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ChatterBox MCP Server

ChatterBox MCP Server

Local
github.com/OverQuotaAICommunication10Updated 67w ago

About ChatterBox MCP Server

ChatterBox MCP Server lets AI agents join online meetings, retrieve transcripts and recordings, and create summaries. It supports Zoom, Google Meet, and Microsoft Teams meeting workflows.

Key features

  1. 01Join online meetings
  2. 02Capture transcripts and audio recordings
  3. 03Retrieve meeting details
  4. 04Summarize transcripts

Use cases

  1. 01Collect a meeting transcript and recording
  2. 02Review details from a meeting session
  3. 03Generate a concise meeting recap

MCP support

It exposes meeting-joining, meeting-information, and transcript-summarization tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"chatterboxio": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MseeP.ai Security Assessment Badge

ChatterBox MCP Server

smithery badge

A Model Context Protocol server implementation for ChatterBox, enabling AI agents to interact with online meetings and generate meeting summaries.

ChatterBox MCP Server

Overview

The ChatterBox MCP Server provides tools for AI agents to:

  • Join online meetings (Zoom, Google Meet, or Microsoft Teams)
  • Capture transcripts and recordings
  • Generate meeting summaries

Installation

Installing via Smithery

To install chatterboxio-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @OverQuotaAI/chatterboxio-mcp-server --client claude
Manual Installation

You can install the dependencies using either npm or pnpm:

# Using npm
npm install

# Using pnpm
pnpm install

Configuration

Getting API Keys

You can get your API keys for free by registering on our website at ChatterBox. After registration, you'll receive your API endpoint and key.

Environment Setup

Create a .env file in the root directory with the following variables:

CHATTERBOX_API_ENDPOINT=https://api.chatter-box.io
CHATTERBOX_API_KEY=your_api_key_here

Usage

Starting the Server
pnpm start
Available Tools
joinMeeting

Join a Zoom or Google Meet meeting and capture transcript and audio recording.

Parameters:

  • platform (string): The online conference platform ("zoom", "googlemeet", or "teams")
  • meetingId (string): The ID of the meeting
  • meetingPassword (string, optional): The password or the passcode for the meeting
  • botName (string): The name of the bot
  • webhookUrl (string, optional): URL to receive webhook events for meeting status
getMeetingInfo

Get information about a meeting, including transcript and recording.

Parameters:

  • sessionId (string): The session ID to get information for
summarizeMeeting

Generate a concise summary of a meeting's contents from its transcript.

Parameters:

  • transcript (string): The meeting transcript to summarize

Development

Prerequisites
  • Node.js 16+
  • npm or yarn
Building
pnpm run build
Debugging

To debug the MCP server using the MCP Inspector:

npx @modelcontextprotocol/inspector

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For support, please visit ChatterBox Documentation or contact [email protected].

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.