AWS S3 MCP Server
About
An MCP server for managing files and buckets on AWS S3. Requires AWS credentials for authentication.
Details
- Author
- gangadharrr
- Categories
- File Management, Other
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1. Install via npx (no installation needed)
{ "mcpServers": { "aws-s3": { "command": "npx", "args": ](https://modelcontextprotocol.io)["@gangadharrr/aws-s3"], "env": { "AWS_REGION": "us-east-1", "AWS_ACCESS_KEY_ID": "your-access-key-id", "AWS_SECRET_ACCESS_KEY": "your-secret-access-key" }, "autoApprove": ["list_buckets", "list_objects", "get_bucket_policy"] } } }
Add this to your MCP client config file:
- Claude Desktop:~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor:.cursor/mcp.jsonin your project root
An MCP server for managing files and buckets on AWS S3. Requires AWS credentials for authentication.
When building AI agent pipelines, you often need agents to read from or write to S3 — whether that's fetching documents for RAG, persisting outputs, or managing files dynamically. This MCP server bridges that gap by exposing S3 operations as MCP tools, so any MCP-compatible AI client can interact with S3 without custom integration work.
- Node.js 18+
- AWS account with S3 access
- AWS credentials (Access Key ID + Secret, or IAM role)
- An MCP-compatible client (Claude Desktop, Cursor, etc.)
1. Install via npx (no installation needed)
{ "mcpServers": { "aws-s3": { "command": "npx", "args": ["@gangadharrr/aws-s3"], "env": { "AWS_REGION": "us-east-1", "AWS_ACCESS_KEY_ID": "your-access-key-id", "AWS_SECRET_ACCESS_KEY": "your-secret-access-key" }, "autoApprove": ["list_buckets", "list_objects", "get_bucket_policy"] } } }
Add this to your MCP client config file:
- Claude Desktop:~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor:.cursor/mcp.jsonin your project root
2. Using AWS CLI credentials (recommended for local dev)
If you've already configured the AWS CLI (aws configure), you can omit the key env vars:
{ "mcpServers": { "aws-s3": { "command": "npx", "args": ["@gangadharrr/aws-s3"], "env": { "AWS_REGION": "us-east-1" } } } }
Lists all S3 buckets in the AWS account.
{ "success": true, "buckets": [ { "name": "my-bucket", "creationDate": "2023-01-15T00:00:00.000Z" } ], "count": 1 }
{ "success": true, "bucketName": "my-new-bucket", "location": "http://my-new-bucket.s3.amazonaws.com/" }
Lists objects in a bucket with optional prefix filtering.
The server uses the AWS SDK credential resolution chain in this order:
- Environment variables—AWS_ACCESS_KEY_ID+AWS_SECRET_ACCESS_KEY
- Shared credentials file—~/.aws/credentials(configured viaaws configure)
- EC2 Instance Metadata— if running on an EC2 instance with an IAM role
For production, IAM roles are recommended over static credentials.
Contributions are welcome! If you'd like to add a new S3 operation or improve existing ones:
- Fork the repository
- Create a feature branch:git checkout -b feature/my-new-tool
- Commit your changes:git commit -m 'Add: new S3 tool'
- Push and open a Pull Request
Built with theMCP TypeScript SDKandAWS SDK v3.
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