operations · job 75%apify_mcp · job 78%thinkneo_ai_control_plane · job 74%BuyAPI · job 75%AdKit — Ads MCP · job 76%apiclaw_api_server · job 74%CaseMgr · job 74%Aegis Autonomous AI Agent Platform · job 74%Soundside-ai · job 77%kestral · job 75%monte_carlo · job 74%saleslayer_mcp · job 75%Agentic Shelf · job 73%bwvi_design · job 78%Lemmebuyit · job 78%burn_mcp_server · job 73%apifable · job 76%openrushmcp · job 79%omnisignal_2 · job 76%dynatrace_mcp_server · job 74%Dealboard · job 77%SocioLogic · job 73%thriya · job 78%Auralogs · job 76%ambix · job 74%moltarch · job 77%golemry · job 75%mk_family · job 74%mcp_orchestro · job 76%tasklite · job 78%pm_skills_mcp · job 78%Rapidly MCP · job 78%OpMetrics · job 74%rival_search_mcp · job 75%ProofStack MCP · job 74%amazon-data · job 78%eralabs_ai_ora · job 73%businessmap_mcp · job 74%Epinu MCP · job 77%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