MCP for ad teams
MCP for ads.
Inspect accounts, build reports, and keep risky writes behind approval from one hosted endpoint.
Four motion plates, one endpoint.
Four short, silent clips carry the story without making the page heavy. Keep each one in the same 16:9 frame.
Ask across accounts
Start with a plain-language request and let the MCP server map it to the right ad account tools.
Inspect before action
Review campaigns, budgets, keywords, ads, and change history before anyone touches live settings.
Shape the report
Pull the dimensions and metrics your team needs without leaving the AI client.
Gate risky writes
Keep read workflows fast while sensitive actions stay explicit, visible, and controlled.
Ask like an operator.
Prompts stay close to the work your team already does: audit, explain, compare, and prepare.
Show campaigns with spend rising faster than conversions.
Summarize what changed before yesterday's CPA jump.
Create a weekly paid search pacing view for the client.
Built for the messy middle of ad work.
Adsyncs MCP sits between AI clients and platform APIs, so your team can move from question to evidence without rebuilding context each time.
Account audit
Find budget drift, broken tracking, search term waste, and stalled campaigns from one conversation.
Reporting prep
Ask for channel performance, segment it by account or campaign, then move the result into the next workflow.
Change diagnosis
Trace what changed around a spike or dip, with source data close enough to verify.
Fast reads. Guarded writes.
The experience is designed for analysis first, with clear separation around anything that can alter an account.
- Read-heavy tools are fast by default.
- Write paths are separated from inspection.
- Approvals stay visible before sensitive changes.
- The same endpoint works across supported ad platforms.
Bring ad accounts into your AI client.
Start with read workflows, then add approval-gated actions when your team is ready.