AWS S3
AWS S3 MCP Server provides a bridge between AI assistants and Amazon S3 storage, enabling direct access to bucket contents through the Model Context Protocol. It offers tools for listing buckets, browsing objects, and retrieving file contents with automatic handling of different file types including PDF text extraction. Built with TypeScript and the AWS SDK, this implementation includes comprehensive testing, Docker-based development environment, and secure credential management - making it valuable for workflows that require AI assistants to access, analyze, or reference documents and data stored in S3 buckets.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/samuraikun/aws-s3-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve AWS S3 from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.