Lambda Resource Optimizer

Lambda Resource Optimizer MCP Connector for Claude

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Deterministic AWS Lambda memory, CPU, and concurrency optimization engine.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides precise resource estimation for AWS Lambda functions. It calculates ideal memory and CPU allocation based on code size, estimates cold start latency, and determines concurrency requirements to ensure your functions stay within regional quotas. Use calculate_resource_optimization to find the best memory tier, estimate_concurrency_requirements to plan for peak loads, and validate_lambda_constraints to prevent AWS service limit violations.

awslambdaserverlessresource-managementdevops-tools

3 tools expose this connector's capabilities to your AI agent.

estimate_concurrency_requirements

calculate_resource_optimization

validate_lambda_constraints

See how to talk to your AI agent using Lambda Resource Optimizer.

Calculate the optimal resources for a 50 MB zipped Lambda function with 1000 daily invocations.

For a 50 MB code size, the minimum required memory is 450 MB. Since memory must be in 64 MB increments, the recommended allocation is 448 MB or 512 MB depending on the specific tier. At 512 MB, you will receive approximately 0.29 vCPUs.

Will a Lambda function with 12000 MB of memory be valid?

No, the configuration is invalid because the memory allocation exceeds the maximum allowed limit of 10240 MB.

Estimate the concurrency needed for a function that runs 5000 times a day with an average duration of 10 seconds.

The peak concurrency required for this function is approximately 1.

The minimum required memory is calculated as three times the zipped code size plus a fixed 300 MB overhead.

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