Scaling organizational knowledge in Kiro with Amazon Bedrock Knowledge Bases, LangChain, and MCP

This article demonstrates how to integrate Amazon Bedrock Knowledge Bases with Kiro IDE using the Model Context Protocol (MCP) to enable developers to query organizational documentation directly from their editor.

• Connect existing or new Knowledge Bases to Kiro through MCP for in-editor access to coding standards, API specs, and architecture decisions
• Use the awslabs.bedrock-kb-retrieval-mcp-server to bridge Kiro and Knowledge Bases with automatic discovery via tagging
• Deploy infrastructure using AWS CDK for teams starting fresh, or tag existing Knowledge Bases with mcp-multirag-kb=true
• Query Knowledge Bases from Kiro IDE or CLI; use headless mode in CI/CD pipelines for automated compliance checks
• Combine MCP retrieval with Kiro's workspace awareness for comprehensive answers with source attribution
• Supports LangChain alternative for provider portability and custom RAG chain composition

This integration eliminates context switching, unifies knowledge access across multiple Knowledge Bases, and accelerates developer onboarding by surfacing team standards during development rather than after code review.