AdPlug: Manage Google, Meta, LinkedIn, Microsoft and Reddit Ads From Chat

Five Ad Platforms, One Chat Window

AdPlug is an MCP connector: it links Google Ads, Meta Ads (Facebook and Instagram), LinkedIn Ads, Microsoft Ads (Bing Ads) and Reddit Ads, plus Google Search Console and HubSpot through separate connectors, to AI tools that can see and act on that data directly. Instead of exporting a CSV from each platform and rebuilding a comparison in a spreadsheet, you ask Claude or ChatGPT to pull the numbers, and it reads straight from the live account. The pitch is narrow by design. AdPlug isn't trying to be a general dashboard or a reporting suite; it's built around the specific workflow of someone who already runs paid media across more than one channel and is tired of tab-switching to piece together what's actually happening across accounts.

How the Core Workflow Feels

A typical session starts with a question rather than a dashboard click: ask for a search-term audit on a Google Ads campaign, a pacing review across Meta and LinkedIn, or a week-over-week CPA comparison across every connected channel, and AdPlug pulls the live data to answer it. From there it can go a step further, drafting a list of negative keywords from the search-term data or suggesting keyword expansion ideas, all inside the same conversation. When a request moves from reporting to actually changing something in an account, the flow adds a stop: AdPlug shows the exact change it's about to make before it runs, and nothing fires until that's approved. That extra step keeps the tool useful for quick audits while still being safe to point at a live, revenue-generating account.

Differentiator: A Preview Before Every Write

The detail that matters most for anyone managing someone else's ad spend is what happens when AdPlug wants to change something. Every connection starts read-only, and write access has to be switched on per platform rather than granted wholesale. Once it's on, any proposed change, a paused keyword, an adjusted bid, a new negative, shows up as a preview of the exact API call before it executes. That's a meaningfully different safety model from a tool that just executes whatever an AI assistant decides to do. It gives a PPC specialist or an agency a way to let an AI assistant do the first pass on a change without handing it blind write access to a client's account.

Differentiator: Built for Agencies Running Several Accounts at Once

A single marketer running their own ad accounts is one use case; an agency running a dozen client accounts across five platforms is a different problem entirely, and AdPlug's agency features are built around the second one. Multi-account management, per-client permissions, shared connections and usage logs are all part of the product, along with native support for Google Ads MCC setups that agencies already use to manage multiple sub-accounts. For a team, that means one person can connect a client's accounts, control who on the team can see or edit which platform, and keep a usage log of what changed and when, rather than sharing one login across the account team.

Who Gets the Most Out of AdPlug

The clearest fit is a PPC specialist or an agency already running campaigns on at least two of Google, Meta, LinkedIn, Microsoft or Reddit Ads, who wants audits, comparisons and first-pass edits to happen from inside Claude, ChatGPT or whichever AI coding tool they already have open, instead of a fifth browser tab. Agencies managing several client accounts under one Google Ads MCC get the most out of the multi-account and permissions layer specifically. Someone running a single ad account who mostly glances at one dashboard a week is a lighter use case, and the free plan is built for exactly that: connect one platform, see what AdPlug surfaces, and decide from there whether staging real edits across every channel is worth moving to Pro.

Ratings