MCP server for AWS Knowledge Base retrieval using Bedrock Agent Runtime

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.

MCP Server · Populars

MCP Server · New

    boyleryan

    Limitless MCP Server (v0.1.0)

    This is an MCP (Model Context Protocol) server that connects your Limitless Pendant data to AI tools like Claude, Windsurf, and others via the Limitless API. It lets AI apps and agents interact with your Lifelog in a structured, programmable way.

    Community boyleryan
    brief-hq

    ⏰🧠 Temporal-MCP Server

    Empowering AI with Workflow Orchestration

    Community brief-hq
    lucgagan

    Completions

    Node.js SDK for interacting with OpenAI Chat API.

    Community lucgagan
    GLINCKER

    GLIN PROFANITY

    Open-source ML-powered profanity filter with TensorFlow.js toxicity detection, leetspeak & Unicode obfuscation resistance. 21M+ ops/sec, 23 languages, React hooks, LRU caching. npm & PyPI.

    Community GLINCKER
    nhevers

    moltbrain

    Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.

    Community nhevers