general MCP Server
Self-hosted S3 storage browser with cost intelligence, optimization recommendations, and AI-powered analytics. Works with AWS, MinIO, R2, Wasabi, and any S3-compatible endpoint.
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
(required)
`true`
Fernet (cryptography)
**(required)**
`24`
SQLite (WAL mode, FTS5, 64MB cache, 256MB mmap) per bucket
_(empty)_
Speed
Default
(auto-generated)
PyJWT, passlib (bcrypt), pyotp (TOTP), slowapi
`120`
Multi-stage Docker (node:20 + python:3.12)
(required)
`local`
`admin`
(auto-generated)
`/data`
Technology
React 18, Vite, @tanstack/react-virtual
Python 3.12, FastAPI, Uvicorn
Source
Go 1.24, Cobra, system keyring integration
Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.
Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.
Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.
Implementing AWS Security Hub to aggregate security findings across AWS accounts, enable compliance standards like CIS AWS Foundations and PCI DSS, configure automated remediation with EventBridge and Lambda, and create custom security insights for organizational risk management.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
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