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Groundrule

by Metricall-AI-Labversion 0.23.1i★ –iRuns on your computer
Registry nameio.github.Metricall-AI-Lab/groundrule

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Metricall-AI-Lab, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 5610 servers in this category
  • Published to the registry more recently than 68% of the other 5610 servers in this category
  • Basic checks equal to or better than 100% of the other 5610 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Groundrule safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.23.1) reached the registry 11 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.2KUpdated 7 days ago

Computer or cloud

Desktop Commander

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

by wonderwhy-erWidely used↓ 709.6K/wk★ 10.2KUpdated 19 days ago

Runs on your computer

Cloudflare MCP

Cloudflare MCP servers

by cloudflareWidely used★ 4.4KUpdated 14 months ago

Runs in the cloud✓ mcp.cloudflare.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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