Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Multi-party decisions for agents: red lines rejected in code, max-min pick, SHA-256 receipt. Stdlib.
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.
필요한 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": {
"parley": {
"command": "uvx",
"args": [
"parley-consensus"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add parley -- uvx parley-consensus프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"parley": {
"command": "uvx",
"args": [
"parley-consensus"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"parley": {
"type": "stdio",
"command": "uvx",
"args": [
"parley-consensus"
]
}
}
}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.
이 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 5uper0 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(0.2.0)은 34일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, sync. labs
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.
Lipsync videos, dub them into other languages, make talking videos and open sync. Studio.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Give each party's agent a private red line. Parley picks the option that crosses nobody's line and lifts the least-happy party, and every owner can check on their own machine that their limit held. Nobody shows their sheet, not even to the coordinator.
Red lines are code, not prompts · multilateral (N>2) · non-crypto · self-hosted · zero-dependency Python · Apache-2.0.
[Try it live](https://parleyprotocol.com/demo/) · [See it in 30 seconds](#see-it-in-30-seconds) · Roadmap · Changelog · Security · Contributing · Español: herencia entre hermanos · Español: ¿unanimidad para vender? · English: do all heirs have to agree to sell a flat in Spain? · Ukrainian
Rival parties reach a max-min decision · a shortcut that would cheat someone is BLOCKED by a red line · every party verifies the tamper-evident receipt.
Works from an MCP host (Claude, Cursor) and from OpenAI Agents SDK, smolagents and LangGraph: the three recipes return the same receipt hash for the same decision.
pip install parley-consensus # zero-dependency core
pip install "parley-consensus[crypto]" # + Ed25519-signed verdicts
The distribution is parley-consensus (PyPI's parley is an unrelated project); the import name is parley.
/plugin marketplace add 5uper0/parley
/plugin install parley@parley
This registers the parley-mcp stdio server, launched with uvx --from parley-consensus parley-mcp, so uv must be installed.
from parley.agent import Agent
from parley.consensus import run_consensus from parley.preferences import HardConstraint, PreferenceSheet
options = [ {"venue": "rooftop", "cost": 900}, {"venue": "garden", "cost": 600}, {"venue": "diner", "cost": 300}, ] ana = PreferenceSheet( "Ana", utility=lambda o: 1.0 if o["venue"] == "rooftop" else 0.4)
bob = PreferenceSheet( "Bob", hard=[HardConstraint("budget", lambda o: o["cost"] <= 700)], utility=lambda o: 1 - o["cost"] / 1000) cara = PreferenceSheet( "Cara", utility=lambda o: 0.9 if o["venue"] == "garden" else 0.5)
agents = [Agent(s.owner, s) for s in (ana, bob, cara)] result = run_consensus(agents, options) print(result.status, result.decision) print("receipt sha256:", result.transcript.hash())
for sheet in (ana, bob, cara): ok = result.transcript.verify_non_betrayal(sheet, result.decision) print(sheet.owner, "not betrayed:", ok)
agreed {'venue': 'garden', 'cost': 600} receipt sha256: 30483303e4d94e22833161d9bb8c292c0effff88c3303d7e195e57d49c88f516 Ana not betrayed: True Bob not betrayed: True Cara not betrayed: True
The hash above is what version 0.2.1 and later print: a rejected option's score is reported as 0. Version 0.2.0 prints a9cb75c0... for the same snippet; the decision and the verdicts are identical.
The rooftop is Ana's favourite and loses anyway: it crosses Bob's budget red line, so it is rejected before any score is weighed. The coordinator only ever saw red-line, never the budget or the sheet.
Contributors install from a clone instead: pip install -e ".[dev]" (see Status).
The base install ships a stdlib-only MCP server over stdio. Point your host at it:
{"mcpServers": {"parley": {"command": "parley-mcp"}}}
If the console script is not on the host's PATH, launch it through the interpreter that has the package: {"command": "python", "args": ["-m", "parley.mcp"]}.
The server speaks both MCP eras: hosts on the 2026-07-28 revision (no initialize, version and capabilities in each request's _meta, server/discover for discovery) are served statelessly, and hosts on 2025-11-25 or earlier get the usual initialize handshake. Same tools, same receipt hash on both.
Three tools appear: parley_decide (options + each party's red lines and preferences in, status, decision, transcript and transcript_sha256 out), parley_verify_receipt (recompute the hash over a transcript, and recompute the max-min decision from its recorded verdicts) and parley_check_party (replay one party's red lines against a decision). To check what parley_decide returned, pass its transcript and transcript_sha256 to parley_verify_receipt: scripts/verify-receipt.py reads the receipt file examples/real_decision.py writes, not the parley_decide result, and rejects it. The input is the same JSON as the recipes in examples/demo/, passed under one spec key. If you call the tools yourself instead of through a host, the three calls look like this (arguments of tools/call):
{"name": "parley_decide",
"arguments": {"spec": {"title": "...", "options": [...], "parties": [...]}}} {"name": "parley_verify_receipt", "arguments": {"transcript": {...}, "sha256": " "}} {"name": "parley_check_party", "arguments": {"party": {"owner": "Bob", "hard": [...], "utility": [...]}, "decision": {...}}}
The result of parley_decide is not a receipt file for scripts/verify-receipt.py; check it with parley_verify_receipt. Example prompt:
Three of us are picking a venue: rooftop (900), garden (600), diner (300). Bob will not go over
700; Ana prefers the rooftop, Cara the garden, Bob the cheapest. Use parley_decide, then verify
the receipt hash and check that Bob's red line held.
What this mode does and does not give you. The host holds every party's spec and passes them all in one call, so there is no privacy between parties or from the host. What still holds is what the engine enforces in code: a red line rejects an option deterministically, the max-min rule picks among options feasible for everyone, and the receipt hash makes any later edit to the transcript visible, provided the hash is kept by someone other than whoever might edit the transcript: it is unsigned and the server does not store it, so a hash and a transcript from the same hand prove nothing about each other. max_min_verified does not depend on the hash: it recomputes the winner from the recorded verdicts. For private sheets, run one process per owner over HTTP (examples/run_env.py); the coordinator then sees only masked verdicts.
Most agent tooling in 2026 solves either transport/identity (A2A, MCP) or 1:1 agentic commerce (an agent buys/books for you), or *cooperative* debate between agents of the same owner. Parley targets the gap nobody productised: a group of delegates, each representing a different principal with conflicting and private interests, reaching a decision everyone can trust, and *prove* their agent didn't betray them.
Who it's for. Teams and platforms where several parties must reach a decision that crosses none of their red lines, and each can prove that afterward. Built first for regulated, multi-party workflows: compliance & onboarding decisions (KYC/AML, sanctions red lines), marketplace & P2P disputes, and delegated governance (committees, panels).
The wedge is three properties, enforced in code rather than left to an LLM's discretion:
ok/red-line), never the private sheets or which constraint was at stake. A decision must be feasible for *every* agent; among those it picks by an egalitarian max-min rule (lift the least-happy participant), tie-broken by total welfare, social choice, not majority vote. No feasible option ⇒ honest deadlock.Agents are starting to act on our behalf: booking, negotiating, onboarding, allocating. The moment two agents serve different owners, "did my agent sell me out?" stops being paranoia and becomes a real question. The crypto answer to agent-trust (put it on a chain, add a token) collapsed 89–99.7%; the durable need is the trust primitive itself, decoupled from tokens.
AI that can't lie, and you can check. The 2026 agent-hype cycle proved virality can be
fully decoupled from truth. Parley is the provable version: every verdict in a parley is a
re-hashable receipt, and each owner replays their own private sheet to prove no red line was
crossed, no trust required, just the check.
Building the v0 taught us the wedge is narrower and sharper than "multi-agent consensus": the value isn't the vote, voting is free (Snapshot, polls). The value is provable non-betrayal under conflicting private interests, that no party had to reveal their private sheet or which red line was at stake, no red line could be traded away, and everyone can check the receipt themselves. That's what doesn't compose from off-the-shelf parts, and it's the one thing we made enforceable in code rather than left to an LLM's goodwill. The worked proof: docs/dogfood-01-p2p-escrow.md.
Read from each project's own public description on 2026-10-25; they are different tools for different jobs, and some are complements.
| Neighbour | What it does | What Parley adds |
|---|---|---|
| MPAC (arXiv, April 2026) | Lets agents of independent principals coordinate over shared state: declared intents, structured conflicts, human arbitration | A decision rule over private limits: red lines as code, max-min over masked verdicts, local replay. The MPAC abstract does not describe private preferences, masking or verifiable transcripts |
| Legal Context Protocol (American Arbitration Association and partners, launched 2026-06-24) | Makes legal terms, consent and dispute resolution discoverable and verifiable when agents transact | The decision before any dispute: LCP covers terms and recourse, Parley reaches the choice among options. A complement |
| Acuerdio (Spa
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