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Gatekeeper

by Runestone-Labsversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.Runestone-Labs/gatekeeper

Install

Overview

Description from the maker (original English)

Run MCP tool calls through Runestone Gatekeeper — policy enforcement, human approval, audit.

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: Other
  • You need to fill in: GATEKEEPER_ROLE

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).
  • You fill in yourself: GATEKEEPER_ROLE, GATEKEEPER_URL, GATEKEEPER_AGENT_NAME, GATEKEEPER_RUN_ID

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": {
    "gatekeeper": {
      "command": "npx",
      "args": [
        "-y",
        "@runestone-labs/gatekeeper-mcp"
      ],
      "env": {
        "GATEKEEPER_ROLE": "your-value",
        "GATEKEEPER_URL": "your-value",
        "GATEKEEPER_AGENT_NAME": "your-value",
        "GATEKEEPER_RUN_ID": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add gatekeeper --env GATEKEEPER_ROLE=your-value --env GATEKEEPER_URL=your-value --env GATEKEEPER_AGENT_NAME=your-value --env GATEKEEPER_RUN_ID=your-value -- npx -y @runestone-labs/gatekeeper-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "gatekeeper": {
      "command": "npx",
      "args": [
        "-y",
        "@runestone-labs/gatekeeper-mcp"
      ],
      "env": {
        "GATEKEEPER_ROLE": "your-value",
        "GATEKEEPER_URL": "your-value",
        "GATEKEEPER_AGENT_NAME": "your-value",
        "GATEKEEPER_RUN_ID": "your-value"
      }
    }
  }
}

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": {
    "gatekeeper": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@runestone-labs/gatekeeper-mcp"
      ],
      "env": {
        "GATEKEEPER_ROLE": "your-value",
        "GATEKEEPER_URL": "your-value",
        "GATEKEEPER_AGENT_NAME": "your-value",
        "GATEKEEPER_RUN_ID": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • GATEKEEPER_ROLE required env
    Policy role this server presents to Gatekeeper for every call. Required.
  • GATEKEEPER_URL env
    Base URL of the Gatekeeper server. Default http://127.0.0.1:3847.
  • GATEKEEPER_AGENT_NAME env
    Agent name recorded in Gatekeeper audit logs. Default mcp-client.
  • GATEKEEPER_RUN_ID env
    Optional run-correlation id so calls count toward one per-run budget.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Runestone-Labs, 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 Otheri

  • More stars than 0% of the other 32484 servers in this category
  • Published to the registry more recently than 33% of the other 32484 servers in this category
  • Basic checks equal to or better than 100% of the other 32484 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 Gatekeeper 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?

You need to fill in: GATEKEEPER_ROLE

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 (0.1.2) reached the registry 2 months 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: Spec Driven Development, Remote Desktop Commander, Recta

Alternatives

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

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

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
Install

Recta

by RectaBuild

Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.

Computer or cloudUpdated today
Install

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.

Runestone Gatekeeper — MCP Server

An MCP server that lets any MCP client (Claude Desktop, Claude Code, Cursor, …) run real tool calls — shell, file writes, HTTP, or any Gatekeeper tool — only through [Runestone Gatekeeper](https://github.com/Runestone-Labs/gatekeeper). Every call is policy-checked, may require human approval, and is audited. The model never touches your systems directly; Gatekeeper sits in front.

MCP client (LLM)  ──tools/call──▶  gatekeeper-mcp  ──policy-gated──▶  Gatekeeper  ──▶  shell / files / HTTP

Requirements

A running Gatekeeper server (see the repo root). This package is just the MCP front door; it does nothing on its own.

Install / configure

It runs over stdio. Add it to your MCP client config, e.g. Claude Desktop (claude_desktop_config.json):

{

"mcpServers": { "gatekeeper": { "command": "npx", "args": ["-y", "@runestone-labs/gatekeeper-mcp"], "env": { "GATEKEEPER_URL": "http://127.0.0.1:3847", "GATEKEEPER_ROLE": "openclaw" } } } }

EnvRequiredDefaultMeaning
GATEKEEPER_ROLEyes—The policy role this server presents to Gatekeeper for every call.
GATEKEEPER_URLnohttp://127.0.0.1:3847Gatekeeper base URL.
GATEKEEPER_AGENT_NAMEnomcp-clientName recorded in audit logs.

Shared approvals for unattended agents

Local Gatekeeper and this MCP integration are free. Need a teammate to handle approvals while your agents run unattended? We're testing Gatekeeper Team at $49/month, for up to five members and five instances. The proposed Cloud service would coordinate a held action, a teammate's approval or denial, and a record of the outcome. Cloud is planned, not publicly available, and no payment is collected during this test. Only actions actually routed through Gatekeeper are covered; installing the MCP server does not cover a client's other tools.

See the proposed workflow and share your team's needs. The form also lets you optionally report a first real routed action or return use on a later day. These are manual self-reports, not verified external activation. Don't send commands or raw audit logs; this test adds no automatic usage reporting to the MCP server.

Tools

ToolGatekeeper toolUse
shell_execshell.execRun a shell command.
files_writefiles.writeWrite a file.
http_requesthttp.requestHTTP GET/POST (egress-policed).
gatekeeper_call*(any)*Generic escape hatch — call any Gatekeeper tool (e.g. memory.query) by name.
gatekeeper_health—Check the Gatekeeper server is reachable.

Every gated call returns one of:

  • allow → the tool output.
  • deny → an *error* result explaining why (the call did not run).
  • approve → an *error* result saying a human must approve it in Gatekeeper; the call did not run.

Security model

This server is a policy boundary, so it is deliberately strict:

  • Identity is pinned server-side. Role comes from GATEKEEPER_ROLE; origin is fixed to model_inferred and taint to mcp_client. The MCP client cannot set or override actor / role / origin / taint / capability tokens via tool arguments — there is no code path from a tool argument to any of those.
  • Fail closed. A deny, a pending approval, or *any* malformed/unexpected Gatekeeper response is surfaced as an error — never as a successful result.
  • No endpoint traversal. Generic tool names are validated as strict dotted identifiers; ../, slashes, and the like are rejected before any request.
  • No leakage. The Gatekeeper URL and anything resembling a credential are scrubbed from error messages before they reach the client.

These invariants are covered by an adversarial test suite (src/*.test.ts).

Distribution

Published to npm as @runestone-labs/gatekeeper-mcp and listed on the MCP Registry as io.github.runestone-labs/gatekeeper (see server.json). The MCP Registry is in preview.

License

Apache-2.0

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