Calendar-Aware Scheduling for AI Agents
Let agents create the poll, not another thread
WhenToMeet's API and MCP direction turns group scheduling into an automation surface. Agents can create polls, route users into availability collection, and keep humans in control of the final time.
La Sfida
- ✕AI assistants can draft emails but still struggle to coordinate real group availability
- ✕Calendar access without a poll creates privacy and consent problems
- ✕Automations need a durable link that humans can review and share
- ✕Teams want agents to reduce scheduling work without silently booking the wrong time
- ✕Developer workflows need a clear upgrade path from manual scheduling to API usage
Come WhenToMeet aiuta
Automation-ready scheduling
Use a scheduling poll as the human-approved object that agents can create, share, and monitor.
Human-in-the-loop control
Agents can reduce coordination work while organizers still decide when a meeting is actually finalized.
Links agents can hand off
A poll URL is easy for an AI assistant to place into email, chat, CRM notes, or internal workflows.
Calendar-aware foundation
Connected calendars give automations better context than a plain form or email template.
Caratteristiche Principali
Poll creation workflows
Create scheduling polls as the core primitive for multi-person coordination.
Group availability collection
Collect responses from multiple humans while preserving the simple participant experience.
Pro-gated API surface
API and MCP usage belongs with power users who need reliable automation and higher intent workflows.
Agent-native workflows
MCP-oriented scheduling flows are a bold expansion path for AI assistant users and internal operations teams.
Inizia in 3 Passaggi
Connect the scheduling account
Use a WhenToMeet account as the automation owner for polls and booking workflows.
Let the agent prepare the poll
The agent creates or drafts the coordination object and shares a link with participants.
Keep finalization explicit
Humans review the availability result and choose when the meeting should happen.
Domande Frequenti
What is MCP in this context?+−
MCP is a way for AI assistants to use external tools. For scheduling, the useful primitive is a poll or booking workflow that an assistant can create and hand off.
Is API access free?+−
API and MCP-style power usage is best suited to paid plans because it creates ongoing automation value.
Can an AI assistant book meetings automatically?+−
The safer workflow is human-in-the-loop: the assistant prepares and shares the poll, then the organizer finalizes the best time.
Who is this for?+−
Developers, operations teams, founders, recruiters, and AI power users who repeatedly coordinate meetings through assistants or internal tools.
Does this expose calendar details to participants?+−
No. Calendar-aware scheduling should preserve the existing privacy model and avoid exposing private event details.
Can this integrate with CRMs or internal tools?+−
Yes. A scheduling API can be used from internal tools, support workflows, recruiting pipelines, and AI assistant actions.
Pronto a semplificare la programmazione?
Gratis per sempre. Nessuna carta di credito richiesta.