mcp · handle amazonads_mcp
AI Marketing Analytics Copilot · job 72%datadoe-mcp · job 78%pimea · job 74%seller_labs_mcp · job 75%mcpmarketing · job 73%PaidSync · job 75%Apple Search Ads MCP Server · job 70%amazon-data · job 78%armavita_meta_ads_mcp · job 72%klaviyo_mcp · job 74%google_meta_ads_ga4_mcp · job 74%google_ads_mcp · job 81%Pixero MCP Server · job 77%amazon-all-in-one-scrape-mcp · job 76%adspirer · job 79%Meta Ads · job 75%AdWeave Meta Ads · job 70%AdKit — Ads MCP · job 81%loomascale · job 77%Adchestra · job 71%SellerMate MCP · job 86%pptogo_commerce · job 73%ChatGPT Ads MCP · job 72%MCP Ads · job 78%hypd_ai_ads · job 78%amz_vault · job 82%Get MCP Ads · job 81%mailercloud · job 72%amazon_affiliate_mcp · job 75%agent_rails · job 73%amzscout_skill_mcp · job 73%Madgicx · job 74%opus_growth · job 79%Lazy Ads MCP · job 75%Percentages are graph-similarity metadata, not suitability scores. A graph edge answers “is it connected” — plan fit and comparable cost are checked below.
Pick the exact reference and alternative series. Each history is separate; gaps stay gaps.
This view calls the same get_evidence tool your agent would — chart, table and MCP response describe the same records. Watch the reference series