Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Run MCP tool calls through Runestone Gatekeeper — policy enforcement, human approval, audit.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
GATEKEEPER_ROLE, GATEKEEPER_URL, GATEKEEPER_AGENT_NAME, GATEKEEPER_RUN_IDYou need
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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-mcpFill in the empty values before running it.
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.
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.
GATEKEEPER_URL envGATEKEEPER_AGENT_NAME envGATEKEEPER_RUN_ID envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account Runestone-Labs, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: GATEKEEPER_ROLE
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).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Recta
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
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.
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
A running Gatekeeper server (see the repo root). This package is just the MCP front door; it does nothing on its own.
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" } } } }
| Env | Required | Default | Meaning |
|---|---|---|---|
GATEKEEPER_ROLE | yes | — | The policy role this server presents to Gatekeeper for every call. |
GATEKEEPER_URL | no | http://127.0.0.1:3847 | Gatekeeper base URL. |
GATEKEEPER_AGENT_NAME | no | mcp-client | Name recorded in audit logs. |
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.
| Tool | Gatekeeper tool | Use |
|---|---|---|
shell_exec | shell.exec | Run a shell command. |
files_write | files.write | Write a file. |
http_request | http.request | HTTP 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:
This server is a policy boundary, so it is deliberately strict:
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.../, slashes, and the like are rejected before any request.These invariants are covered by an adversarial test suite (src/*.test.ts).
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.
Apache-2.0