原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Rigour

作者:rigour-labs版本 7.0.14i★ –i在你的电脑上运行
注册名称io.github.rigour-labs/rigour

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 rigour-labs 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32691 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32691 个服务器的 67% 更新
  • 基础检查结果等于或优于此分类中其他 32691 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Rigour 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(7.0.14)于19天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Dialyne

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

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

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211前天更新
安装

Dialyne

作者:dialyne

Real phone calls in France for AI agents: dial +33 numbers, menus, hold, AI disclosure.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx