LocalStack MCP

Name: LocalStack MCP
Author: LocalStack

Manage local AWS development environments

Official

Cloud & DevOps

Install Command

npx -y @localstack/mcp-server

Claude Desktop Config

{
  "mcpServers": {
    "localstack": {
      "command": "npx",
      "args": ["-y", "@localstack/mcp-server"]
    }
  }
}

LocalStack MCP is an officially maintained MCP server in the Cloud & DevOps category, developed by LocalStack. It runs locally on your machine, keeping your data private and giving you full control over the connection. Adding it to your setup expands what Claude can do without any extra coding.

About LocalStack MCP

LocalStack MCP server enables AI assistants to manage local AWS development environments using LocalStack.

Features

Manage S3, Lambda, DynamoDB, and 50+ AWS services locally
Create and manage resources via natural language
Run and test AWS code without cloud costs
View resource states and logs
CI/CD integration support

Who Should Use LocalStack MCP?

1Extend Claude and other AI assistants with new capabilities
2Automate tasks that previously required manual steps
3Connect your existing tools to an AI workflow
4Reduce repetitive work by letting AI interact with your services

How to Install LocalStack MCP

Before you start

You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.

1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
2Paste the install command above and press Enter — Node.js will download and run the server automatically.
3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.

The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.

How LocalStack MCP Compares

✦It is an officially maintained server — unlike community alternatives, it is built and supported by the original project team, ensuring compatibility with upstream changes.

✦It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.