AWS Knowledge Base
The AWS Knowledge Base Retrieval MCP Server enables AI assistants to access information from AWS Knowledge Bases using the Bedrock Agent Runtime. Built with TypeScript, it provides a retrieve_from_aws_kb tool that performs RAG (Retrieval-Augmented Generation) operations, returning both raw context and structured metadata about the sources. The server supports multiple authentication methods including IAM Access Keys and AWS SSO, can be configured with default Knowledge Base IDs, and returns results in a format optimized for AI consumption with separate content items for context and source metadata. This implementation is particularly valuable for organizations that maintain AWS Knowledge Bases and want to incorporate that information into their AI assistant workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
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/sammcj/mcp-aws-kb
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve AWS Knowledge Base 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.