# joinly

> Use this tool when you need to integrate AI agents into video calls for real-time interaction and collaboration. Joinly solves the problem of limited AI participation in virtual meetings by providing an interface for agents to join and engage through an MCP server. It accepts video call inputs and outputs real-time meeting interactions, ideal for use cases requiring AI-driven communication and teamwork.

Canonical page: https://skillsregistry.net/skills/joinly-ai-joinly  
JSON: https://api.skillsregistry.net/v1/skills/joinly-ai-joinly

## Description

Enables AI agents to join and actively participate in video calls, providing real-time interaction and meeting tools through an MCP server.

## Trust

- **Trust score (0–1):** 0.16
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s0az2yvvg5)
- **Repository:** <https://github.com/joinly-ai/joinly>

## 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": "joinly-ai-joinly"
    }
  }
}
```

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