AWS Knowledge Base Server

Example Use Cases

• 1

  Query an AWS Bedrock Knowledge Base using natural language and receive generated answers.

• 2

  Include contextual information to improve relevance of knowledge-base queries.

• 3

  An MCP-compatible tool (e.g., for Claude) to integrate Bedrock KB lookups into multi-tool workflows.

Description

This project implements a Model Context Protocol (MCP) server that enables querying AWS Bedrock Knowledge Bases using natural language. It exposes a tool (query_knowledge_base) for MCP-compatible agents and supports context-aware queries and configurable response generation parameters. The server is simple to run locally or as a module and integrates with agents like Claude by providing a standardized command/env configuration. It requires AWS credentials and a configured Bedrock Knowledge Base and inference profile.