AWS Knowledge Base Retrieval

by CloudTeam

234

What is AWS Knowledge Base Retrieval

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

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Features

  • RAG (Retrieval-Augmented Generation): Retrieve context from the AWS Knowledge Base based on a query and a Knowledge Base ID.
  • Supports multiple results retrieval: Option to retrieve a customizable number of results.

Installation

To use this MCP server with Claude Desktop, add the following configuration to your claude_desktop_config.json:

{
            "mcpServers": {
              "aws-kb-retrieval-server": {
                "command": "npx",
                "args": [
                  "-y",
                  "aws-services-mcp"
                ]
              }
            }
          }

Related Content with AWS Knowledge Base Retrieval

Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.