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Rigour

von rigour-labsVersion 7.0.14i★ –iLäuft auf deinem Computer
Name in der Registryio.github.rigour-labs/rigour

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

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

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: Läuft auf deinem Computer
  • Transport: stdio
  • Kategorie: Sonstiges

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 1 von 1 bestanden
  • Läuft auf deinem Computer mit den Rechten deines Benutzerkontos (Dateien, Netzwerk, Apps).
  • Die Registry nennt keinen Schlüssel zum Eintragen.

Du brauchst

  • npmNode.js installiert (für den Befehl npx)

Welche App nutzt du?

Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.

Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein

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

Führe das in deinem Terminal aus

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

In Cursor öffnen

Oder kopier die Einstellungen selbst

In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen

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

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

In VS Code öffnen

Oder kopier die Einstellungen selbst

In .vscode/mcp.json in deinem Projekt einfügen

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

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Was er kann

Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto rigour-labs bestätigt, dem das Repo gehört

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • – Nicht zutreffend

    Endpunkt antwortet

    Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen

  • … Noch nicht geprüft

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen

Im Vergleich mit anderen in Sonstigesi

  • Mehr Sterne als 0 % der anderen 32568 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 67 % der anderen 32568 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 32568 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist Rigour sicher?

Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (7.0.14) kam vor 18 Tagen in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.

Was kann ich stattdessen nutzen?

In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, FlyDocs

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

Spec Driven Development

von formulahendry

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

Läuft auf deinem Computer★ 440MITAktualisiert vor 14 Monaten
Installieren

Remote Desktop Commander

von desktop-commander

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

Läuft in der Cloud★ 211Aktualisiert gestern
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FlyDocs

von flydocs.ai

Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.

Läuft auf deinem ComputerAktualisiert heute
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README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

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

Nur der Anfang wird gezeigt; den Rest findest du im Repo

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