프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Rigour

제작자: rigour-labs버전 7.0.14i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.rigour-labs/rigour

설치

개요

제작자가 쓴 설명(영어 원문)

Lets coding agents review their change, find an existing helper, and recall the team's lessons.

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.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

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": {
    "rigour": {
      "command": "npx",
      "args": [
        "-y",
        "@rigour-labs/mcp"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add rigour -- npx -y @rigour-labs/mcp

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "rigour": {
      "command": "npx",
      "args": [
        "-y",
        "@rigour-labs/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": {
    "rigour": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@rigour-labs/mcp"
      ]
    }
  }
}

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.

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 rigour-labs 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 32572개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32572개 중 67%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32572개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

Rigour, 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(7.0.14)은 18일 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, AvaHR

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

AvaHR

제작자: avahr.com

Read hiring data and create inactive assessment and questionnaire drafts for human review.

클라우드에서 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.

Rigour

A reviewer that knows how your team works, whichever agent writes the code.

Whichever agent your engineers use, its work arrives already shaped by how your team builds software, and it gets closer to your standards every week.

Teams used to carry their judgment through people: the senior who briefed you before you started, the reviewer who caught what you missed, the engineer who remembered why the last attempt failed. Coding agents write faster than any person can brief, review or remember. The knowledge is still in your team; Rigour is how it reaches every agent, at the speed agents work.

Works with Claude Code, Cursor, Codex, Cline and Windsurf. Free, open source, and runs on your machine.

How it does it

  1. Brief before writing. Before an agent edits a file, it is told what your team asks of that file: the rules your repository wrote for it, the lessons your team learned on it, the points your team settled against. At most three items per file, each cited. Installed by rigour setup (--no-brief to leave it out), or rigour_brief for any agent with MCP. See The briefing.
  2. Verify while writing and before push. Your team's checks and rules gate any agent's work: on every edit, before the agent says "done", and before git push, where your formatter, linter, type check and the tests that touch the change run too. Opt-in, the change is also checked against the goal its pull request declares: files outside its scope, "done when" items it never did. See The goal check.
  3. Review with your team's context, at your team's severity. A reviewer that reads every point from your last human review, checks each rule your repository wrote that the change touches, and takes your reviewer's own "Blocking / Should fix / Nits" over its own reading. What your team blocks and what it lets go is your repository's setting, not one global opinion. See The reviewer.
  4. Learn from outcomes. A review point becomes a lesson only on evidence: a person corrected an agent's work, someone on the team decided, or it recurred across authors. What happened after the merge (a later fix on its lines, a revert) is shown to a person to decide, never a promotion on its own, and a lesson the team keeps merging against cleanly is taken back. What it learns flows into the next briefing and the next review.

One piece of work is one task, whatever agents and people touch it, and rigour thread shows everything that happened to it: what was caught while the code was written and fixed before the push, what blocked, what each review found. See The task thread.

What it is, and what it is not

  • It learns only from evidence: your rules files, review points that were acted on, people's corrections, and what happened after merge. A guess never becomes a rule.
  • It shapes and checks the agent; it never changes the model. No training, no fine-tuning. Any agent, any model.
  • Concrete taste it captures well ("bound the window at both ends", "rerun the code generator after changing the schema"). Design taste stays with your people: anything Rigour cannot show in code is a should-fix at most, never a block.
  • One machine, many companies, nothing crosses. Profiles keep each employer's or client's memory, lessons and team apart, chosen by the repository you're in. See Profiles.
  • It starts from what you have written down. On day one, the briefing and the reviewer carry your repository's own rules (AGENTS.md, CLAUDE.md, Cursor rules, Copilot instructions). Lessons join as your reviews give them evidence, so a team with little review history starts with little to brief, and the briefing is off until you turn it on.

What runs by default, and what it costs

DefaultCost
Checks on every edit, before "done", before pushOn after rigour setupLocal; the after-edit check starts the CLI once per edit
Your team's tools before pushOnYour own formatter, linter, type check and tests
The reviewerOff until enabled in Studio or rigour.ymlYour agent's own model and login, one long read per review; the record of each review shows its cost
A panel of judgesOff; mode: full or panel: onOne judge's cost per judge, plus a short cross-examination of what they disagree on
A judge through any OpenAI-compatible APIOff; reviewers: [api]The provider's price for your key
The briefingOn with rigour setup (--no-brief, brief.enabled: false or RIGOUR_BRIEF=0 turns it off)No model; with the credential scan on, +22 ms per edit and +121 ms on a file's first edit (measured on Rigour's own repository)
The task threadOn wherever the hooks runA line per event in your git folder

How it works

WhenWhat Rigour doesIf something's wrong
Every editFast checks on the file: secrets, imports that don't exist, proven bugsThe agent sees it at once
Before "done"The whole branch against main: findings to fix, code nothing uses, risky patterns, a merge conflictThe agent keeps working (at most three times)
Before git pushThe same, plus your formatter, linter, type check and related tests, and the reviewer that remembersThe push is blocked, one line per problem
On the pull requestA quiet safety net: at most two comments, only on what wasn't already checked—

With the briefing on, a line comes before all of these: before each file's first edit, what your team asks of that file.

Get started

See what it finds first, changing nothing (on a branch with work on it):

npx @rigour-labs/cli review --base origin/main

Worth it? Set it up:

brew install rigour-labs/tap/rigour    # or: npm install -g @rigour-labs/cli

rigour setup # in your repository

rigour setup connects Rigour to your agents, installs the three moments, and checks that everything works. By default it is personal: nothing in your working tree. The agent hooks are installed once per machine and stay silent in any repository you have not switched on, and switching this one on writes only inside .git/. When your team wants it for everyone who clones, rigour setup --team commits it to the repository instead. Either way it merges into the agent configs you already have rather than replacing them. Changed your mind? rigour uninstall takes out exactly what it put in. Get started walks through it.

Rigour is about 70 MB per version. Semantic search (about 250 MB on Linux, 280 MB on macOS) is installed once per machine by rigour setup and shared by every version; skip it with --no-semantic.

Using Claude Code? The plugin does all of it:

/plugin marketplace add rigour-labs/rigour-plugin

/plugin install rigour@rigour-labs

Want the reviewer too? It is off until someone turns it on, and you choose how far to take it: for yourself in Studio's Setup page, or for the whole team in rigour.yml:

review:

reviewer: enabled: true mode: full # one judge per vendor, up to judges; single (the default) is one judge panel: on # only what most judges confirm blocks; required: no one may turn it off judges: 3 # 2 or 3, one per vendor installed escalate: risk # add judges only for risky changes; measure it with rigour backtest first

The push goes through as soon as the checks pass; the reviewer then reads the pushed commit in the background (only when it has an open, non-draft pull request, so you pay for a model only when someone will read the push). rigour review --status shows its verdict and what ran; rigour review --reviewer --full is the hard stop before you ask a person to review. Your own choice wins for your runs, except where the team set a floor, and Rigour always says which judges actually ran and why.

Then open Studio to watch it work:

rigour studio

The commands you will use

CommandWhat it does
rigour setupGets your repository ready and checks it works
rigour briefWhat your team would tell an agent before this task: rules, lessons and settled points, each cited
rigour threadWhat happened to a task, across agents, checks, pushes and reviews
rigour reviewReviews your current change, or a branch before you open a PR (--reviewer adds the reviewer that remembers; --scope lists what a fix round changed that the review never asked for)
rigour studioShows what Rigour stopped, learned and gave your agents
rigour doctorTells you what's working, what isn't, and how to fix it
rigour uninstallTakes out exactly what Rigour put in; your own settings and edited files stay

Everything else is in rigour help --all.

Built to be trusted

  • It blocks only on what it can show. A deterministic check blocks only after it has been run over real merged pull requests. The model reviewer's findings block only when they name a wrong outcome or a cost, and with a panel, only when most judges agree. Guesses about style or size never block you and never show up on a PR.
  • Say "not a bug" once. That finding never comes back, and checks your team keeps overruling go quiet on their own.
  • When it can't check, it says so. No reviewer answer, nothing to review, a tool that isn't installed: each is reported plainly, never as a clean pass.
  • Your code stays on your machine. The checks run locally. Code leaves only for a model you choose: your agents' own CLIs for the reviewer, or a provider when you run a model review with your key. Team sync sends only lessons from your team's own repositories. Every network call Rigour can make, and how to turn each off, is in Security.
  • You see what it costs. When a model is used, Rigour records the real cost of each run.
  • You see what each judge knew. A judge reads your repository and what Rigour gives it. The Claude judge loads no one's personal instructions; where a judge cannot be kept from a person's own config (Codex, Cursor), the record of the review says what else it read.
  • Measured in the open. Claims about what Rigour catches are tested on real pull requests in the public driftbench arena.
  • Measured against your own reviewers. rigour backtest replays the review on commits your team reviewed, with the review hidden, and scores it: which of the reviewer's points it would have caught first, and whether it would have blocked anything they called good. See Backtest.
  • One rule for what blocks. The review, the stop hook and the push gate decide from the same rule, so they never disagree about a finding.

What it costs

Rigour is free. With an agent you need nothing else: the checks run locally, and the reviewer and the review of risky changes use your agent's own model and login. A model key is only for reviewing code written without an agent, and for the pull request bot.

For teams

Pull requests. Add one workflow file and Rigour reviews every PR, quietly. Make it a required check, and a PR can't dismiss its own findings or loosen its own settings. See Pull requests and CI.

One setup for everyone. rigour setup --team commits the configuration, and each teammate runs `ri

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