Paid Media Agent Bundle
Pre-built agent package for performance marketers — multi-channel ad management, budget optimization, and attribution reporting.
Getting Started
See /data/bundles/paid-media-agent/bundle.yaml for full install instructions
About this Tool
A curated bundle for performance marketing professionals managing paid campaigns across Google, Meta, LinkedIn, and TikTok. Covers campaign creation, bid management, audience analysis, competitive creative research, and attribution reporting — all from a single AI agent interface.
Includes setup files for Claude Code (CLAUDE.md) and Paperclip (AGENTS.md).
Component tools: - causal-impact-campaign-skill: Bayesian measurement of campaign lift - research-to-convert-skill: Audience psychology and CRO frameworks - google-ads-mcp-official: Google Ads campaign management (official) - meta-ads-mcp: Facebook and Instagram ad campaign management - linkedin-ads-mcp: LinkedIn campaign management and lead gen forms - tiktok-ads-mcp: TikTok campaign management and creative analytics - google-analytics-official-mcp: GA4 conversion and revenue attribution - amplitude-mcp: Product analytics and funnel analysis - facebook-ads-library-mcp: Competitor ad creative intelligence - similarweb-mcp: Audience overlap and traffic source research
Use Case Examples
- Audit all Google Ads campaigns, identify wasted spend, and suggest negative keyword additions
- Pull Meta Ads performance for the last 30 days, calculate ROAS by creative, and flag underperformers
- Research competitor ad creative on Facebook Ads Library and generate 5 ad concept variations
- Run a causal impact analysis to measure the true lift from last month's LinkedIn campaign
- Build a cross-channel performance report comparing CAC and ROAS across Google, Meta, and LinkedIn
MarketCore Editorial Review
MarketCore Editorial Review
The strongest paid media bundle available for Claude — covers all four major ad platforms with official or high-quality MCPs, backed by two measurement skills that go beyond dashboard reporting. The causal-impact-campaign-skill is a standout: it brings Bayesian lift measurement that most media teams run manually in R or Python. Advanced skill level is warranted — this bundle requires API credentials for 4+ ad platforms and assumes fluency with campaign structure and attribution models.
Best For
- Multi-platform campaign audits with spend efficiency analysis
- Creative performance analysis and competitor research via Ads Library
- Bayesian campaign lift measurement and incrementality analysis
- Cross-channel attribution reporting combining ad platform data with GA4
Code Quality
Built around official MCPs from Google and Meta where available. All component tools independently scored 7.5+ in the catalog. The two skills add analytical depth that raw API access alone cannot provide.
Limitations
Requires active paid accounts and API access on each ad platform — at minimum Google Ads and Meta are recommended as a starting subset. TikTok MCP is community-maintained and may lag API changes. LinkedIn Ads MCP has read-heavy tools; some write operations require careful testing.
Reviewed 2026-04-03
Related Tools
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Google Ads MCP Server (Official by Google)
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Meta Ads MCP Server
MCP server for managing Facebook and Instagram ad campaigns via Meta Ads API.
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