Aws Kb Retrieval Server: Precision Insights & Streamlined Cloud Ops

Key Features of Aws Kb Retrieval Server: Precision Insights & Streamlined Cloud Ops?

Two standout acts steal the show here:

• RAG (Retrieval-Augmented Generation): Think of it as a highly caffeinated grep command for AWS docs. Instead of regex, it uses semantic understanding to fetch contextually relevant snippets.
• Custom Result Control: Tired of getting 3 results by default? Specify n to adjust the output like a DJ tweaks a playlist—more results for thorough analysis or fewer for quick decisions.

FAQ: Aws Kb Retrieval Server Questions (Solved Before You Ask)

Because we’ve seen it all:

• “My results are too vague!” → Add more keywords to your query like “high availability” or “cost optimization.” Clarity breeds precision.
• “What if the KB ID changes?” → Monitor AWS’s docs like a hawk. Or use this as leverage to demand better version control from your cloud provider.
• “Can I get JSON responses?” → Yes, but parsing them feels like reading a novel written in emojis. Proceed with caution.

AWS Knowledge Base Retrieval MCP Server

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

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.

Tools

• retrieve_from_aws_kb
  • Perform retrieval operations using the AWS Knowledge Base.
  • Inputs:
    • query (string): The search query for retrieval.
    • knowledgeBaseId (string): The ID of the AWS Knowledge Base.
    • n (number, optional): Number of results to retrieve (default: 3).

Configuration

Setting up AWS Credentials

1. Obtain AWS access key ID, secret access key, and region from the AWS Management Console.
2. Ensure these credentials have appropriate permissions for Bedrock Agent Runtime operations.

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

Docker

{
  "mcpServers": {
    "aws-kb-retrieval": {
      "command": "docker",
      "args": [ "run", "-i", "--rm", "-e", "AWS_ACCESS_KEY_ID", "-e", "AWS_SECRET_ACCESS_KEY", "-e", "AWS_REGION", "mcp/aws-kb-retrieval-server" ],
      "env": {
        "AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
        "AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
        "AWS_REGION": "YOUR_AWS_REGION_HERE"
      }
    }
  }
}



{
  "mcpServers": {
    "aws-kb-retrieval": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-aws-kb-retrieval"
      ],
      "env": {
        "AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
        "AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
        "AWS_REGION": "YOUR_AWS_REGION_HERE"
      }
    }
  }
}

Building

Docker:

docker build -t mcp/aws-kb-retrieval -f src/aws-kb-retrieval-server/Dockerfile . 

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

This README assumes that your server package is named @modelcontextprotocol/server-aws-kb-retrieval. Adjust the package name and installation details if they differ in your setup. Also, ensure that your server script is correctly built and that all dependencies are properly managed in your package.json.