Unlock the Power of AWS with MCP Servers: A Developer's Guide

Harness the full potential of Amazon Web Services (AWS) with AWS MCP Servers. This suite of specialized Model Context Protocol (MCP) servers empowers your AI applications and coding environments with real-time access to AWS documentation, best practices, and services. Integrate AWS MCP servers into your workflow and experience enhanced cloud-native development like never before.

What are AWS MCP Servers and why should you care?

AWS MCP Servers are lightweight programs adhering to the Model Context Protocol (MCP). MCP is an open standard that allows Large Language Models (LLMs) to connect with external data sources and tools seamlessly.

Here's why MCP Servers are a game-changer:

Improved AI Output Quality: Get more accurate AWS service details, code generation, and best-practice recommendations.
Access to the Latest AWS Documentation: Eliminate outdated information with real-time updates.
Workflow Automation: Transform common cloud tasks into streamlined, AI-driven processes.
Specialized AWS Knowledge: Give your AI assistant access to deep AWS contextual knowledge.

Supercharge Your AI with These Available AWS MCP Servers

This collection boasts an array of specialized servers, each designed to tackle unique AWS-related tasks, using tools like AWS CDK and Terraform.

Core MCP Server: Centrally manage and coordinate other AWS MCP Servers. Simplify installation with UVX, consolidate configuration, and centralize management.
AWS Documentation MCP Server: Access and search official AWS documentation. Convert documentation to Markdown for easy integration.
Amazon Bedrock Knowledge Bases Retrieval MCP Server: Discover, query, and filter Amazon Bedrock Knowledge Bases with natural language and get re-raked results.
AWS CDK MCP Server: Get infrastructure-as-code best practice guidance for your AWS Cloud Development Kit (CDK) projects. Receive construct recommendations and project analysis.
Cost Analysis MCP Server: Visualize and analyze AWS costs with natural language queries. Generate insightful cost reports.
Amazon Nova Canvas MCP Server: Generate images using text prompts and color palettes with Amazon Nova Canvas. Integrate seamlessly with your workspace.
AWS Diagram MCP Server: Create professional diagrams with code using the Python diagrams package DSL. Supports various diagram types (AWS architecture, sequence, etc.)
AWS Lambda MCP Server: Use AWS Lambda functions as MCP tools without modifying code. Enables access to private resources securely.
AWS Terraform MCP Server: Implement security-first workflows with Checkov integration and AWS-IA GenAI Modules. Access AWS and AWSCC Provider Documentation. Secure your AWS infrastructure with proven cloud-native development expertise.

Real-World Use Cases: Elevate Your Cloud Development

Imagine the possibilities with AWS MCP Servers:

Use the AWS Documentation MCP Server to generate up-to-date code for Amazon Bedrock agents using your AI assistant.
Leverage the CDK MCP Server or Terraform MCP Server to follow the latest APIs and AWS best practices creating infrastructure-as-code.
Query the Cost Analysis MCP Server to ask "What are my top 3 AWS services by cost last month?" and receive actionable recommendations.

Getting Started: Installation and Configuration

Here's a quick guide to get you up and running:

Install uv from Astral.
Install Python uv python install 3.10.
Configure AWS credentials with the necessary service access.
Add the desired server to your MCP client configuration file (example for Amazon Q CLI).

See individual server READMEs for detailed instructions and specific requirements.

Explore the Documentation and Resources

Dive deeper with these valuable resources:

Comprehensive Documentation Website: Find detailed guides, API references, and usage examples for each server. Access the documentation for each server via links here
- [Core MCP Server](insert link)
- [Amazon Bedrock Knowledge Bases Retrieval MCP Server](insert link)
- [AWS CDK MCP Server](insert link)
- [Cost Analysis MCP Server](insert link)
- [Amazon Nova Canvas MCP Server](insert link)
- [AWS Diagram MCP Server](insert link)
Ready-to-Use Samples: Explore practical code examples in the samples directory.
Additional Resources: Discover more through articles and videos.
- [Introducing AWS MCP Servers for code assistants](insert link)
- [Vibe coding with AWS MCP Servers | AWS Show & Tell](insert link)

Contribute and Shape the Future

You can contribute to the AWS MCP Servers project. Check out the contributor guide for more information.

Disclaimer

Before using an AWS MCP Server, conduct your own independent assessment to ensure compliance with your security and quality control standards, as well as all applicable laws and regulations.

Unlock the Power of AWS with MCP Servers: A Developer's Guide

What are AWS MCP Servers and why should you care?

Here's why MCP Servers are a game-changer:

Improved AI Output Quality: Get more accurate AWS service details, code generation, and best-practice recommendations.

Access to the Latest AWS Documentation: Eliminate outdated information with real-time updates.

Workflow Automation: Transform common cloud tasks into streamlined, AI-driven processes.

Specialized AWS Knowledge: Give your AI assistant access to deep AWS contextual knowledge.

Supercharge Your AI with These Available AWS MCP Servers

This collection boasts an array of specialized servers, each designed to tackle unique AWS-related tasks, using tools like AWS CDK and Terraform.

Core MCP Server: Centrally manage and coordinate other AWS MCP Servers. Simplify installation with UVX, consolidate configuration, and centralize management.

AWS Documentation MCP Server: Access and search official AWS documentation. Convert documentation to Markdown for easy integration.

Amazon Bedrock Knowledge Bases Retrieval MCP Server: Discover, query, and filter Amazon Bedrock Knowledge Bases with natural language and get re-raked results.

AWS CDK MCP Server: Get infrastructure-as-code best practice guidance for your AWS Cloud Development Kit (CDK) projects. Receive construct recommendations and project analysis.

Cost Analysis MCP Server: Visualize and analyze AWS costs with natural language queries. Generate insightful cost reports.

Amazon Nova Canvas MCP Server: Generate images using text prompts and color palettes with Amazon Nova Canvas. Integrate seamlessly with your workspace.

AWS Diagram MCP Server: Create professional diagrams with code using the Python diagrams package DSL. Supports various diagram types (AWS architecture, sequence, etc.)

AWS Lambda MCP Server: Use AWS Lambda functions as MCP tools without modifying code. Enables access to private resources securely.

AWS Terraform MCP Server: Implement security-first workflows with Checkov integration and AWS-IA GenAI Modules. Access AWS and AWSCC Provider Documentation. Secure your AWS infrastructure with proven cloud-native development expertise.

Real-World Use Cases: Elevate Your Cloud Development

Imagine the possibilities with AWS MCP Servers:

Use the AWS Documentation MCP Server to generate up-to-date code for Amazon Bedrock agents using your AI assistant.

Leverage the CDK MCP Server or Terraform MCP Server to follow the latest APIs and AWS best practices creating infrastructure-as-code.

Query the Cost Analysis MCP Server to ask "What are my top 3 AWS services by cost last month?" and receive actionable recommendations.

Getting Started: Installation and Configuration

Here's a quick guide to get you up and running:

Install uv from Astral.

Install Python uv python install 3.10.

Configure AWS credentials with the necessary service access.

Add the desired server to your MCP client configuration file (example for Amazon Q CLI).

See individual server READMEs for detailed instructions and specific requirements.

Explore the Documentation and Resources

Dive deeper with these valuable resources:

Comprehensive Documentation Website: Find detailed guides, API references, and usage examples for each server. Access the documentation for each server via links here