Amazon S3
MCP-Server-S3 provides a bridge to Amazon S3 storage services, enabling AI assistants to perform common S3 operations through a standardized interface. The implementation offers seven specialized tools for listing buckets, browsing objects, retrieving file contents, uploading and downloading files, and deleting objects. Built with Python 3.13 using the boto3 library, it authenticates with AWS credentials through environment variables and runs as a FastMCP server. This tool is particularly valuable for developers and data engineers who need to interact with cloud storage directly through AI assistants without switching to separate AWS management interfaces.
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/c4pt0r/mcp-server-s3
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Amazon 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.