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PopNx MCPMCP servers for people who use AI · explained in plain words

LoomaScale Ads

by loomascaleversion 1.0.0i★ –iRuns in the cloud
Registry namecom.loomascale/ads

Install

Overview

Description from the maker (original English)

Run Google Ads and Meta Ads from ChatGPT or Claude: audit wasted spend, create and manage campaigns.

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 in the cloud
  • Transport: Streamable HTTP
  • Category: Marketing & social media

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://api.loomascale.com/mcp

Run this in your terminal

claude mcp add --transport http ads https://api.loomascale.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ads": {
      "url": "https://api.loomascale.com/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": {
    "ads": {
      "type": "http",
      "url": "https://api.loomascale.com/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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://api.loomascale.com/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain loomascale.com (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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2969 servers in this category
  • Published to the registry more recently than 34% of the other 2969 servers in this category
  • Basic checks equal to or better than 100% of the other 2969 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 LoomaScale Ads 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) 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. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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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.

ads-mcp

Self-hostable MCP servers that let ChatGPT or Claude run real ad accounts — with spend guardrails they cannot talk their way past.

MIT licensed. Extracted from a production service that has run live campaigns from inside ChatGPT since 2026.

Servers

What it doesDocs
[google-ads-mcp](google-ads/README.md)42 tools over the Google Ads API: performance, keyword research, campaign and Performance Max creation, budget and bidding changesREADME

Meta Ads is next.

Run one

No JDK, no Maven, no source build:

curl -O https://raw.githubusercontent.com/loomascale/ads-mcp/main/docker-compose.yml

curl -O https://raw.githubusercontent.com/loomascale/ads-mcp/main/.env.example cp .env.example .env && $EDITOR .env # every value documented in place docker compose up

Then open http://localhost:8080/connections and connect an ad account.

Set MCP_DEFAULT_MAX_DAILY_BUDGET_CENTS low before pointing this at a live account. It is the last thing between a model and your card.

Full prerequisites — the Google Ads developer token in particular, which needs an application and takes days to approve — are in the server README.

What these will not do

Worth reading before running anything, because money is involved:

  • Nothing goes live by itself. Campaign creation has no status field in its tool schema, so a model *cannot* create an enabled campaign. Activation is a separate tool.
  • Only campaigns this server created can be activated through it. One made in the ad platform's own UI is refused, because its budget never passed the cap check.
  • Every budget change is checked against a cap you set, in the account's own currency. The server refuses; it never silently clamps.
  • Per-tool daily limits and a runaway-loop guard, so a stuck model cannot make hundreds of changes.
  • Single-operator by default. One password, one account. Not a multi-user login.

Build it as a library

mcp-core is the reusable half: MCP's JSON-RPC transport, a tool registry SPI, and a minimal OAuth 2.1 authorization server with dynamic client registration, PKCE and refresh-token rotation. If you want ChatGPT or Claude to call *your* tools over an authenticated endpoint, that is the part to depend on — it knows nothing about advertising beyond a few shared abstractions the platform servers reuse.

Repository layout

One repository, one version. A change spanning the core and a platform is one commit and one build, which is why this is not three repositories:

mcp-core/            protocol, OAuth 2.1 server, shared ads abstractions

google-ads/client/ Google Ads API client — no Spring, no MCP, usable on its own google-ads/server/ the runnable MCP server and its tools

google-ads/server resolves mcp-core at ${project.version} inside the reactor, so a fresh clone builds with nothing published anywhere:

./mvnw verify

Security

Credentials are encrypted at rest with AES-256-GCM. Authorization codes and refresh tokens are stored hashed and are single-use; reusing a rotated refresh token revokes the whole family. Model-supplied image URLs pass an SSRF policy before anything is fetched. Tool arguments are never logged — only argument names.

Put TLS in front of any of this. Report vulnerabilities privately: see SECURITY.md.

Who builds this

These servers are extracted from [LoomaScale](https://ai.loomascale.com), an AI operator for Google Ads: you talk to ChatGPT or Claude, and it reads your account, finds waste, and makes the changes. This repository is the engine that runs it — not a demo or a cut-down version. The tools here are the same ones that have created and managed live campaigns since 2026, guardrails included.

What stays in the product rather than here is the commercial half: accounts and billing, usage metering, the multi-user dashboard, and the connect flows for people who do not want to run a server. mcp-core exposes those as replaceable interfaces — QuotaPolicy, ResourceOwnerAuthenticator, AdsConnectionStore — precisely so the open-source build has working defaults and LoomaScale can substitute its own.

Would you rather not run a server?

ai.loomascale.com is the hosted version. Same tools, no Docker, no developer token application, no OAuth client to register. It starts with a free Google Ads waste audit — the assistant reads your account and reports what is being wasted, before you pay anything. Plans and limits are on the pricing page.

Self-hosting is a genuine alternative, not a teaser: everything needed to run these servers against your own accounts is in this repository under the MIT licence, with no feature held back and no phone-home.

Useful even if you self-host

The connection guides are written for the hosted product but the client-side steps are identical against your own server — the same consent screen, the same connector setup:

Other things extracted from the same codebase live at ai.loomascale.com/oss.

Contributing

See CONTRIBUTING.md — the secrets section first.

Built and used in production by LoomaScale. MIT licensed.

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