ChatterBox MCP Server
[](https://mseep.ai/app/chatterboxio-chatterboxio-mcp-server)
# ChatterBox MCP Server
[](https://smithery.ai/server/@OverQuotaAI/chatterboxio-mcp-server)
A Model Context Protocol server implementation for ChatterBox, enabling AI agents to interact with online meetings and generate meeting summaries.
<a href="https://glama.ai/mcp/servers/@ChatterBoxIO/chatterboxio-mcp-server">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@ChatterBoxIO/chatterboxio-mcp-server/badge" alt="ChatterBox MCP Server" />
</a>
## 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](https://smithery.ai/server/@OverQuotaAI/chatterboxio-mcp-server):
```bash
npx -y @smithery/cli install @OverQuotaAI/chatterboxio-mcp-server --client claude
```
### Manual Installation
You can install the dependencies using either npm or pnpm:
```bash
# 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](https://chatter-box.io). After registration, you'll receive your API endpoint and key.
### Environment Setup
Create a `.env` file in the root directory with the following variables:
```env
CHATTERBOX_API_ENDPOINT=https://api.chatter-box.io
CHATTERBOX_API_KEY=your_api_key_here
```
## Usage
### Starting the Server
```bash
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
```bash
pnpm run build
```
### Debugging
To debug the MCP server using the MCP Inspector:
```bash
npx @modelcontextprotocol/inspector
```
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Support
For support, please visit [ChatterBox Documentation](https://chatter-box.io/documentation) or contact support@chatter-box.io.
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: getMeetingInfo retrieves meeting details, joinMeeting handles joining and recording, and summarizeMeeting processes transcripts. There is no overlap in functionality, making tool selection straightforward for an agent.
The tools follow a consistent verb_noun pattern (getMeetingInfo, joinMeeting, summarizeMeeting), with minor deviations in capitalization (camelCase). This consistency aids readability and predictability, though the mixed case style is a slight deviation from pure snake_case.
With only 3 tools, the server feels thin for a meeting management domain. While the tools cover core actions, additional operations like creating meetings, updating details, or managing participants are missing, suggesting the scope could be expanded for better utility.
There are significant gaps in the tool surface for meeting management. The server lacks create, update, or delete operations for meetings, and does not include tools for handling participants, scheduling, or notifications. This incompleteness will likely cause agent failures in broader workflows.