Distributed Load Testing on AWS
Distributed Load Testing on AWS automates performance testing at scale, demonstrating how systems behave under different load conditions and helping identify potential performance issues throughout their lifecycle.
What is Distributed Load Testing on AWS?
Distributed Load Testing on AWS is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to distributed load testing on aws automates performance testing at scale, demonstrating how systems behave under different load conditions and helping identify potential performance issues throughout th...
Distributed Load Testing on AWS automates performance testing at scale, demonstrating how systems behave under different load conditions and helping identify potential performance issues throughout their lifecycle.
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Distributed Load Testing on AWS automates performance testin
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx distributed-load-testing-on-awsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Distributed Load Testing on AWS
Distributed Load Testing on AWS is an AWS Solutions implementation that automates large-scale performance testing using Amazon ECS on Fargate, letting teams simulate thousands of concurrent users across multiple AWS regions without managing servers. It supports JMeter, K6, and Locust test scripts through the Taurus framework, and includes a React web console, REST API, and an optional MCP server integration via AWS AgentCore Gateway for AI-assisted analysis of test results. DevOps and QA teams use it to identify performance bottlenecks before production deployments by running scheduled or on-demand load tests at cloud scale.
Prerequisites
- An AWS account with permissions to deploy CloudFormation stacks and create IAM roles
- AWS CLI configured with appropriate credentials
- Node.js 24.x or later for local development builds
- Docker for building custom container images (optional)
Deploy via AWS CloudFormation
Launch the solution using the provided CloudFormation template. This provisions all infrastructure including ECS, API Gateway, Lambda, DynamoDB, S3, Cognito, and the optional MCP server.
# Open in AWS Console:
https://console.aws.amazon.com/cloudformation/home?region=us-east-1#/stacks/new?&templateURL=https://solutions-reference.s3.amazonaws.com/distributed-load-testing-on-aws/latest/distributed-load-testing-on-aws.templateComplete initial setup via email invite
After deployment, the stack sends an access invite to the administrator email address you specified. Use the link to set your password and access the web console.
Create your first load test
Log in to the CloudFront-hosted web console and create a test scenario. For simple HTTP testing, provide an endpoint URL. For advanced tests, upload a JMeter .jmx, K6 .js, or Locust .py script.
Enable the MCP server integration (optional)
During CloudFormation deployment, select the 'Enable MCP Server' option. This deploys an additional Lambda function accessible via AWS AgentCore Gateway for AI-assisted analysis.
Connect an MCP client to the AgentCore Gateway endpoint
After deploying the MCP server option, configure your AI client to connect to the AgentCore Gateway endpoint URL with your Cognito authentication token.
{
"mcpServers": {
"distributed-load-testing-on-aws": {
"command": "npx",
"args": ["distributed-load-testing-on-aws"],
"env": {
"AWS_REGION": "us-east-1"
}
}
}
}Run tests via CLI for CI/CD integration
Use the TypeScript CLI for headless/CI operation. It supports browser OAuth, SRP headless, and IAM authentication modes.
# From source/cli directory
npm install
npm run build
# Then use the CLI to manage tests
./bin/dlt-cli tests listDistributed Load Testing on AWS Examples
Client configuration
Claude Desktop MCP configuration for the Distributed Load Testing on AWS MCP server.
{
"mcpServers": {
"distributed-load-testing-on-aws": {
"command": "npx",
"args": ["distributed-load-testing-on-aws"],
"env": {
"AWS_REGION": "us-east-1",
"AWS_ACCESS_KEY_ID": "your-key-id",
"AWS_SECRET_ACCESS_KEY": "your-secret"
}
}
}
}Prompts to try
AI-assisted prompts for analyzing load test results through the MCP server.
- "Show me the results from the last 5 load tests and identify any regressions"
- "Which endpoints had the highest error rates in yesterday's performance test?"
- "Compare the p95 response times between the baseline and latest test run"
- "Schedule a load test to run every Monday at 2am with 1000 concurrent users"Troubleshooting Distributed Load Testing on AWS
CloudFormation stack deployment fails with IAM permissions error
Ensure your AWS account has permissions to create IAM roles. The stack requires CloudFormation to have CAPABILITY_IAM and CAPABILITY_NAMED_IAM. Add these capabilities when deploying via CLI: aws cloudformation create-stack --capabilities CAPABILITY_IAM CAPABILITY_NAMED_IAM.
No invitation email received after stack deployment
Check your spam folder. The invite comes from Amazon Cognito via SES. If SES is in sandbox mode in your region, you may need to verify the admin email address first in the SES console.
ECS tasks fail to start for load tests in a secondary region
Multi-region testing requires deploying the regional template in each target region. Download and deploy the regional CloudFormation template (distributed-load-testing-on-aws-regional.template) into every additional region you want to test from.
Frequently Asked Questions about Distributed Load Testing on AWS
What is Distributed Load Testing on AWS?
Distributed Load Testing on AWS is a Model Context Protocol (MCP) server that distributed load testing on aws automates performance testing at scale, demonstrating how systems behave under different load conditions and helping identify potential performance issues throughout their lifecycle. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Distributed Load Testing on AWS?
Follow the installation instructions on the Distributed Load Testing on AWS GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Distributed Load Testing on AWS?
Distributed Load Testing on AWS works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Distributed Load Testing on AWS free to use?
Yes, Distributed Load Testing on AWS is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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