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Groundrule

제작자: Metricall-AI-Lab버전 0.23.1i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.Metricall-AI-Lab/groundrule

설치

개요

제작자가 쓴 설명(영어 원문)

Your repository's engineering standards for coding agents: rules per file, CI check, rule proposals.

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: 개발자 도구

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": {
    "groundrule": {
      "command": "npx",
      "args": [
        "-y",
        "@groundrule/cli",
        "mcp"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add groundrule -- npx -y @groundrule/cli mcp

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "groundrule": {
      "command": "npx",
      "args": [
        "-y",
        "@groundrule/cli",
        "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": {
    "groundrule": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@groundrule/cli",
        "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 8일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 Metricall-AI-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

  • – 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

개발자 도구 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 4926개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 4926개 중 79%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 4926개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

Groundrule, 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(0.23.1)은 10일 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: GitHub, Desktop Commander, Cloudflare MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

제작자: github널리 사용됨★ 3.4만5일 전 업데이트

컴퓨터 또는 클라우드

Desktop Commander

MCP server for terminal commands, file operations, and process management

제작자: wonderwhy-er널리 사용됨↓ 71만/주★ 1만17일 전 업데이트

내 컴퓨터에서 실행

Cloudflare MCP

Cloudflare MCP servers

제작자: cloudflare성장 중★ 4.4천14개월 전 업데이트

클라우드에서 실행✓ mcp.cloudflare.com

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Groundrule

Your engineering standards, taught to every coding agent and checked on every PR.

Write a standard once, as a small YAML file in git. Groundrule:

  • teaches your coding agents. It generates AGENTS.md, CLAUDE.md, Cursor rules, and Copilot instructions containing only the standards that apply, without touching what you wrote by hand. An MCP server and hooks let Claude Code, Codex, Cursor and Copilot follow action policies before each tool call and check their own changes before they finish.
  • checks the code. It runs locally and in CI against your changes or the whole repository, with deterministic checks (files, patterns, dependencies, imports, layout, metrics, change sets), Semgrep, and optional AI checks on the Groundrule platform.
  • tells you why. Every finding names the standard, shows the evidence, says how to fix it, and labels whether it came from a deterministic check or AI.

Everything in this repository works offline and without an account. The Groundrule platform adds a shared rulebook, staged rollout, hosted checks and a compliance report on top of it.

Status: 0.x. Groundrule checks its own repositories with it. The document format is groundrule.dev/v1alpha1 and may still change before 1.0; changes are announced in Discussions.

See it in 60 seconds

Quick start

Thirty seconds, no account, nothing leaves your machine:

npx @groundrule/cli init      # detects your stack, picks packs, writes .groundrule/config.yaml

npx @groundrule/cli sync # writes AGENTS.md / CLAUDE.md / Cursor / Copilot instructions npx @groundrule/cli check # checks your uncommitted changes

 groundrule check · 11 standards · 2 files changed

✕ TS-003 No eval or new Function BLOCKER · deterministic (regex) src/app.ts:3 eval or new Function in application code 3: return eval(input); → Parse the input instead: JSON.parse, a schema, or a lookup table of allowed operations. → groundrule explain TS-003

Failed ✓ 7 passed ✕ 1 failed ◇ 2 guidance · 0.1s

A standard

apiVersion: groundrule.dev/v1alpha1

kind: Standard metadata: id: DEP-008 title: Use the platform HTTP client type: forbidden-tech owner: team:platform spec: severity: warning requirement: Backend services must use @acme/http-client for outbound HTTP calls. examples: forbidden: ["import axios from 'axios'"] checks:

  • evaluator: dependencies forbid: [axios, got, node-fetch] allowInstead: ["@acme/http-client"]

More in examples/foundation.

Commands

CommandWhat it does
groundrule initCreate .groundrule/config.yaml with packs for your stack
groundrule sync [--check] [--upload]Write (or verify) coding-agent instructions; --upload reports what the repository delivers to agents
groundrule check [--base ] [--all]Check changes, a branch, or everything. `-f json\sarif\markdown, --summary `
groundrule standardsList the standards in effect
groundrule keys generateCreate a signing key pair for check results (RFC 0008)
groundrule verify --key Check a run's signature offline
groundrule explain Why a standard exists, examples, how to comply, exceptions
groundrule doctorCheck configuration, tools, and agent files
groundrule packsList bundled packs
groundrule scan [--json] [--upload]Observe this repository against the whole catalog: stack, agent files, tools, and how every rule would do today. Changes nothing
groundrule propose " "Propose a rule for your team to review on the platform. --why, --example, --file path[:line]
groundrule mcpServe your standards to coding agents over MCP, let them check their changes and propose rules (see below)
groundrule hooks [--agents ] [--remove]Have Claude Code, Codex, Cursor, or Copilot follow action policies before each tool call and run the check when they finish a task (see below)
groundrule loginSign in to your organization on the Groundrule platform (browser approval)
groundrule whoami / logoutShow or remove (and revoke) your saved sign-in

Exit codes: 0 passed, 1 failed, 2 configuration or usage error.

Using the Groundrule platform (optional)

Everything above works offline. If your organization manages its standards on the Groundrule platform, connect a repository instead of listing packs:

npx @groundrule/cli login               # approve this computer in your browser

npx @groundrule/cli init --org acme # writes platform: { org: acme } to .groundrule/config.yaml npx @groundrule/cli sync # your organization's rules, with every customization

groundrule scan --upload shares a scan with your organization so it can see which rules fit each repository. It also imports what you already have as proposals: instructions from AGENTS.md, CLAUDE.md, Cursor, and Copilot files; ESLint, Biome, Ruff, golangci-lint, Checkstyle, PMD, and tsconfig settings that match catalog rules; CODEOWNERS; and the architecture the code already keeps, as proposed boundary rules with the files that would fail each today (RFC 0011; use --no-import to leave these out). Reports contain counts and at most three one-line, redacted snippets per rule (none for security rules, none at all with --no-snippets); --json shows exactly what would be sent. When uploading, the scan also tests your organization's own rules that have checks, drafts included, so you see their impact before publishing them.

groundrule check --upload sends the result to your organization as a compliance record (RFC 0007): which rules were in effect (as a digest anyone with the same rules can recompute), each rule's version, rollout stage and whether it could fail the change, the exceptions that applied, and which coding agents the change's commits declare, from Co-Authored-By trailers and bot authors (counts only; never commit messages or email addresses). Agent counts are a declaration, not proof; leave them out with --no-authorship.

With a signing key in CI (groundrule keys generate, then the private key as GROUNDRULE_SIGNING_KEY), every uploaded run is signed with Ed25519 (RFC 0008); groundrule verify proves later, offline, that a run wasn't altered. The signature covers everything but code snippets. In GitHub Actions, --sigstore signs with the job's own identity instead of a key (RFC 0009, needs id-token: write; opt-in, since the identity and the result's hash go to Sigstore's public log).

What each command takes from the platform depends on the rule's rollout stage: sync writes rules at Teach, Advise, and Enforce into your agent files; check runs Enforce rules as set and Advise rules as warnings. Rules your repository defines in .groundrule/standards/ still apply. In CI, set GROUNDRULE_TOKEN to a token from Settings → API tokens. Sign-ins are saved in ~/.config/groundrule/credentials.json, readable only by you.

Coding agents (MCP)

groundrule mcp is a Model Context Protocol server (stdio) with four tools:

  • list_standards: the rules in effect in the repository, so the agent follows them. Works offline.
  • rules_for: the rules that name the files the agent is about to change (by path or language), blocking first, with how to comply (ADR 0010). The server's instructions tell the agent to call it before editing a file; rules that apply everywhere stay in the agent file. Works offline.
  • check: the same check CI runs, on the agent's uncommitted changes (or since a base ref, or all files). It lists only what the change introduced, with where and how to fix it, so the agent fixes it before it finishes. Works offline. In a repository connected to its workspace, the counts per rule are reported to the workspace (see below).
  • propose_rule: when you correct your agent and say (or agree) that it should apply to everyone, it proposes the rule to your organization's review inbox, with where it came up. Nothing changes until a reviewer accepts it. Needs a connected repository and groundrule login.

Add it to your agent once per repository or user:

claude mcp add groundrule -- npx -y @groundrule/cli mcp          # Claude Code
{ "mcpServers": { "groundrule": { "command": "npx", "args": ["-y", "@groundrule/cli", "mcp"] } } }

The JSON form goes in .cursor/mcp.json for Cursor, .vscode/mcp.json for VS Code (as servers), or your agent's MCP settings. Proposals carry the rule, your reason, and a file and line if given; nothing else from the repository is sent.

Hooks: before each action, and when the agent finishes

groundrule hooks adds two hooks to the agent's project settings. A before-tool hook decides what the agent is about to do against your action policies, and a stop hook runs the check every time the agent finishes a task, whether or not it remembered to:

npx @groundrule/cli hooks        # Claude Code, plus Codex, Cursor and Copilot if the repository uses them
AgentFileBefore an actionWhen the check fails
Claude Code.claude/settings.jsonallow, ask or deny, with the reason; the rules for a file ride along before an edit (ADR 0010)The agent is stopped from finishing and told what to fix
Codex.codex/hooks.jsonallow or deny (ask is delivered as deny, with the reason); each developer trusts the hooks once with /hooksThe same
Cursor.cursor/hooks.jsonshell commands, MCP calls and file reads (ask on a read is deny)What to fix is sent as a follow-up message
Copilot (CLI and cloud agent).github/hooks/groundrule.jsonallow, ask or deny (the cloud agent treats ask as deny)The agent takes another turn with what to fix

Existing settings and hooks are kept. Without an action policy the before-tool hook answers nothing, and without a Groundrule configuration neither hook does anything. The stop hook asks once per turn, so an agent that can't fix something isn't kept going forever. Commit the files so every developer's agent runs them; --remove takes the hooks out again.

What agents may do (action policies)

A standard says what the code must be. An action policy (RFC 0017) says what the agent may *do*: which shell commands, edits, reads, fetches and MCP calls it may run on its own (allow), which a person confirms first (ask, the default), and which are refused (deny). It lives next to your standards, with the same identity, scope, owner, exceptions and rollout stages:

apiVersion: groundrule.dev/v1alpha1

kind: ActionPolicy metadata: id: ACT-001 title: Never force-push spec: severity: blocker effect: deny requirement: Never force

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

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