Overview
What is AWS Knowledge Base MCP Server?
AWS Knowledge Base MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to search through a knowledge base using AWS Bedrock and Cloudflare Workers. It integrates with AWS Bedrock Knowledge Base, Pinecone for vector search, and an S3 bucket for storing documents, providing a search_knowledge_base tool.
How to use AWS Knowledge Base MCP Server?
Configure it in Claude Desktop by adding a JSON entry to mcpServers with npx mcp-remote pointing to https://aws-knowledge-base-mcp-server.daohoangson.workers.dev/sse. For GitHub Copilot, add a servers entry with type: "sse" and the same URL. The client demo can connect to the server using SSE or streamable HTTP transports via npm start with the appropriate URL.
Key features of AWS Knowledge Base MCP Server
- Provides a
search_knowledge_basetool for AI assistants. - Integrates with AWS Bedrock Knowledge Base for document retrieval.
- Supports both SSE and streamable HTTP transports.
- Runs on Cloudflare Workers with Node.js compatibility.
- Includes infrastructure as code via AWS CDK.
- Comes with a demo client using AI SDK by Vercel.
Use cases of AWS Knowledge Base MCP Server
- AI assistants searching indexed documentation for relevant answers.
- Demonstrating remote MCP server connectivity with multiple transports.
- Retrieving and updating knowledge bases from Cloudflare and MCP websites.
- Cost estimation for monthly usage with AWS Bedrock, Lambda, and S3.
FAQ from AWS Knowledge Base MCP Server
What transports does the server support?
The server supports both SSE (Server-Sent Events) and streamable HTTP transports.
What are the dependencies for running the server?
The infrastructure requires AWS Bedrock, Pinecone, an S3 bucket, and a Lambda function. The MCP server itself runs on Cloudflare Workers.
Where does the data live?
Documents are stored in an S3 bucket, vector embeddings are managed in Pinecone, and the knowledge base is indexed by AWS Bedrock Knowledge Base.
How do I set up the infrastructure?
Use the CDK in the /cdk directory with environment variables for PINECONE_API_KEY and CDK_APP_ID, then run npx cdk deploy. This creates all required AWS resources.
Can I run the MCP server locally?
Yes, navigate to /cloudflare-mcp-server, install dependencies, and run npm run dev to run the server locally.
