This MCP server provides tools for seamless interaction with AWS S3 buckets, including listing all buckets and specific operations, through the Model Context Protocol, streamlining cloud storage management.
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Feb 22 2025
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What is s3-tools MCP Server?
The s3-tools MCP Server enables users to interact directly with AWS S3 storage buckets via a protocol-driven interface. It currently offers a key tool, 'list-s3-buckets', which lists all S3 buckets associated with an AWS account, optionally filtered by region. The server requires AWS credentials configured through CLI, environment variables, or IAM roles. It simplifies cloud storage management by integrating bucket operations into applications or workflows, facilitating automation and easier administration of cloud data. Designed for developers and DevOps teams, it supports both installation via PyPI and source code, with detailed setup instructions, including credential management and server configuration. The server is built with Python 3.13+, emphasizes security via AWS best practices, and can be used for automated storage audits, resource management, or integration into larger cloud workflows.
Who will use s3-tools MCP Server?
- Developers
- Cloud administrators
- DevOps teams
- Backend engineers
- Data engineers
How to use the s3-tools MCP Server?
- Step 1: Install the MCP Server using pip or from source.
- Step 2: Configure AWS credentials via CLI, environment variables, or IAM role.
- Step 3: Add the server configuration to your client application or workflow.
- Step 4: Use the 'list-s3-buckets' tool through the Model Context Protocol to retrieve bucket information.
- Step 5: Automate and integrate bucket management tasks into your deployment or monitoring pipelines.
s3-tools MCP Server's Core Features & Benefits
The Core Features
- list-s3-buckets
The Benefits
- Simplifies cloud storage management
- Automates bucket listing and resource management
- Integrates with existing workflows via protocols
- Supports multi-region AWS accounts
s3-tools MCP Server's Main Use Cases & Applications
- Automated storage auditing for AWS S3 buckets
- Integrating S3 bucket management into CI/CD pipelines
- Monitoring and reporting cloud storage usage
- Simplifying cloud resource administration for development teams
FAQs of s3-tools MCP Server
Developer
- sofianhamiti