S3 Tools
This MCP server implementation provides tools for interacting with AWS S3 buckets, enabling AI assistants to perform S3 operations through the Model Context Protocol. Developed by sofianhamiti, it currently offers a tool for listing S3 buckets with optional region specification. Built using Python and leveraging the boto3 library, the server focuses on secure AWS credential management and supports easy installation via PyPI or from source. It is particularly useful for applications requiring cloud storage management, such as file organization, backup solutions, or content delivery systems. The implementation is designed to be extensible, allowing for future addition of more S3-related tools and operations.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · 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/sofianhamiti/mcp-server-s3
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve S3 Tools 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.