AWS Resource Manager
This MCP server, developed by Rishika Vikondala, enables AI assistants like Claude to interact with AWS resources, specifically S3 and DynamoDB services. It provides tools for common operations such as creating/deleting S3 buckets, uploading/downloading objects, and performing CRUD operations on DynamoDB tables and items. The server integrates with the AWS SDK and automatically logs all operations, making them accessible through an audit endpoint. By bridging AI capabilities with AWS infrastructure management, this implementation facilitates easier cloud resource manipulation and monitoring. It is particularly useful for DevOps teams automating AWS workflows, developers needing quick access to cloud resources, or system administrators performing routine maintenance tasks through AI-assisted interactions.
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/rishikavikondala/mcp-server-aws
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve AWS Resource Manager 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.