with an owner and a deadline.
- Ship status updates that don't blindside anyone. Score a draft against the "work loudly / no surprises" rubric and get concrete fixes before you post it.
- Settle sync vs. async in seconds. Describe the task; get a recommendation and the rule behind it.
- Run a standup without a meeting. Drop in a structured async-standup template your team can adopt today.
- Win the "async is too slow" argument. Map common objections to a ready reframe, pull role-aware guidance, or search the book's principles — each answer cited and linked.
- Get coached end to end. Run the
coachprompt with a situation and it triages sync vs. async, generates the right artifact, adds role guidance, and caps with a shareable line — one composed answer, or a nudge to just have the conversation when that's the better call.
Install
Claude Code:
claude mcp add open-async -- npx -y @open-and-async/mcp
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"open-async": {
"command": "npx",
"args": ["-y", "@open-and-async/mcp"]
}
}
}
Any MCP client that speaks stdio works the same way: run npx @open-and-async/mcp.
The toolbox
Method tools — pure utility, use them on any project
| Tool | What it does |
| --- | --- |
| draft_decision_doc | Decision + options → a structured ADR/decision-doc scaffold (context, options, tradeoffs, decision, reversibility). |
| convert_meeting_to_async | Meeting purpose/agenda → the async equivalent (artifact, owner, deadline). |
| score_status_update | Scores a draft update against the "work loudly / no surprises" rubric and suggests fixes. |
| run_async_standup | A structured async-standup template a team can adopt. |
| triage_sync_vs_async | Recommends sync vs async for a task, with the decision rule. |
Reference tools — the book's thinking, on demand
| Tool | What it does |
| --- | --- |
| book_outline | Sections + chapters + one-line TL;DRs. The map. |
| get_chapter_summary | A chapter's TL;DR + taglines + read-the-chapter link. |
| search_principles | Keyword search over the summary corpus; short cited snippets. |
| handle_objection | Maps skepticism ("async is slow") to the book's reframe. |
| get_guidance | Role-aware (manager/ic) guidance for a topic. |
| get_taglines | Taglines + their /q/<slug> quote-card URLs. |
Resources
book://outline— sections, chapters, TL;DRs (JSON)book://taglines— taglines + quote-card URLs (JSON)book://about— what this server is, what it does and doesn't contain, and where to get the book
Prompts
Invoke these directly from your client (e.g. as slash commands):
coach— the full method on one situation. Triages sync vs. async, generates the right artifact, enriches with role guidance, and caps with a shareable tagline — one composed deliverable. Stops and recommends a real-time conversation when the situation genuinely needs one.async-standup,write-adr,meeting-to-issue,weekly-update— parameterized templates for a single task.
Good to know
It's a real tool, not a paywall. The method tools work on their own — no book
required. The reference tools answer from the book's already-public summaries and a
paraphrased framework layer, always capped and always cited so you can trace any
snippet to its chapter. The "get the book" link surfaces about once per session, not
on every line — it's a tool, not an ad. No verbatim book prose is bundled (the only
data file is data/book.json.br), so what you install is genuinely useful, not a
teaser.
Staying current. data/book.json.br ships with a version that tracks the book's
edition, so the server can tell you which edition it's based on and re-sync when a new
one lands.
Generated output is a template, not the author speaking. The method tools format your input into decision docs, standups, and triage calls. That output is generated guidance to adapt — it is not a personal statement, quote, or endorsement by Ben Balter or Open & Async LLC, and shouldn't be presented as one. Reference-tool snippets are summaries the tool cites back to the book, not verbatim prose.
Licensing
This package is split-licensed — see LICENSE for the overview:
- Code (everything under
src/) — MIT. - Data (
data/book.json.br) — proprietary; © Open & Async LLC. You may use it only as part of running this software. No redistribution as a standalone dataset, no derivative datasets, no model training. See DATA-LICENSE.md.
The full work — the stories, the voice, the complete argument — lives in the book: open-and-async.com.
Related Skills
Agent-Reach
87.5kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
74.2kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.7k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
CowAgent
47.2kOpen-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
