What transports does the server support?
The server supports STDIO, HTTP, and Streamable HTTP transports. HTTP is the default transport; STDIO is required for Claude Desktop integration.
@samuraikun
Basic information
Category
Files & Storage
Last updated
License
MIT
Transports
stdio
Author
samuraikun
Submitted by
Yuichi Kojima
MCP server to integrate AWS S3 and LLM
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"aws-s3-mcp": {
"command": "npx",
"args": [
"aws-s3-mcp"
]
}
}
}List available S3 buckets
List objects in an S3 bucket
Retrieve an object from an S3 bucket
An Amazon S3 Model Context Protocol (MCP) server that provides tools for LLMs like Claude to interact with S3 buckets and objects. It supports listing buckets, listing objects, and retrieving object contents.
Install via npm (npm install -g aws-s3-mcp), configure AWS credentials and environment variables such as AWS_REGION, S3_BUCKETS, and S3_MAX_BUCKETS, then run with HTTP transport (default) or STDIO transport. For Claude Desktop, run the server with the --stdio flag and add it to the Claude Desktop configuration.
The server supports STDIO, HTTP, and Streamable HTTP transports. HTTP is the default transport; STDIO is required for Claude Desktop integration.
Set environment variables `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and `AWS_REGION`, or rely on the default AWS credentials file. A `.env` file can also be used.
Node.js 18 or higher, npm, and AWS credentials. Docker is optional for containerized setups.
Use Docker Compose with MinIO: run `./run-inspector.sh --docker-compose` to start a MinIO instance with sample buckets and objects.
The server returns up to 5 buckets by default, configurable via the `S3_MAX_BUCKETS` environment variable.
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