The best Claude connectors for marketing and advertising

What a connector actually does

An MCP connector is a server that exposes typed tools to the model. When you attach a connector to Claude, the model sees a list of callable functions — list_campaigns, get_account_snapshot, propose_change — and nothing else. The connector decides which scopes to grant and what the model is allowed to do with them.

This is the detail most connector comparison posts skip. The interesting question is not "does it work with Google Ads" but "what can Claude do once connected — and what is physically prevented?"

The safety split: read vs draft vs approve

Every serious advertising connector has to answer the same question: can the model spend money on its own? The answer determines how much trust you need to extend before connecting.

SpendSignoff issues two scopes to the model: mcp.read and mcp.draft. There is no mcp.approve. A drafted change sits as a before→after diff until a human confirms it with a two-step approval in the dashboard. The enforcement lives server-side, not in a system prompt the model could theoretically be coaxed past.

Google's official MCP server: what it covers

Google ships a read-only MCP connector for Google Ads. It is genuinely useful for pulling performance data into a conversation — you can ask Claude to summarize your top campaigns, compare cost-per-click across ad groups, or flag anomalies in impression share. What it does not do is write anything back.

For analysis and briefing workflows, that is often enough. For teams that want to close the loop — review a proposed bid change, approve it, and push it live — the read-only boundary is the sticking point.

What to look for in any connector

• Scope inventory — can you audit exactly what permissions the model holds? Read-only? Draft-only? Full write?
• Approval location — is the confirm button in the dashboard or in the chat window? Server-side or client-side?
• Audit log — is every approved and rejected action signed and stored, or is the conversation history the only record?
• Token storage — are your OAuth refresh tokens encrypted at rest, or does the connector ask you to paste a service account key into a settings form?
• Platform coverage — V1 Google + Meta is the realistic starting point; connectors claiming six platforms on day one usually have shallow depth on all of them.

SpendSignoff vs the field

SpendSignoff is built on the assumption that the AI should draft and the human should decide. Google Ads and Meta are live in V1, with LinkedIn and TikTok on the roadmap. Every change goes through the same path: Claude proposes a typed draft, you see the before→after diff, you approve or reject. The audit log is KMS-signed.

If you want the AI to act fully autonomously — no confirmation required — SpendSignoff is the wrong tool. The propose-only autonomy model in V1 is a deliberate product decision, not a limitation the team is trying to overcome.