Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Gateway

by mcpratingversion 0.5.0i★ –iRuns on your computer
Registry nameio.mcprating/gateway

Install

Overview

Description from the maker (original English)

Find MCP servers in the MCP Rating index and connect on demand, with env vars scoped per server.

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

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": {
    "gateway": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp-rating/gateway"
      ]
    }
  }
}

Run this in your terminal

claude mcp add gateway -- npx -y @mcp-rating/gateway

Open in Cursor

Or copy the settings yourself

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

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

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": {
    "gateway": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mcp-rating/gateway"
      ]
    }
  }
}

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain mcprating.io (the registry checks domain ownership)

  • … 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 32417 servers in this category
  • Published to the registry more recently than 95% of the other 32417 servers in this category
  • Basic checks equal to or better than 100% of the other 32417 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 Gateway 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 (0.5.0) reached the registry yesterday.

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, FOGA node

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

FOGA node

by garyyang-finchip

A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.

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.

@mcp-rating/gateway

Run MCP servers without handing them the API keys in your environment.

Whether a server you add can read your environment (AWS_SECRET_ACCESS_KEY, OPENAI_API_KEY, DATABASE_URL) depends on how your client starts it. The official MCP SDKs pass a short allowlist by default: HOME, PATH, USER and a few more. A client or script that passes its whole environment, often just to forward the one token a server needs, hands over everything. We haven't yet measured which popular clients do which, so we don't name any. The gateway doesn't leave it to the client: it spawns every server with a constructed environment, the SDK's short allowlist (PATH, HOME, USER and a few more) plus only the variables you or its manifest name. Nothing else from your environment is there to read.

Files are a different matter. By default a server still runs as you, so it can read what you can — ~/.ssh, ~/.aws/credentials, a project's .env. Only container isolation (opt-in, needs Docker) closes that. See what each level protects.

Started with the whole environmentThrough the gateway
Environment visible to the servereverything the client hada short allowlist (PATH, HOME, USER and a few more), and what you name
Credentials in environment variablesall of themnone you didn't name
Credential files (~/.ssh, ~/.aws, .env)readablestill readable, unless container isolation is on

*Reproduce it yourself in about ten seconds: node demo/run-demo.mjs plants two fake credentials and runs the server both ways. It prints the planted values in full and, for anything real it finds in your environment, only the variable's name, never its value. The GIF is generated by node demo/render-gif.mjs from a clean, synthetic environment, so it shows nothing from any real machine.*

It is also a meta-server: one entry in your config gives you the whole registry, connected on demand rather than pre-loaded.

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

What it costs in context

Context used to be this README's lead argument: 13 meta-tools in place of every configured server's full schema. That assumed the client sends every tool definition on every request. Claude Code, Cursor and Kiro don't by default: they give the model your tools' names and load a definition when it's needed.

We measured all three in October 2026 with ten popular servers' real tool lists, replayed through a stub so that no third-party code ran. Added to every request, compared with no MCP servers:

toolsClaude CodeClaude Code, tool search offCursorKiro (chars)
3 servers45+1,050+14,143+266+3,974
9 servers125+3,085+77,656+910+7,693
10 servers500+14,853+183,889+4,330+26,398
the gateway13+716+5,595+342+3,797

*Claude Code 2.1.308 (tokens as the API counts them), Cursor 3.17.21 (its own estimate), Kiro 1.4.26 (characters, from its log). Compare within a column. Most of the ten-server cost is one server with 375 tools.*

The gateway also takes more requests: it has to find and connect a server before calling it, and those steps stay in the conversation, so every later request sends them again. Over an eight-turn Claude Code session with default settings, the gateway used about 597,000 prompt tokens. Three servers configured directly used 475,000, nine used 510,000 and ten used 710,000. The gateway drew level with ten at the third or fourth turn, and never with three or nine.

So in these clients, don't use the gateway to save context. It still does when your client sends every definition upfront (Claude Code with tool search off), or against a server with hundreds of tools over a longer session. With a few typical servers, configuring them directly is cheaper.

The full write-up, with the method, the one-task bill and what we don't claim: MCP clients now load tool names, not schemas. Reproduce it with the scripts in demo/: claude-code-tokens.mjs (standing cost), claude-code-whole-bill.mjs (one task), claude-code-session.mjs (eight turns), cursor-standing.mjs and kiro-standing.mjs. Earlier versions of this section claimed 10× less context, then about 3×. Both came from our own harness, which sent every definition, like a client with tool search off.

How It Works

┌────────────────────┐       ┌──────────────┐       ┌──────────────────┐

│ Claude Desktop / │ stdio │ │ stdio │ MCP Server A │ │ Cursor / Windsurf │◄─────►│ MCP Gateway │◄──────►│ (e.g. filesystem)│ │ (host client) │ │ │◄──┐ └──────────────────┘ └────────────────────┘ └──────────────┘ │ ┌──────────────────┐ │ └───►│ MCP Server B │ ▼ │ (e.g. github) │ ┌──────────────┐ └──────────────────┘ │ MCP-Rating │ │ Registry API │ └──────────────┘

Instead of manually configuring each MCP server in your client, the Gateway:

  1. Discovers servers via the MCP-Rating registry, listing first the ones it can start right now (see below)
  2. Connects to them on-demand: spawns local ones as child processes, and connects hosted ones to the endpoint the registry lists
  3. Proxies their tools through namespaced names (servername__toolname)
  4. Notifies your client when tools are added/removed

Quick Start

With Claude Desktop

Add to your claude_desktop_config.json:

{

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

Then ask Claude:

  • *"Search for MCP servers that work with databases"* (uses mcp_discover)
  • *"Connect to the sqlite server"* (uses mcp_connect)
  • *"Query my database"* (calls the proxied tool directly)
Cursor

~/.cursor/mcp.json (or .cursor/mcp.json in a project):

{

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

Claude Code
claude mcp add gateway -- npx -y @mcp-rating/gateway
Windsurf

~/.codeium/windsurf/mcp_config.json, same shape as Cursor:

{

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

Kiro

Add to Kiro (Kiro asks before installing), or ~/.kiro/settings/mcp.json (.kiro/settings/mcp.json in a workspace), same shape as Cursor:

{

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

Kiro runs MCP servers only when you are signed in, and if its MCP Servers panel shows Enable MCP, click it first.

Kiro ignores tools/list_changed. It reads the gateway's tool list once, when it connects, so the tools of a server you connect later are never offered to the agent directly. Ask the agent to call them through mcp_call_tool, using the full slug__tool name that mcp_connect prints. Measured on Kiro 1.4.26 with demo/client-probe.mjs.

Any other MCP client
{ "command": "npx", "args": ["-y", "@mcp-rating/gateway"] }

Restart the client after editing its config — most read it only at startup.

What mcp_discover puts first

An agent can only use a server the gateway can start, so results are ordered by that, keeping relevance order within each group:

  1. Verified: the registry's own harness started it and it listed its tools (✓ Started in our test).
  2. Ready, untested: installable here, or a hosted endpoint that needs no header, and any key it declares is set.
  3. Needs setup: a declared key isn't set, its launcher (uvx, docker) isn't installed, or the hosted endpoint needs a header the gateway can't send yet.
  4. Failed in our test: it didn't start when the registry tried it, with no credentials (✗ Didn't start in our test).
  5. Can't start by slug: no install command and no endpoint recorded.

"Verified" means it started and listed tools, not that every tool works without a key. The harness supplies none. Most of the index has never been tried; that says nothing either way.

Meta-Tools

The gateway exposes 13 built-in tools:

ToolDescription
mcp_discoverSearch the MCP-Rating registry; servers the gateway can start now come first
mcp_connectConnect to a server and make its tools available
mcp_disconnectDisconnect a server and remove its tools
mcp_list_activeList connected servers and their tools
mcp_server_infoDetailed info about a server, from the registry or a live connection
mcp_call_toolCall a tool on a connected server
mcp_gateway_healthDiagnostics: version, uptime, connection and registry status
mcp_sandboxView or customise a server's sandbox manifest (env/network/filesystem)
mcp_auditThe safety audit trail — what sandboxed servers actually did
mcp_profilesNamed connection profiles (work, personal, …)
mcp_groupsAtomic connect/disconnect of server sets
mcp_usageCall counts, latency and error rates for connected servers
mcp_recommendServer recommendations based on usage

Trust Tiers

Every connected server is labeled with a trust tier based on its MCP-Rating quality score:

  • [Verified] — High quality + officially verified
  • [Trusted] — Good quality with repository, and an install command or a remote endpoint
  • [Community] — Listed in registry with basic quality
  • [Unverified] — A package MCP Rating doesn't know, from any registry or started by command

A safety score in the risk band caps the tier, as it does on the site: below 50 a server is at most [Community], below 30 it is [Unverified].

What mcp_connect shows, and when it stops

Before anything starts, mcp_connect looks up what MCP Rating knows about the package that would run — from the registry entry, or, for an explicit command or url, from the package itself (npx pkg, uvx pkg, docker run image, the endpoint). A known package started by command is judged as itself, not as [Unverified]. Shown in the confirmation and again once connected:

  • score and trust tier, with the server's page;
  • safety score and each flag with its reason;
  • MCP Rating's own start test: started, didn't start, needs credentials, or not tested;
  • last release and last code push, with where each date comes from.

It stops for a [Community] or [Unverified] server, and, whatever the tier, when the safety score is in the risk band, MCP Rating has delisted the package, or a registry name points at a different package than MCP Rating knows by that name. Wh

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

Ask PopNx