MCP S3 Server
v1.0.0Community
Community-maintained MCP server for AWS S3 storage operations. Enables AI models to upload, download, list, and manage objects in S3 buckets. Includes support for multipart uploads, object metadata, and bucket operations. Essential for AI-powered cloud storage management and data pipeline workflows.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
Upload success rate testing
Download speed testing
Large file transfer testing
Listing performance testing
Error handling testing
🛡️Security+
Authentication mechanism review
Credential security analysis
Policy enforcement testing
Destructive operation testing
Access control testing
Audit logging review
🔒Privacy & Compliance+
Data flow analysis
Metadata privacy assessment
Structure privacy assessment
Data sharing analysis
Encryption support assessment
👁️Trust & Transparency+
Documentation completeness review
Logging and traceability assessment
Source code review
API documentation review
⚙️Operational Excellence+
Setup complexity assessment
Performance benchmarking
Reliability analysis
Feature coverage assessment
Community support assessment
- +Built on highly reliable AWS S3 with 99.999999999% durability
- +Comprehensive S3 operations (upload, download, list, delete, metadata)
- +Excellent for cloud storage automation and data pipelines
- +Full operation auditability through CloudTrail
- +Open source community implementation
- +Supports multipart uploads for large files up to 5TB
- !Downloaded object content and metadata exposed to LLM provider
- !AI can delete objects and modify ACLs within IAM permissions
- !AWS access keys and credentials accessible to AI
- !Object metadata and bucket structure may reveal sensitive information
- !Can make objects public if IAM permissions allow
- !Encrypted data decrypted before transmission to LLM provider
Use Case Ratings
code generation
Good for generating S3 integration code and storage workflows
customer support
Useful for managing customer file uploads and support attachments
content creation
Good for managing media assets and content delivery
data analysis
Excellent for data pipeline automation and ETL workflows
research assistant
Useful for managing research data and document archives
legal compliance
Risk of exposing confidential documents; requires strict IAM controls
healthcare
Risk of exposing PHI in stored files; requires careful controls
financial analysis
Moderate risk for financial document storage
education
Excellent for teaching cloud storage and data pipeline concepts
creative writing
Good for managing writing projects and manuscript storage