adops-mcp
Provides AI-driven management of Google Ads and Meta Ads campaigns across platforms. Enables performance analysis, budget optimization, anomaly detection, A/B testing, and spend forecasting via programmatic access. Suited for ad operations specialists and digital marketing analysts handling multi-platform ad strategies.
🚀 Launching today on Product Hunt — part of Automatia MCP Suite (4 servers). Support: https://www.producthunt.com/products/automatia-mcp-suite?launch=autom atia-mcp-suite
Overview
The adops-mcp server offers programmatic control over Google Ads and Meta Ads through an AI-powered interface. It processes campaign data, applies optimizations, and generates insights without manual platform logins, integrating directly into workflows via MCP.
Key Capabilities
- campaign_management: Create, pause, edit, and scale Google Ads and Meta Ads campaigns.
- performance_analysis: Query metrics like CTR, CPC, conversions, and ROI across platforms.
- budget_optimization: Adjust bids and allocations based on AI predictions to maximize efficiency.
- anomaly_detection: Identify unusual patterns in spend or performance, such as fraud or underperformance.
- ab_testing: Launch and monitor A/B tests on ad creatives, targeting, and bidding strategies.
- spend_forecasting: Predict future ad spend and outcomes using historical data and trends.
Use Cases
- An ad ops team uses budget_optimization to reallocate funds from low-performing Meta Ads to high-ROI Google Ads during Black Friday sales.
- A marketing analyst runs anomaly_detection on daily reports to flag sudden CPC spikes in Google Ads campaigns.
- A growth marketer sets up ab_testing for ad copy variations across both platforms and reviews results via performance_analysis.
- A finance lead employs spend_forecasting to plan Q4 budgets based on projected Google and Meta Ads performance.
Who This Is For
Ad operations managers, performance marketers, and data analysts who manage cross-platform campaigns and need automated insights without switching between Google Ads and Meta interfaces.