mcp · handle pimea
ai_search_intelligence · job 73%Adology AI · job 83%agent-ip · job 74%PaidSync · job 73%Earlywire — Marketing & Growth Intelligence · job 80%Quanti · job 75%Meta Ads · job 75%AdKit — Ads MCP · job 80%shadow · job 78%analytics · job 71%adcrunch · job 71%mcpmarketing · job 78%entelligence · job 74%omnisignal_2 · job 84%openrushmcp · job 83%Lazy Ads MCP · job 74%loomascale · job 76%Adchestra · job 73%hypeagent · job 77%google_ads_mcp · job 76%google_meta_ads_ga4_mcp · job 72%scout · job 78%all_about_ads_mcp · job 76%Madgicx · job 73%AdWeave Meta Ads · job 71%armavita_meta_ads_mcp · job 75%Ninar AI · job 73%moltarch · job 91%SellerMate MCP · job 75%MCP Ads · job 77%auracite · job 75%Get MCP Ads · job 75%Pixero MCP Server · job 81%Amazon Ads MCP Server · job 74%hypd_ai_ads · job 73%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