Professional
ai_content_drop|Professional|pro|flat
mcp · handle ai_content_drop · source page
ai_content_drop|Professional|pro|flat
ai_content_drop|Starter|individual|flat
ai_content_drop|Ultra|pro|flat
Muapi · job 81%ludo_ai · job 76%nectar_mcp · job 74%promptibus_mcp · job 78%genflowai · job 76%Dora · job 83%gliana_ai · job 73%Pixfaro MCP · job 80%vap_execution · job 72%AI-HIVE Hugging Face MCP Spaces · job 78%bananabanana · job 75%Imaginode MCP Server · job 81%claude_imagine · job 77%varosity · job 79%visual_ai · job 83%magic_hour · job 80%mcpollinations · job 74%meshy_mcp_server · job 79%ModelRunner MCP Server · job 79%morphed_mcp · job 73%clipia_mcp · job 80%Modellix Docs · job 74%VicSee · job 81%ccapi · job 80%corent · job 82%TokenLab MCP · job 75%viewmax · job 75%xSkill AI · job 77%WanAPIs MCP · job 83%budgetpixel_mcp · job 78%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