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adsagents/adsagent-ai-skills

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AdsAgent hosted MCP for Meta, Google Ads & TikTok — public Chatgpt/Claude/Cursor/Grok skill pack + install URLs (Model Context Protocol).

MCP

adsagents/adsagent-ai-skills

Added 16 Sept 2026

#adsagent #advertising #agent-skills #ai-agents #chatgpt #claude #cursor #google-ads

Overview

AdsAgent is a hosted Model Context Protocol (MCP) skill pack for Meta, Google Ads, and TikTok. It provides public install URLs for ChatGPT, Claude, Cursor, and Grok. The project is written in Python and acts as a bridge between AI assistants and advertising platforms.

Best for

Best for
Developers who want to control ad accounts through AI chat assistants

Use cases

  • Connect ChatGPT to Google Ads campaign data
  • Manage Meta ads through Claude
  • Query TikTok ad performance from Cursor or Grok

How to use

Tools exposed

  • adsagent-router
  • adsagent-setup
  • adsagent-notifications
  • adsagent-reliability
  • agent-scheduled-tasks
  • meta-insights
  • meta-copy
  • google-ads-insights
  • tiktok-insights

Tested with

Claude Code, Cursor

Notes

AdsAgent is a hosted Model Context Protocol (MCP) skill pack for Meta, Google Ads, and TikTok. It provides public install URLs for ChatGPT, Claude, Cursor, and Grok. The project is written in Python and acts as a bridge between AI assistants and advertising platforms.

3 stars on GitHub. Last updated 2026-09-11. Licensed MIT.

Use cases

  • Connect ChatGPT to Google Ads campaign data
  • Manage Meta ads through Claude
  • Query TikTok ad performance from Cursor or Grok

Pros

  • Supports three major ad platforms
  • Hosted MCP, no self-hosting required
  • Simple install URLs for popular AI assistants

Cons

  • Very low GitHub stars (3), indicating minimal adoption
  • Depends on a hosted service, which may raise data privacy concerns
  • Limited documentation or community support implied by project maturity

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports three major ad platforms
  • Hosted MCP, no self-hosting required
  • Simple install URLs for popular AI assistants

Cons

  • Very low GitHub stars (3), indicating minimal adoption
  • Depends on a hosted service, which may raise data privacy concerns
  • Limited documentation or community support implied by project maturity

Pairs with

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