How to Connect Amazon Quick with MCP (Model Context Protocol) – Integrate External Tools & Systems

Amazon Quick is AWS’s agentic AI-powered digital workspace. One of its most powerful features is the ability to connect to external tools and systems using MCP (Model Context Protocol), allowing AI agents to perform real actions — not just generate answers.

What is MCP?

Model Context Protocol (MCP) is an open standard that enables AI agents to securely discover, connect to, and interact with external tools, APIs, and applications. Amazon Quick has a built-in MCP integration, making it easy to integrate with enterprise systems.

Recommended Architecture

The most common and recommended pattern is:

• Amazon Quick → MCP Client → AgentCore Gateway → Your Tools/APIs

AgentCore Gateway acts as a secure, unified bridge that exposes your internal APIs and Lambda functions as MCP-compatible tools.

Step-by-Step: How to Connect Amazon Quick with MCP

1. Prepare Your Tools

• Create a Zoom, Jira, Salesforce, or custom API integration.
• (Recommended) Use Amazon Bedrock AgentCore Gateway to front your APIs.

2. Add MCP Integration in Amazon Quick

1. Go to Amazon Quick Console → Integrations → Add Integration
2. Select Model Context Protocol (MCP)
3. Enter:
   • Integration Name
   • MCP Server URL (from AgentCore Gateway)
   • Authentication method (OAuth 2.0, IAM, API Key, etc.)

3. Tool Discovery

Once connected, Quick automatically discovers all available tools. Your custom agents and Quick Flows can now use these tools.

4. Use in Agents & Flows

Example prompts:

• “Create a Jira ticket for this issue and notify the team in Slack”
• “Get the latest sales numbers from Salesforce and update the dashboard”

5. Real-World Example

User:

“Show me Q4 sales performance, research competitors, and create a summary report in Confluence.”

Quick Agent:

• Queries data via Quick Sight
• Researches competitors using Quick Research
• Creates a Confluence page using MCP integration

Time saved: From 3 hours → 5 minutes.

Key Benefits of MCP Integration in Quick

• Agents can take real actions across systems.
• Secure, governed, and auditable.
• Reusable across Quick, Bedrock Agents, and other AI applications.
• Supports both pre-built (Jira, Asana, PagerDuty, etc.) and custom tools.

Pricing Note

Amazon Quick offers flexible subscription plans for every stage of your journey - from individuals exploring AI-powered productivity to enterprises that need full governance, custom dashboards, and certified assets at scale.

• Professional Tier ($20/user/month):
• Enterprise Tier ($40/user/month):

Useful References:

• Amazon Quick Documentation – MCP Integration