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joinly-ai/joinly

MITAPI key required

🐍☁️ - MCP server to interact with browser-based meeting platforms (Zoom, Teams, Google Meet). Enables AI agents to send bots to online meetings, gather live transcripts, speak text, and send messages

PythonBrowser

Install

uvx joinly-client

Required environment variables

OPENAI_API_KEYSet in your MCP config
ELEVENLABS_API_KEYSet in your MCP config
DEEPGRAM_API_KEYSet in your MCP config

claude_desktop_config.json

claude_desktop_config.json
{
  "mcpServers": {
    "joinly-ai-joinly": {
      "command": "uvx",
      "args": [
        "joinly-client"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
        "ELEVENLABS_API_KEY": "<YOUR_ELEVENLABS_API_KEY>",
        "DEEPGRAM_API_KEY": "<YOUR_DEEPGRAM_API_KEY>"
      }
    }
  }
}

Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.

What this does

joinly-ai/joinly exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into live web pages and browser sessions without copy-pasting context every turn.

Requirements

This server needs the following environment variables to be set before it can run:

OPENAI_API_KEY
ELEVENLABS_API_KEY
DEEPGRAM_API_KEY

Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).

Common use cases

  • Navigate, fill forms, and scrape pages on demand from Claude
  • Test UI flows or capture screenshots as part of a debugging session
  • Reach data behind logins or interactive pages that simple HTTP fetch cannot