Adrails

ai.adrailsv1.0.1Updated Oct 3, 2026

Specialist AI agents for Meta Ads and Google Ads. Every change waits for your approval.

VerifiedStreamable HTTPWeb executableBusiness & Commerce

Overview

AI-generated overview

Adrails provides specialist AI agents for Meta Ads and Google Ads, with every change waiting for your approval.

What it does
Adrails offers specialist AI agents focused on Meta Ads and Google Ads. According to the registry description, every change the agents propose waits for your approval before taking effect. The manifest lists no tools, so the specific operations available are not documented here.
When to use it
Consider it when you manage Meta Ads or Google Ads campaigns and want an assistant to help with advertising work while keeping a human approval step before changes are applied.
Requirements
It runs as a remote endpoint at adrails.ai over streamable HTTP. The manifest declares no authentication, environment variables, or headers, and no packages. An account or credentials may still be needed in practice, but the input does not show any.
Before you install
The description states that changes wait for your approval, which suggests the agents can modify advertising campaigns once approved. Review what each proposed change does before approving it, since ad changes can affect live campaigns and spending. The manifest declares no authentication, so verify how access to your ad accounts is actually secured.

Installation

In SourceWeft

  1. Open Adrails in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "adrails": {
      "type": "http",
      "url": "https://adrails.ai/api/mcp"
    }
  }
}

README

[Adrails]

Adrails MCP server

Remote MCP server for Adrails, the AI workspace for paid media. Connect Claude, Claude Code, ChatGPT, Codex or any remote MCP client to your Meta Ads and Google Ads accounts, your store and your analytics. Reads run at once; every advertising change comes back as a proposal you approve in the browser before it reaches Meta or Google.

This repository holds the listing metadata. The server itself is hosted by Adrails: there is nothing to install or run.

Server URLhttps://adrails.ai/api/mcp
TransportStreamable HTTP
AuthenticationOAuth 2.1 with PKCE and dynamic client registration
Official MCP Registryai.adrails/adrails
Documentationadrails.ai/docs/mcp

Connect

You need an Adrails account. Every client uses the same URL; the client registers itself and you sign in to Adrails, then choose the workspace and the permissions on the consent screen.

Claude (claude.ai and desktop): Settings, Connectors, Add custom connector. Name it Adrails, paste https://adrails.ai/api/mcp, leave the OAuth client ID and secret empty, then connect.

Claude Code

sh
claude mcp add --transport http adrails https://adrails.ai/api/mcp

Then run /mcp, select adrails and authenticate.

ChatGPT: turn on Developer mode in Settings (it depends on your plan and workspace policy), open Plugins and add a custom MCP server named Adrails with the URL above and OAuth authentication.

Codex

sh
codex mcp add adrails --url https://adrails.ai/api/mcpcodex mcp login adrails

Full steps, including other clients: Connect an AI client.

What it can do

63 tools, filtered by the permissions you grant and your role in the workspace:

  • Performance and analysis: period and daily performance, metric comparisons, diagnosis, portfolio and business reviews across Meta and Google Ads, with store revenue next to ad metrics.
  • Campaigns: campaign structure, drafts, templates, media, audience and keyword research (including Google Keyword Planner volumes).
  • Changes under approval: budget, status and campaign launches are prepared as proposals with a link to review the exact before and after.
  • Business data: Shopify, Klaviyo, Stripe, Triple Whale and PostHog connections, orders, customers and revenue.
  • Workspace: automations, Knowledge, channels and job status.

Every tool, its inputs and its access level: MCP tools reference.

Try

  • Which Meta and Google Ads campaigns wasted the most spend last week, and why?
  • Compare blended ROAS this month with last month, using Shopify revenue.
  • Prepare a 20% budget increase on my best campaign. Nothing changes until you approve the link it returns.

Security

A tool call runs no Adrails AI model, so it uses no agent credit (except an automation with an agent step), and it never writes to an ad account by itself: a change to Meta or Google Ads needs your explicit approval, signed in to Adrails, before the proposal expires. Connections can be revoked at any time from the MCP page in Adrails. Details: MCP security.

Support

[email protected] · adrails.ai · Built by TBSS Labs, LLC. Not affiliated with Meta Platforms, Inc. or Google LLC.

Source: README.md at commit b565b8c

Tools

0
Tool metadata has not been indexed yet.

Version history

1
  1. v1.0.1LatestOct 3, 2026