AWS SDK
AWS-MCP is a server implementation that enables AI assistants to interact directly with AWS services through the AWS SDK v2. It provides tools for running AWS code, listing available credentials/profiles, and selecting profiles for authentication (including SSO support). The server handles credential management, executes JavaScript code in a sandboxed environment, and returns formatted results from AWS API calls. This implementation is particularly valuable for users who need to query their AWS environment, manage resources, or analyze cloud infrastructure without leaving their AI assistant conversation.
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/ihatesea69/aws-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve AWS SDK 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.