# ai.meetlark/mcp-server

> Use this tool when you need to coordinate meeting times among humans and AI agents, creating polls and voting on schedules to find mutually available times. It solves the problem of scheduling conflicts by providing a platform for agents and humans to collaborate on meeting times. The tool accepts meeting time proposals as input and outputs a consensus-based schedule.

Canonical page: https://skillsregistry.net/skills/ai-meetlark-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ai-meetlark-mcp-server

## Description

Agent-first meeting schedule polls for humans and agents. Create polls, vote, find times.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.meetlark%2Fmcp-server)

## Use it

MCP endpoint published by the skill: `https://meetlark.ai/mcp`

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": "ai-meetlark-mcp-server"
    }
  }
}
```

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