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Simulate cloud services locally for faster development and testing workflows.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.localstack/localstack-mcp-server" MCP server from askskill: Run: claude mcp add 'io-github-localstack-localstack-mcp-server' -- npx -y @localstack/localstack-mcp-server
Use the LocalStack MCP tool to start a local AWS simulation environment with S3 and SQS, then tell me the available endpoints and initialization status.
A summary of started local cloud services, access endpoints, and environment status.
Using LocalStack MCP, prepare local test dependencies for my app by simulating DynamoDB and Lambda, and list the configuration checks needed before running integration tests.
Prepared test environment details and a checklist of key configuration items for integration testing.
Use LocalStack MCP to inspect my local cloud development environment, identify common issues like startup failures, port conflicts, or unready services, and suggest fixes.
An environment diagnostic report with detected issues and recommended fixes.
Let AI read, write, search files, and run local commands.
Safely inspect and modify local Git repositories with profile-based access control.
Expose local files, shell, network, and databases to MCP-compatible AI clients.
Deploy a lightweight JSON-RPC MCP tool service on AWS quickly.
Run Llama models locally for private, offline AI assistance.
Securely access local files for reading, writing, and directory management.