If you're developing on the cutting edge of AI agents and want to build functionality for online meetings—like Zoom, Google Meet, or Teams - we've released the infrastructure to make it possible. The Model Context Protocol (MCP) server is a standardized interface that lets AI agents join, observe, and interact with live meetings. With MCP, you can build applications that understand the meeting context and act intelligently within it.

The MCP server provides a consistent interface for AI agents to:

• Join meetings as participants
• Access transcripts and recordings
• Generate meeting summaries

This infrastructure standardizes how AI systems interact with meetings across different platforms. Instead of building custom integrations for each platform, developers can use a single protocol to build meeting-aware applications.

Getting Started with the ChatterBox MCP Server

The ChatterBox Model Context Protocol (MCP) is ready to help you integrate real-time AI capabilities into your meetings. You have two easy ways to install and set up the MCP Server:

• Install via Smithery – For a streamlined setup process, you can use Smithery, which simplifies the configuration of the MCP server on your local environment or cloud.
• Manual Installation – If you prefer more control over your setup or need to customize the installation, you can manually install the MCP Server by following instructions in our GitHub repository. This guide walks you through the prerequisites, installation steps, and how to configure your environment for the best performance.

Once installed, you'll have full access to the ChatterBox MCP Server, enabling you to build custom integrations, automation, and AI-powered applications for online meetings.

How Engineers are Using the ChatterBox MCP Server to Power AI Agent Workflows via Online Meetings

The ChatterBox Model MCP server unlocks powerful new use cases for AI meeting agents by enabling real-time interaction with platforms like Zoom and Google Meet. Whether you're building for sales, support, legal, or engineering teams, MCP gives your AI the ability to join live meetings, understand conversations, and take intelligent action—automating workflows, improving productivity, and capturing knowledge across your organization.Here are high-impact use cases across different domains we've seen coming to life:

Sales and Customer Success

• Deal Intelligence Agent – Join sales calls to analyze conversations in real time, detect buying signals and objections, then log discovery notes, auto-update CRM fields in Salesforce or HubSpot, and generate tailored next-step recommendations for the rep right after the meeting.
• Customer Success Bot – Track customer sentiment, feature requests, and pain points during support or QBR calls, then auto-log key feedback in tools like Gainsight or Zendesk, and create follow-up tasks for product or support teams to address urgent issues.
• Automated Follow-Up System – After each meeting, generate and send personalized follow-up emails with relevant summaries, attachments, or call-to-action links—fully integrated with Gmail, Outlook, or customer engagement platforms like Customer.io or Outreach.

Professional Services

• Consulting Assistant – Join client-facing meetings to capture key insights and decisions, then automatically draft client deliverables, generate custom proposals, or create tailored presentation decks using the meeting context and shared assets.
• Legal Compliance Bot – Monitor discussions for regulatory language or risky terms, then flag issues, draft preliminary compliance reports, or generate policy updates aligned with legal frameworks.
• Project Management Agent – Parse meeting content to update project timelines, reassign tasks, and automatically log status updates in tools like Asana, Trello, or Jira—keeping all stakeholders aligned without manual follow-up.

Development and Engineering Teams

• Sprint Planning Assistant – Automatically capture decisions made during sprint planning or standups and update Jira tickets, backlog items, and assignee responsibilities in real time—no manual notes required.
• Architecture Meeting Companion – Join technical design discussions, extract architecture decisions, and generate auto-formatted Confluence pages or technical design docs.
• Knowledge Management Agent – Index key points from engineering meetings, tag them by topic, and make them searchable for future reference—integrating with tools like Notion, Slack, or internal wikis to ensure tribal knowledge is never lost.

Research and Customer Development

• User Research Assistant – Join user interviews to capture verbatim quotes, identify patterns across sessions, and generate structured insight reports or product requirement docs in tools like Airtable, Productboard, or Notion—automatically tagging themes, pain points, and feature requests.
• Market Research Bot – Monitor and analyze competitor mentions, industry trends, and customer feedback during meetings or webinars, then create competitor profiles, market maps, or SWOT analyses using Google Slides, Miro, or Notion.
• Data Science Agent – Sit in on planning and stakeholder meetings to extract project goals, constraints, and success metrics, then generate technical briefs, update project trackers, or pre-fill experiment templates in tools like Jupyter, Confluence, or Monday.com.

Operations and Compliance

• Audit Trail Generator – Capture key decisions and action items during meetings, then automatically document and timestamp them in tools like Evernote or Notion, creating a structured audit trail that's easy to reference for compliance or internal reporting.
• Compliance Monitor – Continuously analyze meeting discussions for regulatory language and policy adherence, flagging risks and creating compliance documentation in real time, integrated with tools like Smartsheet, RiskWatch, or VComply.
• Quality Assurance Bot – Monitor team discussions for process adherence, then auto-generate QA reports, track deviations, and update quality control checklists in platforms like Wrike, ClickUp, or Airtable, ensuring teams are consistently meeting quality standards.

How We Support Engineers Building with the ChatterBox MCP Server

We're committed to helping you bring your meeting-aware applications to life with the ChatterBox MCP server. Whether you're building intelligent sales tools, automating compliance workflows, or enhancing customer success, we're here to support your development journey every step of the way. With powerful integrations, seamless scalability, and a protocol designed to handle real-time meeting data, you can focus on building—while we handle the heavy lifting. Let's transform how meetings are experienced and make AI-powered productivity a reality.

Community Support

• Join our Discord community to connect with other developers
• Share your ideas and get feedback on GitHub Discussions
• Contribute to the project and help shape its future

Direct Support

• Schedule a quick call to discuss your use case
• Get help with implementation and best practices
• Share your feedback and feature requests

We're excited to see what you'll build with the MCP server. Let us know how we can help you succeed!