AWS Lambda

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An AI agent for AWS Lambda. It works in a scene with a live connection to AWS Lambda. It asks before it writes, and every run is traced.

Invoke AWS Lambda functions, inspect configurations, and manage event source mappings. Bridge your AI workflows to any custom backend logic running on Lambda.

Infrastructure Custom 2 asset types 5 tools

What you can connect

Add these to your scene and AI gets access.

Account Accounts

AWS credentials for Lambda access

Function Functions

A Lambda function

Tools

What the agent can do once this is connected.

Reads 4

See data. Nothing changes.

lambda_list_functions List all Lambda functions in the AWS account.

lambda_get_function Get detailed configuration for a Lambda function — runtime, memory, timeout, environment variables, layers, and code size..

lambda_list_event_source_mappings List event source mappings (triggers) for a Lambda function — SQS queues, DynamoDB streams, Kinesis, etc..

lambda_get_function_url Get the function URL configuration (if enabled).

Writes 1

Change data in the connected system.

lambda_invoke Invoke a Lambda function with a JSON payload.

Connect AWS Lambda over MCP

Daslab is itself an MCP server.

Connect AWS Lambda in a scene, then pin that scene's URL in Claude Code, Cursor, or any MCP client. The agent there gets your AWS Lambda tools, and your approval gate and trace travel with them.

https://daslab.run/mcp/<your-world>/<your-scene>

One scene can hold AWS Lambda and everything else you connect, so a single endpoint carries them all. Set up a client.

Use cases

Invoke custom backend functions from AI workflows
Inspect function configurations and event triggers
Test Lambda functions with custom payloads

Similar integrations

Others in Infrastructure.

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