AWS S3 MCP Server
Manage AWS S3 operations, providing secure access to S3 buckets through pre-signed URLs.
AWS S3 MCP Server
MCP Server for AWS S3 operations, providing secure access to S3 buckets through pre-signed URLs.
Tools
-
list_objects- List objects in an S3 bucket
- Input:
prefix(string, optional): Prefix filter for object keys
- Returns: Array of objects with keys, sizes, and last modified dates
-
get_object- Generate a pre-signed URL for accessing an object
- Inputs:
key(string, required): Object key to retrieveexpiry(number, optional): URL expiration time in seconds (default: 3600)
- Returns:
object_urlcontaining the pre-signed URL
-
put_object- Generate a pre-signed URL for uploading an object
- Inputs:
key(string, required): Object key to uploadexpiry(number, optional): URL expiration time in seconds (default: 3600)
- Returns:
upload_urlcontaining the pre-signed URL
-
delete_object- Delete an object from the bucket
- Input:
key(string, required): Object key to delete
- Returns:
successboolean indicating deletion status
Setup
Environment Variables
The server requires the following environment variables:
BUCKET_NAME: The name of your S3 bucket (required)REGION: AWS region (default: "ap-southeast-1")
AWS credentials should be configured using standard AWS credential configuration methods (environment variables, IAM roles, or AWS credentials file).
Usage with Claude Desktop
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"aws-ow-s3-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BUCKET_NAME",
"-e",
"REGION",
"-e",
"AWS_ACCESS_KEY_ID",
"-e",
"AWS_SECRET_ACCESS_KEY",
"mcp/aws-ow-s3-mcp"
],
"env": {
"BUCKET_NAME": "<YOUR_BUCKET_NAME>",
"REGION": "<AWS_REGION>",
"AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY>",
"AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_KEY>"
}
}
}
}
NPX Command
{
"mcpServers": {
"aws-ow-s3-mcp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-aws-ow-s3-mcp"
],
"env": {
"BUCKET_NAME": "<YOUR_BUCKET_NAME>",
"REGION": "<AWS_REGION>",
"AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY>",
"AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_KEY>"
}
}
}
}
Build
Docker build:
docker build -t mcp/aws-ow-s3-mcp-server .
Development
The server is built using:
- Node.js
- TypeScript
- @modelcontextprotocol/sdk
- @aws-sdk/client-s3
- @aws-sdk/s3-request-presigner
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
संबंधित सर्वर
VaultSage MCP
Give your AI agent persistent memory: upload, search, and chat over files stored in VaultSage — no install required, just sign in with Google and paste one token.
Qiniu MCP Server
Access Qiniu's cloud storage, intelligent multimedia services, and CDN operations via the Model Context Protocol.
mcp.gd
Persistent memory for AI agents. Store and retrieve files via 14 MCP tools with OAuth 2.0 auth. Free 10GB tier.
Dropbox MCP Server
An MCP server for interacting with Dropbox, allowing clients to manage files and folders.
Koneksi MCP Server (Go)
Provides AI assistants with access to Koneksi Storage for secure file storage and backup operations.
Pinata
Interact with Public and Private IPFS through Pinata's API. Requires a Pinata account and API key.
RAGStack-Lambda
Serverless document and media processing with AI chat.
Tencent Cloud COS MCP
Quickly integrate with Tencent Cloud Storage (COS) and Data Processing (CI) capabilities powered
The Drive AI
Interact with The Drive AI files directly from AI assistants like ChatGPT or Claude using the Model Context Protocol (MCP).
Google Drive MCP
Access and manage your Google Drive files and folders.