Curated engineering notes and product updates for teams building AI-native advertising operations.
New to ADSMCP? Use this path to understand the product, connect an AI client, and inspect the platform-specific workflows that are ready for governed campaign work.
Strategy - June 16, 2026
Most ad operations tools stop at dashboards or API wrappers. This note explains how MCP gives AI assistants a governed execution layer with read-before-write sequencing, account guards, approval-first changes, and auditable traces for paid media teams.
Related docsSafety - June 12, 2026
AI agents can draft campaign changes quickly, but spend-affecting execution needs constraints. This article maps the ADSMCP approval model across Pending Actions, paused campaign creation, validation tools, and recovery paths for failed execution.
Related docsGoogle Ads - June 9, 2026
Search term analysis, PMax coverage checks, wasted-spend review, and validate-only campaign drafts are strong MCP use cases because each step can be inspected before a campaign budget or launch state changes.
Related docsMeta Ads - June 5, 2026
A practical overview of how AI assistants can review Meta campaign health, creative fatigue, lead workflows, and budget recommendations while preserving platform permissions and human review gates.
Related docsSetup - June 1, 2026
Claude, Codex, Cursor, ChatGPT, Gemini CLI, and other clients can all connect to the same remote MCP endpoint. This guide compares where each client fits in daily campaign review and planning work.
Related docsOperations - May 28, 2026
The tool catalog is the raw interface, but useful advertising work needs repeatable sequences. This piece shows how connection checks, reporting tools, validators, and paused writes combine into safer operating playbooks.
Related docs