OpenWorkspace-o1 S3 Model Context Protocol Server.
What is OpenWorkspace o1 aws ow s3 mcp
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_url
containing 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_url
containing the pre-signed URL
-
delete_object
- Delete an object from the bucket
- Input:
key
(string, required): Object key to delete
- Returns:
success
boolean 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.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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