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AWS Advisor MCP Server

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
  1. 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)

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security - not tested
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license - not found
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Provides AWS service recommendations based on use case descriptions and allows browsing AWS services organized by categories. Helps users discover the most suitable AWS services for their specific technical requirements.

  1. Features
    1. Setup
      1. Configuration for Cursor IDE
        1. Usage
          1. Example prompts:
          2. Available Tools:
        2. Testing Locally
          1. Covered AWS Services
            1. Requirements

              MCP directory API

              We provide all the information about MCP servers via our MCP API.

              curl -X GET 'https://glama.ai/api/mcp/v1/servers/antonioschaffert/my-dev-mcp'

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