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ChatterBox

ChatterBox MCP server by Alex Tsimbalistov enables AI agents to join and interact with online meetings across Zoom, Google Meet, and Microsoft Teams platforms through the ChatterBox API. The implementation provides three core tools: joinMeeting for deploying bots to capture meeting transcripts and recordings with configurable bot names and webhook notifications, getMeetingInfo for retrieving session data including timestamps and formatted transcripts, and summarizeMeeting for generating structured meeting summaries from transcript data. Built with TypeScript and the MCP SDK, it integrates with ChatterBox's meeting bot service to provide programmatic access to meeting participation and analysis capabilities, serving teams building AI-powered meeting assistants, organizations requiring automated meeting documentation, and developers creating workflow automation around video conference interactions.

Cognium trust score

98%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/chatterboxio/chatterboxio-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve ChatterBox from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"