AWS MCP Servers
AWS MCP Servers offer specialized tools that enhance AWS cloud development, documentation access, cost management, and infrastructure automation through the Model Context Protocol.
Added on:
Created by:
Apr 28 2025
AWS MCP Servers offer specialized tools that enhance AWS cloud development, documentation access, cost management, and infrastructure automation through the Model Context Protocol.
Added on:
Created by:
Apr 28 2025
Amazon Web Services - Labs
Featured
What is AWS MCP Servers?
AWS MCP Servers implement the Model Context Protocol to enable seamless integration of AI applications with AWS services. They provide functionalities such as accessing up-to-date AWS documentation, generating architecture diagrams, performing cost analysis, and managing infrastructure-as-code with CDK and Terraform. These servers facilitate context-aware AI assistance, improve response accuracy, automate workflows, and support rich data retrieval from AWS platforms. They help developers and data scientists streamline cloud operations by embedding AWS best practices directly into AI-powered tools, thereby improving efficiency, accuracy, and security in cloud-based projects.
Who will use AWS MCP Servers?
- Developers working on AWS cloud infrastructure
- AI application builders
- Cloud engineers
- DevOps teams
- Data scientists
- Technical documentation specialists
How to use the AWS MCP Servers?
- Step1: Install uv from Astral and configure AWS credentials
- Step2: Choose desired MCP servers and install them following the instructions
- Step3: Add MCP server configurations to your client or project setup
- Step4: Enable and activate MCP servers within your development environment
- Step5: Use prompts to interact with MCP servers for documentation, cost analysis, diagram generation, or infrastructure management
AWS MCP Servers's Core Features & Benefits
The Core Features
- Access AWS documentation
- Generate diagrams with Python
- Perform cost analysis
- Manage AWS infrastructure with CDK and Terraform
- Retrieve knowledge bases from Amazon Bedrock
- Run Lambda functions as tools
- Coordinate multiple MCP servers
The Benefits
- Up-to-date AWS information retrieval
- Automated infrastructure and cost management
- Enhanced accuracy with contextual data
- Streamlined cloud-native workflows
- Security and best practices embedded in tools
AWS MCP Servers's Main Use Cases & Applications
- Research and generate up-to-date AWS service code
- Visualize architectures with Python diagrams
- Analyze and optimize AWS costs
- Automate AWS infrastructure deployment
- Retrieve and query Amazon Bedrock knowledge bases
FAQs of AWS MCP Servers
Developer
- awslabs
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Cloud Platforms
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A cross-platform package manager designed to manage all MCP servers efficiently and seamlessly.
A demo project showing how to build an MCP client agent to connect to external services via MCP protocol.
Implements an MCP server and client using FastMCP and LangChain for structured asynchronous communication.