What transports does the server support?
The server supports both SSE (Server-Sent Events) and streamable HTTP transports.
@daohoangson
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"aws-knowledge-base-mcp-server": {
"command": "npx",
"args": [
"cdk",
"deploy"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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.
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.
search_knowledge_base tool for AI assistants.The server supports both SSE (Server-Sent Events) and streamable HTTP transports.
The infrastructure requires AWS Bedrock, Pinecone, an S3 bucket, and a Lambda function. The MCP server itself runs on Cloudflare Workers.
Documents are stored in an S3 bucket, vector embeddings are managed in Pinecone, and the knowledge base is indexed by AWS Bedrock Knowledge Base.
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.
Yes, navigate to `/cloudflare-mcp-server`, install dependencies, and run `npm run dev` to run the server locally.

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Model Context Protocol Servers
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