Most enterprises already have dozens (if not hundreds) of AWS Lambda functions powering business logic.
But hereโs the problem:
๐ How do you make those functions easily consumable by AI agents in a secure, standardized way?
Thatโs where Amazon Bedrock AgentCore Gateway + Model Context Protocol (MCP) come in.
Think of the Gateway as a universal adapter that lets your Lambda โspeak MCP,โ so any agent can discover and call it as a tool.
๐๐ฆ๐๐ณ๐จ๐ง ๐๐๐๐ซ๐จ๐๐ค ๐๐ ๐๐ง๐ญ๐๐จ๐ซ๐ ๐๐๐ญ๐๐ฐ๐๐ฒ
1๏ธโฃ One-stop bridge for agents โ Turn APIs, Lambda functions, or existing services into MCP-compatible tools with just a few lines of config.
2๏ธโฃ Scale with security โ Built-in ingress auth (who can call) + egress auth (how Gateway connects to backends).
3๏ธโฃ Developer speed โ No weeks of glue code or infra provisioning โ Gateway handles it.
4๏ธโฃ Broad support โ Works with OpenAPI, Smithy, and Lambda as input types.
What I did in this example:
โ Created a simple Lambda function (get_order, update_order) to simulate order lookups and updates.
โ Used AgentCore Gateway to expose that Lambda as MCP tools.
โ Configured Cognito for inbound OAuth2 authentication and an IAM role for outbound authorization.
โ Connected with an MCP client to listTools and callTool, and got back real Lambda responses.
After wiring everything up, my MCP client returned:
๐ง get_order_tool
๐ Action: Fetch order status
๐ฆ Result: { "orderId": "123", "status": "SHIPPED" }
๐ง update_order_tool
๐ Action: Update order status
๐ฆ Result: { "orderId": "123", "status": "UPDATED" }
๐ป Want to try this example yourself?
Iโve published the full working code here:
๐ https://lnkd.in/gdrhHFDs
This is just the beginning โ next, Iโll explore exposing APIs (OpenAPI/Smithy) and chaining multiple tools together for richer agent workflows.
Reference: Learn More About AgentCore Gateway
To get a deeper understanding of how Amazon Bedrock AgentCore Gateway simplifies tool integration for AI agents, check out the official docs:
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