Most enterprises already have dozens (if not hundreds) of AWS Lambda functions powering business logic.
But hereβs the problem:
π How do you make those functions easily consumable by AI agents in a secure, standardized way?
Thatβs where Amazon Bedrock AgentCore Gateway + Model Context Protocol (MCP) come in.
Think of the Gateway as a universal adapter that lets your Lambda βspeak MCP,β so any agent can discover and call it as a tool.
ππ¦ππ³π¨π§ ππππ«π¨ππ€ ππ ππ§πππ¨π«π πππππ°ππ²
1οΈβ£ One-stop bridge for agents β Turn APIs, Lambda functions, or existing services into MCP-compatible tools with just a few lines of config.
2οΈβ£ Scale with security β Built-in ingress auth (who can call) + egress auth (how Gateway connects to backends).
3οΈβ£ Developer speed β No weeks of glue code or infra provisioning β Gateway handles it.
4οΈβ£ Broad support β Works with OpenAPI, Smithy, and Lambda as input types.
What I did in this example:
β Created a simple Lambda function (get_order, update_order) to simulate order lookups and updates.
β Used AgentCore Gateway to expose that Lambda as MCP tools.
β Configured Cognito for inbound OAuth2 authentication and an IAM role for outbound authorization.
β Connected with an MCP client to listTools and callTool, and got back real Lambda responses.
After wiring everything up, my MCP client returned:
π§ get_order_tool
π Action: Fetch order status
π¦ Result: { "orderId": "123", "status": "SHIPPED" }
π§ update_order_tool
π Action: Update order status
π¦ Result: { "orderId": "123", "status": "UPDATED" }
π» Want to try this example yourself?
Iβve published the full working code here:
π https://lnkd.in/gdrhHFDs
This is just the beginning β next, Iβll 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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