mcp · handle calendar0bot
googlecalendar · job 89%Google Calendar MCP · job 77%stockvibes07_meeting_mcp · job 82%pingfyr · job 71%scheduler · job 78%calendar_assistant · job 74%Meet.bot · job 76%calcom_mcp_server · job 75%addcal_calendar_links · job 75%personal_context_mcp · job 73%thivi · job 81%mcp_google_calendar · job 80%mcp_fantastical · job 73%che_ical_mcp · job 77%outlook · job 76%greminders_mcp · job 72%agents-calendar · job 76%ya360-mcp · job 71%iCloud Calendar MCP · job 76%ICS MCP · job 73%Hermes CalDAV MCP · job 77%Calendar Agent by Nova · job 74%OpenSlot MCP · job 73%Personal MCP Assistant · job 72%CalDAV MCP · job 77%iCloud MCP · job 75%AgentCalendar · job 74%Google Calendar MCP Server · job 70%SavvyCal MCP Server · job 73%Service Bridge MCP · job 70%orca_cal · job 71%Trilium Calendar MCP · job 76%ainote · job 72%caldav_mcp · job 76%RunMCP · job 75%agent_calendar · job 83%mcp_google_meet_and_calendar · job 78%reassign · job 76%Plany · job 71%Temporal Cortex MCP · job 73%hellotime · job 83%mcp_server_apple_events · job 75%Nagare · job 76%caly · 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