AWS
This AWS MCP server, developed by an unknown author, provides a bridge between AI assistants and AWS services using the AWS SDK v2. It implements credential management, profile selection, and region configuration to enable secure access to AWS resources. The server exposes tools for executing AWS-related code, listing available credentials, and selecting profiles. By abstracting AWS SDK interactions into a standardized MCP interface, it allows AI systems to perform a wide range of AWS operations, from basic resource management to complex data analysis. This implementation is particularly useful for scenarios requiring programmatic AWS access, cloud infrastructure management, or data processing using AWS services, facilitating use cases such as automated deployments, resource monitoring, and large-scale data analytics in the AWS ecosystem.
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/rafalwilinski/aws-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve AWS 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.