# MeetLark

> Use this tool when you need to streamline meeting scheduling across humans and AI agents, solving coordination challenges and saving time. MeetLark creates and shares scheduling polls, collects votes, and determines optimal meeting times, supporting both autonomous agent-driven and human-led workflows. It integrates with AI assistants to automate scheduling tasks, making it ideal for teams and organizations with complex meeting coordination needs.

Canonical page: https://skillsregistry.net/skills/meetlark  
JSON: https://api.skillsregistry.net/v1/skills/meetlark

## Description

MeetLark is an agent-first meeting scheduling poll service designed as a Doodle alternative for the age of AI agents. It enables AI assistants to autonomously create scheduling polls, share participation links, collect votes from participants, and determine optimal meeting times. Supports both human and agent-driven scheduling workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/meetlark)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "meetlark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meetlark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meetlark/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt