localstack/localstack-mcp-server
by Various
MCP Server for LocalStack
MCP
localstack/localstack-mcp-server
Added 1 June 2026
Overview
An MCP server that exposes LocalStack's AWS emulation as tools for AI assistants. It allows AI agents to interact with local AWS services via the Model Context Protocol.
Best for
Best for
Developers who want AI assistants to directly control a local AWS emulator for testing or prototyping.
Use cases
- Letting an AI assistant create and manage local S3 buckets or DynamoDB tables during development.
- Automating infrastructure testing by having an AI spin up local AWS resources on demand.
- Integrating AI-driven workflows with a local cloud sandbox for rapid prototyping.
How to use
Install
npx -y @localstack/localstack-mcp-server init Tools exposed
infrastructure-testerMAIN_CONTAINER_NAMEMCP_ANALYTICS_DISABLEDAPP_INSPECTOR
Tested with
Claude Desktop, Claude Code, Cursor, VS Code
Notes
An MCP server that exposes LocalStack’s AWS emulation as tools for AI assistants. It allows AI agents to interact with local AWS services via the Model Context Protocol.
23 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Letting an AI assistant create and manage local S3 buckets or DynamoDB tables during development.
- Automating infrastructure testing by having an AI spin up local AWS resources on demand.
- Integrating AI-driven workflows with a local cloud sandbox for rapid prototyping.
Pros
- Enables direct AI interaction with LocalStack without custom glue code.
- Leverages the MCP standard, making it compatible with multiple AI frontends.
- Lightweight and focused on a single, well-defined integration.
Cons
- Low community adoption (23 stars) may mean limited testing and support.
- Requires LocalStack to be running and configured separately.
- TypeScript-only, which may not fit all toolchain preferences.
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Enables direct AI interaction with LocalStack without custom glue code.
- Leverages the MCP standard, making it compatible with multiple AI frontends.
- Lightweight and focused on a single, well-defined integration.
Cons
- Low community adoption (23 stars) may mean limited testing and support.
- Requires LocalStack to be running and configured separately.
- TypeScript-only, which may not fit all toolchain preferences.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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