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Manage Google, Meta, and more from your AI assistant

Blend MCP connects your AI assistant to major ad platforms so you can analyze performance, adjust budgets, and launch campaigns from chat. It’s aimed at marketers and agencies that manage multiple ad accounts across channels.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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Web
Slack
Integrations
B2B
MCP Support
Model Agnostic
For Teams
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About

What It Is

Blend MCP is a marketing operations tool built around the Model Context Protocol (MCP). It connects AI assistants like Claude, ChatGPT, Gemini, and Cursor to major ad platforms, including Google Ads, Meta, TikTok, Microsoft Ads, and Pinterest.

What to Know

This is best understood as an AI-connected ad management layer, not a general-purpose autonomous agent. It can take actions like creating campaigns, adjusting budgets, and generating reports, but the content suggests a human is still directing those...

Key Features
Connects to Google Ads, Meta Ads, TikTok Ads, Microsoft Ads, and Pinterest Ads
Works through MCP with assistants like Claude, ChatGPT, Gemini, and Cursor
Creates and manages ad campaigns from conversational prompts
Adjusts budgets and bidding based on performance data
Generates cross-platform performance reports
Use Cases
An agency account manager checks performance across Google and Meta, then shifts budget in chat based on current ROAS
A performance team launches a new campaign and updates targeting without opening each ad platform separately
A marketer asks for a cross-channel report to send to a client after a campaign review
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Jul 2, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing
  • Free trial: Available from the site’s signup flow.
Details
AddedJuly 2, 2026
RefreshedJuly 2, 2026
Agenticness
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportSingle model
Open sourceNo
MCP supportYes
Team supportSmall team
Pricing modelSubscription
Interfacechat, gui, ide, api
Sources
Last updated July 2, 2026
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