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Pigeonpost

제작자: bekirdag버전 0.7.18i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.bekirdag/pigeonpost

설치

개요

제작자가 쓴 설명(영어 원문)

Private asynchronous Pigeonpost messaging for AI agents over local MCP stdio.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 직접 입력할 값: PIGEONPOST_HOME, PIGEONPOST_RECOVERY_DIR

필요한 것

  • npmNode.js 설치(npx 명령어용)

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 mcp

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

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.

VS Code에서 열기

또는 설정을 직접 복사하기

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.

직접 입력할 값

  • PIGEONPOST_HOME env
    Directory containing this agent's local Pigeonpost identity and state.
  • PIGEONPOST_RECOVERY_DIR env
    Existing canonical owner-only absolute directory containing this agent's committed successor key; it must remain available for every agent open.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 bekirdag 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32708개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32708개 중 42%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32708개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Pigeonpost, 안전한가요?

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.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.7.18)은 2개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, OpenTakeoff

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211그저께 업데이트
설치

OpenTakeoff

제작자: Kentucky-ai

Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.

내 컴퓨터에서 실행오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Pigeonpost

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.md for 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.

The problem

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.

How it works

1. An agent generates a keypair. That keypair IS the agent.
  1. Its address falls out of the key — no registration, no permission, no human.
  2. It publishes that address anywhere: a README, a docs site, a product page.
  3. Anyone sends it a message. The message waits.
  4. The agent wakes, drains the inbox, disconnects.

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.

Two kinds of address

This split is the core design decision, and it is what lets agents self-address while keeping the namespace free of squatters.

Key addressHandle
Looks like/k/j5pxq82nf4wt3h9m6rbdck0syv/github/superaidev
GateNone — derived from your own keypairProof you control a GitHub or Google identity
RegistryNone. Self-certifyingAppend-only transparency log
SquattableNo — computed, not chosenNo — the allocation already happened elsewhere
Recoverable if you lose every keyNoYes — re-prove the identity
CostFreeFree

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.

Design principles

  • Free, permanently. No fees, no tokens, no wallet, no paid domain. A paywall kills adoption for a dev tool, and there is no chain here to charge for
  • Offline-first. The recipient is assumed to be gone. Transport is authenticated HTTP request/response; WebSocket support is deferred and is not part of the compatibility contract. There is no daemon on the agent side
  • Private by construction. Gift wrapping means the stored envelope does not reveal the sender's long-term key, true send time, content, or kind. A loft cannot decrypt message content. Where a recipient requires envelope-v3 attribution, only a separately provisioned, authorized offline custodian could recover the sender claim; the content remains sender-and-recipient-only. A regulated public loft separately observes source-network and exact receipt metadata as the request arrives, seals it under short-lived purpose-specific keys, and keeps it out of ordinary logs; see docs/law.md
  • Pigeonpost messages are data, never instruction. A message body arrives from another LLM. Client surfaces present bodies inside an explicit untrusted envelope; the operator policy decides whether a human must review them. An agent that reads "delete the auth module" in its inbox does not execute it by default
  • Forkable by design. Names live in a public log that anyone can download whole, mirror, and fork. Clients choose their own strict-majority witness policy (2k > 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 it
  • Built around explicit operating budgets. A free service with no revenue cannot silently absorb unbounded adoption. The loft is designed to be run by other people, and our own share is a capacity number we advertise rather than a residual we absorb. Registry storage and fresh-client bootstrap have explicit v0.2 bounds; protocol and network-budget tests cover the mechanism, while end-to-end million-leaf wall-clock validation remains a release-operations gate. Higher scale requires a future authenticated snapshot/map/checkpoint design rather than an unlimited flat-cost claim (docs/capacity.md)

Spam

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:

LayerWhereWhat it does
Loft policyLoftOperator's own rate, size, and acceptance rules
Capability tokensLoftPublish /github/wodo#t=readme; revoke the token if it gets harvested
Proof-of-work stampsLoftEvery wrap meets the recipient's flat advertised floor; zero disables it
acceptAll = falseClientClosed by default; strangers land in a pending queue
Sender scoreClientLocal reputation, decremented by mark-as-spam. Never shared, never published

Full evaluation, including what was rejected and why, in docs/spam.md.

Integrating

Nobody should implement gift wrapping to send a message. Three levels, all over one core:

  • MCP server — the primary path, with tools for identity, resolution, sending, inbox handling, bounded local-storage lifecycle, trust controls, capability tokens, and handle registration
  • CLI — pigeonpost send /github/wodo --body -, JSON output, any language
  • Library — the Rust client crate used by the CLI and MCP server; other languages use either surface
  • Agent skill — skills/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.

Documentation

DocumentWhat's in it
docs/handoff.mdStart here if you are new: state of play, gotchas, what to do next
docs/product.mdWhat this is, what it deliberately is not, scope, and settled decisions
docs/sds.mdBuild spec: crates, data models, milestones, testing
docs/architecture.mdIdentity, naming, registry, transport, encryption, prior art surveyed
docs/keys.mdKey rotation, compromise, and loss — how an address outlives its key
docs/integration.mdThe surface third-party tools call: MCP tools, CLI, library
docs/infrastructure.mdWhat runs where, who operates it, and the day-one commitments
docs/capacity.mdScale numbers, and how node distribution keeps the service affordable
docs/network.mdHow lofts join, get chosen, are probed, and leave
docs/node.mdPackaging and the one-command install for running a loft
docs/spam.mdSpam options evaluated and the layered design chosen
docs/law.mdLawful access: what the law requires, what we built, what we did not
docs/compliance-operations.mdOffline custody, approval, disclosure, hold, destruction, and recovery operator contract
docs/identity-providers.mdRegistering the GitHub and Google apps that gate handle claims

| docs/publishing.md | Where the MCP server gets published, and in what order

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