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Quorum

제작자: Godzilla-lab버전 0.1.0i★ –i클라우드에서 실행
레지스트리 이름io.github.Godzilla-lab/quorum

설치

개요

제작자가 쓴 설명(영어 원문)

Market evidence with receipts: every claim resolves to a real stored record you can fetch back.

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: 클라우드에서 실행
  • 전송 방식: Streamable HTTP
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 제작자의 서버에서 실행돼요. 내가 요청한 내용은 제작자의 서버를 거쳐요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://quorum-api-j15n.onrender.com/mcp

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http quorum https://quorum-api-j15n.onrender.com/mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "quorum": {
      "url": "https://quorum-api-j15n.onrender.com/mcp"
    }
  }
}

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": {
    "quorum": {
      "type": "http",
      "url": "https://quorum-api-j15n.onrender.com/mcp"
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://quorum-api-j15n.onrender.com/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

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

할 수 있는 일

아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 Godzilla-lab 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

  • … 아직 점검 안 함

    엔드포인트 응답

    아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요

  • … 아직 점검 안 함

    OAuth로 로그인

    아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32433개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32433개 중 30%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32433개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

Quorum, 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?

제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 2개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

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★ 211어제 업데이트
설치

Symantec Cloud DLP AIops

제작자: AIops-tools

Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.

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.

Quorum

Market evidence with receipts.

Give it a subject, get back what a market actually says. Every claim carries receipt ids, and every receipt id resolves to a real stored record you can fetch back. Fabricated citations are structurally impossible, and a test proves it rather than a README asserting it.

[!TIP]

The interesting part is not that it finds evidence. It is that you can check

it. Every id in every answer resolves through GET /v1/evidence/{id}, and

POST /v1/verify will re-resolve a set of claims against the corpus, ours or

anybody else's. An id that does not resolve is a claim that was never real.

{

"finding": "Sizing runs small, and buyers only discover it after delivery", "corroboration": { "records": 31, "channels": 5 }, "receipts": ["rc_8f2a1", "rc_44b0e", "rc_91c37"], "confidence": "finding" }

GET /v1/evidence/rc_8f2a1 returns the actual comment, its score, where it was posted, when, and its permalink. A customer of your customer can click a claim and read the human who said it.

The hosted API lives at https://quorum-api-j15n.onrender.com, on a free tier instance that sleeps when idle, so the first request after a quiet spell waits a few seconds for it to wake.

The hosted instance is keyed while the API is early. The API root says how to request a key, and always says which mode the instance you are talking to is in. The health endpoint needs no key, so you can check it is alive right now:

curl https://quorum-api-j15n.onrender.com/v1/healthz

Self hosting supports open mode or per key auth, quotas, tenancy and webhook secrets, all self served from GET /v1/usage.

[!NOTE]

On Windows, the curl bundled with Git Bash uses the Schannel TLS stack,

which refuses any HTTPS connection when it cannot reach the certificate

revocation servers (CRYPT_E_REVOCATION_OFFLINE, common behind corporate

proxies and VPNs). That is the network, not this API. Add

--ssl-revoke-best-effort to the curl command, or call from WSL or

PowerShell instead.

Contents

  • What it does
  • Use cases
  • Status
  • Requirements
  • Quick start
  • Usage
  • CLI
  • HTTP API
  • JavaScript SDK
  • Python SDK
  • MCP server
  • Webhooks
  • Running the API yourself
  • Postgres
  • What the API does
  • Why this is different
  • Documentation
  • Contributing
  • License
  • Acknowledgements

What it does

Voice of customer from public archives, competitor ads ranked by how long they have actually been running, and a video versus static verdict computed as arithmetic rather than opinion. It keeps everything it reads, so the second question about a market is nearly free and the archive can be asked about the past.

Key capabilities

  • Receipts, not links. A stable id into a retained corpus, which resolves identically forever, including after the source deletes the original.
  • Corroboration as arithmetic. A claim needs at least three independent records before it prints as a finding, and the count travels with it.
  • Ten sources behind one interface, from a volunteer Reddit archive and GitHub issue search to four government safety regulators, each degrading rather than failing when unconfigured.
  • A corpus that compounds. Cold retrieval measured 596 seconds and about 500 throttled requests. The same category answers in half a second once warm.
  • Offline mode that touches no network and costs nothing.
  • Fifteen HTTP operations, a typed SDK, an MCP server and a CLI, all the same pipeline.
What it looks like

Real output, excerpted from a cold npx quorum "espresso machine" run on 2026-08-24: 401 records in 227 seconds for $0.00.

EVIDENCE  a claim needs 3 independent receipts to be stated as a finding

the percentage is share of all 401 records held for this category

quality 88 receipts / 64 channels 21.9% A0 B3 C85 D0 [finding] "I often hear the priority list being 1. Quality of beans 2. Quality of the grinder 3. Quality of the espresso machine..." hackernews Why a spritz of water before grinding coffee yields better results rc_4d6d444821b0044f

ATTESTED 7 records from 6 named parties [finding] A named party stated this to a regulator, on the record, with consequences for lying. Two of these are a finding on their own.

"CPSC And Krups Announce Action On Espresso Makers..." cpsc Krups rc_a4883bfb1b04d1c1

RECEIPTS 195 cited, 195 resolved back to real records

COST $0.0000 in 227.3s

Every id in that output is fetchable from the corpus that run wrote. If an id does not resolve, the run exits non zero and says which one.

Use cases

  • Product and brand research. What buyers actually complain about, with the comment behind every claim, rather than a summary you have to trust.
  • Competitive teardown. One full retrieval per rival, so shares are compared instead of counts, and co-occurrence is never mistaken for a signal.
  • Ad creative decisions. Video versus static judged by how long real campaigns ran, from dated observations rather than from a platform's own label.
  • Agent tooling that can be audited. An MCP server whose every claim the calling model can independently resolve, which is the one thing a research tool cannot fake.
  • Diligence and monitoring. Attested records a named party filed with a regulator, and a diff against the last report for the same subject.

Status

EngineWorking. 1,330 tests, offline and keyless
CLIWorking, every flag
MCP serverWorking, five tools over stdio, four of them also remote at /mcp
JavaScript SDKWorking, 11 methods
Python SDKPublished: pip install quorum-api. 14 methods, standard library only
WebhooksWorking. Signed to Standard Webhooks, durable, retried for about 75 hours
Hosted APIDeployed and live at https://quorum-api-j15n.onrender.com, on PostgreSQL, verified against the running instance
npmPublished: npx quorum-api "running shoes". Five packages, zero external dependencies
CorpusYoung. 22 consumer and developer categories warmed on the hosted instance as of 2026-08-25; everything else is a cold run away

[!NOTE]

Do not depend on the API shape yet. It is stable enough to build against

and not yet frozen.

Named rather than left as a surprise: request quotas are held in memory,

so the per minute lookup counter resets on restart and none of the counters

would hold across two instances. The hourly report counter is the exception:

it is re-seeded from persisted reports at boot, so a restart is not a refill.

And `evals/` holds only its first layer, a labelled relevance set scored

in CI; the paid, scored report evals described in the project docs do not

exist yet.

Requirements

Node 22.18 or newer. The engine has one runtime dependency, pg, and only in the hosted server: no framework, no ORM, no HTTP client, no test runner, and nothing at all in the CLI or the corpus. That is a deliberate constraint rather than a boast, because every dependency in a tool that fetches untrusted text from the public internet is another thing that can reach the network on your behalf. pg earned its place by being a connection pool that survives a database restart, which is not a thing worth hand writing.

No key is required for anything. Reddit through a public archive, Hacker News, the App Store, the CFPB consumer complaint database and four government safety archives are all free and keyless. Keys only ever ADD sources (YouTube comments with a free API key, Amazon reviews and the Meta ad library through Apify), and a missing one degrades a run rather than failing it.

Environment variables , all optional. Put them in a gitignored .env at the repo root.

QUORUM_YOUTUBE_API_KEYA free YouTube Data API v3 key. Comments under review videos join the voice tier; absent, the source reports itself unconfigured and the run proceeds without it. Costs nothing: the free daily quota covers dozens of runs.
QUORUM_CONTACT_EMAILNot a key. The SEC requires a User-Agent naming who is calling and returns 403 without one, so sec-edgar reports itself unconfigured until this is set. A role address outlives whoever set it up.
OPENROUTER_API_KEYSubject expansion, --synthesise and --read-images. All three are off by default, and the counts never come from a model, so the deterministic report is identical without it.
APIFY_TOKENThe two metered legs: the Meta ad library and Amazon reviews, both through the same Apify account. Every call charges the cost meter and lands on the report's bill. Absent, both legs are skipped, exactly as --no-ads does for ads.
QUORUM_CORPUSSQLite corpus path, read by the server and the MCP server. Default ./quorum.db. The CLI does not read it: pass --corpus instead.
QUORUM_PG_URLPostgres, for the hosted corpus. Paste the provider uri whole: it is parsed rather than split, so sslmode is honoured and a password containing @ survives.
QUORUM_PG_CAPath to the provider CA. Worth setting, because sslmode=require means encrypt and not verify.
QUORUM_PG_CA_PEMThe same CA as an inline PEM, for hosts that supply secrets as values rather than files.
QUORUM_API_KEYSComma separated bearer keys for the server. Absent means the instance is open, which the server says out loud on boot.
QUORUM_WEBHOOK_SECRETSigning secret for webhook delivery, 24 characters or more. Absent means webhooks are accepted and never delivered, which the server also says on boot.
QUORUM_CONCURRENCYConcurrent report runs, default 2. Not a throughput dial: every concurrent run is concurrent pressure on the same volunteer archives.
PORTDefault 8787. A host normally sets this.
QUORUM_REPORTS_PER_MINUTEReports one key may start per minute. Default 20.
QUORUM_LOOKUPS_PER_MINUTEEverything else, per key per minute. Default 600, which is 10 a second.
QUORUM_MAX_CAP_USDCeiling on any one report. A caller's own capUsd can only lower it. Default 0.
QUORUM_SPEND_PER_KEY_USDWhat one key may spend on metered sources per day. Default 0.
QUORUM_SPEND_TOTAL_USDWhat every key together may spend per day. Default 0.

Quick start

Requires Node 22.18 or newer, and nothing else.

npx quorum-api "running shoes"

That is the whole install. Five packages come down from npm, about 240 KB with zero external dependencies, and the first report starts.

Working on Quorum itself is the clone pa

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