Ask questions, get pacing checks and approve changes across Meta and Google Ads. The MCP connection is built in, and the AI agent comes with it.
Check this morning's pacing on Meta and Google, and draft pauses for anything above target
The user wants a pacing check across both ad platforms, then held changes…Meta first, then Google. Anything over target becomes a drafted pause for your approval.
A collection of proposals submitted to various clients.
Every strategy we build connects the work to the people who actually see it. We are not generalists who happen to work here — we are the people who do the work.
The method is the same whoever the client is: research, structured planning, and real-time correction, with both the experience and the number it moves in mind.
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MCP is how Claude, Cursor and ChatGPT call other software, and ad platforms now publish their own. The socket is the easy half. Clawnify ships the AI worker on the other end.
Meta Ads and Google Ads connect with OAuth in a couple of clicks, shared across your team or scoped to one agent. Official APIs only, nothing scraped.
Reading is unattended. Writing is not. Budget shifts, pauses and new campaigns arrive as proposals with the reasoning attached, and nothing touches the account until you approve it.
Spend pacing on WhatsApp at the airport, a performance summary in Slack before the client call, the Monday report by email. The agent answers where you already are.
The report era ended quietly. The agent checks pacing every morning, watches the numbers you set, and speaks up when cost per lead drifts. Analysis ends in a drafted change, not a summary.
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Tell your agent which ad accounts it minds and what a good week looks like: target cost per lead, budget ceilings, the numbers to watch.
Authorise both platforms with OAuth from the integrations page, shared with your team or scoped to one agent.
Choose the morning pacing check, the weekly summary, and which changes always need a human yes.
Read the reasoning on each drafted change and approve it from chat; nothing reaches the account without you.
MCP, the Model Context Protocol, is the standard that lets AI products like Claude, Cursor and ChatGPT call other software. An ads MCP exposes your ad accounts that way, and the platforms now publish their own: Meta ships an official ads MCP and Google's reads reports. On Clawnify the connection ships inside the agent, so there is nothing to wire up yourself.
Meta Ads, covering Facebook and Instagram placements, and Google Ads. Both run through the platform's official API. If your spend lives somewhere else as well, tell your agent what you need; integrations are added based on what customers actually run.
Both, with different rules. Reads are unattended: performance, spend, pacing and history are available to any question at any hour. Writes are drafted and held: the agent proposes the budget shift or the pause with its reasoning, and the change reaches the account only after you approve it.
The socket is the easy half now: the platforms publish official MCPs and connectors take minutes. What you are still supplying is everything around it: you open the session, you carry the context, you do the checking. A Clawnify agent is the other half. It holds the connection permanently, keeps the history of what it changed and why, runs its checks on a schedule, and reaches you over WhatsApp, Slack or email. Analysis does not end in a summary; it ends in a drafted change waiting for your yes.
If you spend a few hundred a month on one campaign, the numbers fit in your head and a weekly glance at Ads Manager is enough. It earns its keep when accounts, campaigns and platforms multiply past what one person can watch. It is also not a media buyer: it executes and reports with judgement, and the strategy, the offer and the creative direction stay yours.
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