Mcp Server
Let your agent create meeting-time polls, collect votes, and pick slots without you copying Doodle links by hand.
Overview
Meetlark MCP is an MCP server for the Build phase that lets agents create meeting schedule polls, collect votes, and find common times.
What is this MCP server?
- Create schedule polls from the agent
- Vote and aggregate availability in Meetlark
- Agent-first flows alongside human participants
- Hosted remote MCP at meetlark.ai/mcp
- Optional npm @meetlark/mcp-server stdio package v1.0.3
- Remote MCP URL https://meetlark.ai/mcp
- npm package @meetlark/mcp-server version 1.0.3
- Server schema version 1.0.3
What problem does it solve?
Coordinating calls with clients or collaborators still means leaving the agent to paste scheduling links and manually tally responses.
Who is it for?
Solo builders and small teams who want agents to handle async scheduling polls during client work or product collaboration.
Skip if: Teams that need deep Google Workspace calendar write-back, room booking, or enterprise HR scheduling as the source of truth.
What do I get? / Deliverables
Your agent can run Meetlark polls end-to-end so agreed meeting times land in conversation without a separate scheduling tab.
- Agent-created schedule polls with participant voting
- Resolved meeting time recommendations inside agent sessions
Recommended MCP Servers
Journey fit
Scheduling infrastructure is agent tooling you wire up while building workflows that coordinate humans and automation. Agent-tooling is where MCP servers that orchestrate external services belong in the Skillselion build shelf.
How it compares
Poll-based scheduling MCP, not a full calendar sync or video-conferencing replacement.
Common Questions / FAQ
Who is ai.meetlark/mcp-server for?
Indie developers and founders who want Claude, Cursor, or Codex to create and manage meeting polls without manual link wrangling.
When should I use ai.meetlark/mcp-server?
Use it while building agent workflows whenever you need to propose times, gather votes, and confirm a slot with humans or other agents.
How do I add ai.meetlark/mcp-server to my agent?
Add the remote server URL https://meetlark.ai/mcp in your MCP client, or install @meetlark/mcp-server from npm for stdio transport per Meetlark docs.