Build a meeting prep and follow-up assistant with Amazon Quick and Cisco Webex MCP servers

Build a meeting prep and follow-up assistant with Amazon Quick and Cisco Webex MCP servers

Build a meeting prep and follow-up assistant with Amazon Quick and Cisco Webex MCP servers

https://aws.amazon.com/blogs/machine-learning/build-a-meeting-prep-and-follow-up-assistant-with-amazon-quick-and-cisco-webex-mcp-servers/

Publish Date: 2026-06-12 10:49:00

Source Domain: aws.amazon.com

  • Unified Workflow: Amazon Quick and Cisco Webex MCP servers integrate to streamline meeting preparation and follow-ups into a single conversational workflow.

  • Automation Efficiency: The solution automates the gathering of meeting contexts from Webex Meetings, Vidcast, and Messaging; thus, reduces the time spent on searching and switching between various tools.

  • Custom Chat Agent: A custom meeting prep and follow-up assistant uses Amazon Quick to orchestrate actions and gather context from Webex Meetings, Vidcast, and Messaging MCP servers.

  • Use Cases:

    • Meeting Prep: The agent compiles necessary information from past meetings, Vidcast highlights, and Webex messaging into a prep brief before a meeting.
    • Follow-up: The assistant summarizes the meeting, extracts decisions and action items, and drafts a follow-up message for the Webex space post-meeting.
  • Security and Governance: Necessary steps are outlined to ensure the assistant follows least privilege, authenticated user permissions, write-action confirmations, and auditability.

  • Implementation Steps: The setup involves confirming Webex MCP access, creating Webex OAuth credentials, adding MCP integrations in Amazon Quick, reviewing and enabling MCP tools, creating a chat agent, and thorough testing of use cases.

  • Resource Cleanup: Instructions for deleting unnecessary resources to avoid ongoing access and configuration drift are provided.

  • Adaptation: Advice is given on adapting the solution for individual organizational needs, starting with read-only tools and gradually adding write permissions with security and governance considerations in place.

  • Authors’ Background: Brief professional backgrounds of the authors highlight their expertise in AI, agentic AI, no-code automation, orchestration, product management, and agentic interoperability.