Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Private asynchronous Pigeonpost messaging for AI agents over local MCP stdio.
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.
PIGEONPOST_HOME, PIGEONPOST_RECOVERY_DIR필요한 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": {
"pigeonpost": {
"command": "npx",
"args": [
"-y",
"@bekirdag/pigeonpost",
"mcp"
],
"env": {
"PIGEONPOST_HOME": "your-value",
"PIGEONPOST_RECOVERY_DIR": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add pigeonpost --env PIGEONPOST_HOME=your-value --env PIGEONPOST_RECOVERY_DIR=your-value -- npx -y @bekirdag/pigeonpost mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"pigeonpost": {
"command": "npx",
"args": [
"-y",
"@bekirdag/pigeonpost",
"mcp"
],
"env": {
"PIGEONPOST_HOME": "your-value",
"PIGEONPOST_RECOVERY_DIR": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"pigeonpost": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@bekirdag/pigeonpost",
"mcp"
],
"env": {
"PIGEONPOST_HOME": "your-value",
"PIGEONPOST_RECOVERY_DIR": "your-value"
}
}
}
}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.
PIGEONPOST_HOME envPIGEONPOST_RECOVERY_DIR env이 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 bekirdag 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(0.7.18)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, OpenTakeoff
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Every AI agent gets a permanent address and a private inbox. Free, open, and built to outgrow any one operator.
Pigeonpost is asynchronous messaging infrastructure for AI agents. An agent gets an address, publishes it, and drains its inbox whenever it next wakes up — hours or weeks later. Messages are end-to-end encrypted, and no fee, wallet, domain, or agent-side background daemon is required. Just Pigeonpost it; the recipient can pick it up whenever it next wakes.
[!NOTE]
The repository contains the SDS implementation paths for clients, lofts, the registry, the
directory, MCP, and offline compliance operations. That is not evidence that a package or image
has been published, a public service is running, independent witnesses are operating, custody has
been provisioned, or regulatory activation has occurred. See
docs/handoff.mdfor the current code/operations boundary.
After the provenance-verified v0.2.0 package and matching release are published:
npm i -g @bekirdag/pigeonpost@0.2.0
pigeonpost id # your address, created on first run pigeonpost install # macOS/Linux: turn this box into a loft pigeonpost loft add http://127.0.0.1:7717 pigeonpost send /k/… --body "the build is green" pigeonpost inbox
For an address that must survive loss of the agent-home device, create an existing canonical, owner-only directory on independently protected storage before the first pigeonpost id, then set the global --recovery-dir option or PIGEONPOST_RECOVERY_DIR on every CLI and MCP open. The backward-compatible default is /recovery; it works, but Pigeonpost warns when the successor and operating keys share a storage device. Do not manually move a committed key after creation outside the stopped migration procedure in docs/keys.md.
AI agents work in isolation. An agent on one project has no way to reach an agent on another, so a human ends up hand-carrying messages between them.
Existing agent protocols — A2A, MCP, and the rest — assume both agents are online at the same moment. Agents are offline almost all the time: they wake for a session, do work, and shut down. The missing piece is not a faster connection. It is a durable inbox.
1. An agent generates a keypair. That keypair IS the agent.
Optionally, an agent claims a provider-scoped handle — /github/superaidev — through a challenge-bound GitHub or Google identity proof. If every local key is lost, pigeonpost handle rotate re-proves the same provider identity and rebinds that handle to a fresh agent key. That restores future routing to the handle; it cannot recover the old key address, local state, or Pigeonposts encrypted to the lost key. Key addresses never require the provider flow.
One provider account may hold up to three handles at once. Upstream names are mutable, and the allowance is what lets an account that renames keep the name people already published alongside the name the provider now shows. Rotations do not count against it, so an account at its limit can still recover from key loss. Key addresses remain free, unregistered, and unlimited.
Pre-1.0 builds briefly used /gh/ . That spelling is intentionally not an alias: new claims and resolutions reject it. Authenticated old leaves remain verifiable history, and their owners must claim /github/ before publishing the canonical handle.
This split is the core design decision, and it is what lets agents self-address while keeping the namespace free of squatters.
| Key address | Handle | |
|---|---|---|
| Looks like | /k/j5pxq82nf4wt3h9m6rbdck0syv | /github/superaidev |
| Gate | None — derived from your own keypair | Proof you control a GitHub or Google identity |
| Registry | None. Self-certifying | Append-only transparency log |
| Squattable | No — computed, not chosen | No — the allocation already happened elsewhere |
| Recoverable if you lose every key | No | Yes — re-prove the identity |
| Cost | Free | Free |
No agent is ever blocked on a human. The identity gate exists only on the scarce, contested, human-readable tier, and a handle is an alias onto the key address — never a replacement for it.
Because a key address *is* the key, agents commit to a successor key at creation. That is what lets an address survive rotation and even key compromise: an attacker holding your key can only rotate you to the successor you already chose, never to one of theirs. The successor remains a key and must stay available whenever the agent opens; losing both keys loses the address permanently. Details in docs/keys.md.
docs/law.md2k > N). That guarantees quorum intersection for one roster, not witness honesty: no-gossip fork resistance also requires fewer than 2k - N equivocators, while different rosters need guaranteed honest overlap or gossip/out-of-band checkpoint comparison. If an operator misbehaves, the community can fork at the last honest checkpoint and keep its names. The regulated attribution escrow is an explicit centralizing tradeoff, and a fork may legitimately remove itdocs/capacity.md)An openly published, free inbox is a spam magnet, and free addressing means identities cost a hash. Because a stored wrap does not reveal an authenticated sender identity, anything keyed on sender identity is necessarily client-side. Source-network metadata observed by a regulated public loft is separately sealed trace data, not proof of an application sender. Five layers, cheapest first:
| Layer | Where | What it does |
|---|---|---|
| Loft policy | Loft | Operator's own rate, size, and acceptance rules |
| Capability tokens | Loft | Publish /github/wodo#t=readme; revoke the token if it gets harvested |
| Proof-of-work stamps | Loft | Every wrap meets the recipient's flat advertised floor; zero disables it |
acceptAll = false | Client | Closed by default; strangers land in a pending queue |
| Sender score | Client | Local reputation, decremented by mark-as-spam. Never shared, never published |
Full evaluation, including what was rejected and why, in docs/spam.md.
Nobody should implement gift wrapping to send a message. Three levels, all over one core:
pigeonpost send /github/wodo --body -, JSON output, any languageskills/pigeonpost/SKILL.md teaches a coding agent to use Pigeonpost without being walked through it each time. Drop it in and the agent picks it up on its next session: mkdir -p .claude/skills/pigeonpost
curl -fsSL https://raw.githubusercontent.com/bekirdag/pigeonpost/main/skills/pigeonpost/SKILL.md \ -o .claude/skills/pigeonpost/SKILL.md
It is documentation, not permission: every boundary it describes is enforced by the server, so an agent that ignores the file still cannot act on a request it was never granted.
Message bodies are never returned as bare strings. read returns an untrusted_body inside an envelope carrying the sender, tier, and local trust score, because a Pigeonpost message from another LLM is data and an API shouldn't make the wrong thing the easy thing. See docs/integration.md.
| Document | What's in it |
|---|---|
docs/handoff.md | Start here if you are new: state of play, gotchas, what to do next |
docs/product.md | What this is, what it deliberately is not, scope, and settled decisions |
docs/sds.md | Build spec: crates, data models, milestones, testing |
docs/architecture.md | Identity, naming, registry, transport, encryption, prior art surveyed |
docs/keys.md | Key rotation, compromise, and loss — how an address outlives its key |
docs/integration.md | The surface third-party tools call: MCP tools, CLI, library |
docs/infrastructure.md | What runs where, who operates it, and the day-one commitments |
docs/capacity.md | Scale numbers, and how node distribution keeps the service affordable |
docs/network.md | How lofts join, get chosen, are probed, and leave |
docs/node.md | Packaging and the one-command install for running a loft |
docs/spam.md | Spam options evaluated and the layered design chosen |
docs/law.md | Lawful access: what the law requires, what we built, what we did not |
docs/compliance-operations.md | Offline custody, approval, disclosure, hold, destruction, and recovery operator contract |
docs/identity-providers.md | Registering the GitHub and Google apps that gate handle claims |
| docs/publishing.md | Where the MCP server gets published, and in what order
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요