MCP AWS Tools

This Model Context Protocol (MCP) server provides tools for inspecting AWS cloud infrastructure. It uses your local AWS credentials to securely access your AWS account.

Overview

The mcp-aws server exposes three powerful tools to the AI:

1. list_s3_buckets: Retrieves a list of all S3 buckets in your AWS account.

2. list_ec2_instances: Retrieves information about your EC2 instances (IDs, states, types) for a specified region.

3. get_cloudwatch_logs: Fetches recent log events from a specific CloudWatch log group.

Related MCP server: aws-mcp-server

Prerequisites

1. Node.js installed (v18 or higher recommended).

2. AWS Credentials: This server uses the standard AWS SDK for JavaScript. You must have your AWS credentials configured locally on your machine.

   • Run aws configure via the AWS CLI to set this up, OR

   • Export environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY before running.

Steps to Run

1. Install Dependencies:

   npm install

2. Build the Project:

   npm run build

3. Configure MCP: Add this server to your Claude Desktop or Antigravity MCP configuration file:

   {
     "mcpServers": {
       "aws": {
         "command": "node",
         "args": ["/absolute/path/to/mcp-aws/build/index.js"],
         "env": {
            "AWS_REGION": "us-east-1"
         }
       }
     }
   }

   (Note: Adjust the absolute path to point to where you saved this folder. The AWS_REGION is optional but helpful if not set in your config).

4. Restart your MCP Client. You can now ask the AI to "Check my S3 buckets" or "List my running EC2 instances in us-west-2".