Meetlark MCP Server — Agent-First Meeting Polls
MCP server for Meetlark — an agent-first meeting scheduling poll platform. Enables AI agents to create meeting polls, collect availability votes from participants, and find optimal meeting times. Designed natively for both human and AI agent participants in scheduling workflows.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Personal scheduling data. Shareable poll links require access control. Availability data reveals personal patterns. Emerging platform.
⚡ Reliability
Best When
An AI assistant manages meeting scheduling for a human and needs to poll multiple participants for availability — replacing the manual back-and-forth of finding a common time slot.
Avoid When
You need direct calendar booking integration. Meetlark is for availability polling, not confirmed reservation booking.
Use Cases
- • Creating meeting availability polls from scheduling automation agents
- • Collecting and aggregating meeting time preferences from executive assistant agents
- • Finding optimal meeting slots for groups from calendar coordination agents
- • Automating the back-and-forth of meeting scheduling in multi-party coordination
Not For
- • Calendar booking with confirmed slots (polling/availability focus)
- • Enterprise calendar systems requiring deep calendar integration
- • Single-person scheduling without group coordination needs
Interface
Authentication
Meetlark account credentials required. Remote MCP endpoint. Polls are shareable links — no auth required for participants to vote.
Pricing
Emerging scheduling service — pricing not publicly documented.
Agent Metadata
Known Gotchas
- ⚠ PRIVACY: Meeting participant names and availability times are personal scheduling data
- ⚠ Poll links are shareable — ensure appropriate access controls on poll results
- ⚠ Agent-created polls must be clearly attributed — participants should know they're responding to AI
- ⚠ Novel service — validate that poll delivery and voting works reliably before production use
- ⚠ Meeting polls require participant action — humans must respond for the system to be useful
Alternatives
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Scores are editorial opinions as of 2026-03-07.