AWS Advisor MCP Server

A Model Context Protocol (MCP) server that provides AWS service recommendations based on your use case descriptions.

Features

• suggest_aws_service: Get AWS service recommendations by describing your use case
• list_aws_categories: Browse AWS services organized by category (compute, storage, database, etc.)

Setup

1. Install uv (if not already installed):

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Sync dependencies:

uv sync

This will create a virtual environment and install all dependencies.

Configuration for Cursor IDE

Add this server to your Cursor MCP settings:

1. Open Cursor Settings
2. Navigate to the MCP section
3. Add a new server with this configuration:

{
  "mcpServers": {
    "aws-advisor": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/antonioschaffert/workspace/tony/my-dev-mcp",
        "run",
        "python",
        "src/aws_advisor_server.py"
      ]
    }
  }
}

Or add it to your MCP config file (usually ~/.cursor/mcp_config.json or similar):

{
  "aws-advisor": {
    "command": "uv",
    "args": [
      "--directory",
      "/Users/antonioschaffert/workspace/tony/my-dev-mcp",
      "run",
      "python",
      "src/aws_advisor_server.py"
    ]
  }
}

Usage

Once configured, you can use the tools in Cursor:

Example prompts:

• "What AWS service should I use for serverless computing?"
• "Suggest AWS services for storing images"
• "What's the best AWS service for a relational database?"
• "Show me AWS services for real-time data streaming"
• "List all AWS categories"

Available Tools:

1. suggest_aws_service

   • Input: use_case (string) - Description of what you want to build
   • Returns: Recommended AWS services with explanations

2. list_aws_categories

   • No input required
   • Returns: All AWS service categories and their services

Testing Locally

You can test the server directly:

uv run python src/aws_advisor_server.py

Then send MCP protocol messages via stdin (for advanced testing).

Covered AWS Services

• Compute: EC2, Lambda, ECS, EKS, Fargate, Lightsail
• Storage: S3, EBS, EFS, Glacier, FSx
• Database: RDS, DynamoDB, Aurora, DocumentDB, ElastiCache, Neptune, Redshift
• Networking: VPC, CloudFront, Route53, API Gateway, Direct Connect, ELB
• Analytics: Athena, EMR, Kinesis, Glue, QuickSight
• ML/AI: SageMaker, Rekognition, Comprehend, Polly, Transcribe, Translate, Lex
• Security: IAM, Cognito, KMS, Secrets Manager, WAF, GuardDuty
• Messaging: SQS, SNS, EventBridge, SES
• Monitoring: CloudWatch, X-Ray, CloudTrail

Requirements

• Python 3.10+
• mcp package (>=0.9.0)