AWS Bedrock: Knowledge Base
This AWS Knowledge Base Retrieval MCP server, developed by the Model Context Protocol team, enables AI assistants to access information from AWS Knowledge Bases using the Bedrock Agent Runtime. It provides a tool for performing retrieval-augmented generation (RAG) operations, allowing queries against specified knowledge bases and retrieval of multiple results. The server integrates seamlessly with AWS services, requiring proper AWS credentials configuration. By connecting AI capabilities with AWS knowledge repositories, this implementation empowers AI systems to leverage curated information sources. It is particularly useful for building AI assistants that need access to company-specific knowledge, technical documentation, or any scenario where an AI system benefits from retrieving contextual information from AWS-managed knowledge bases.
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
- Author type
- human
- Updated
- 2026-05-25
Use via MCP
Resolve AWS Bedrock: 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.