mcp
awslabs · awslabs/mcp
This repository provides open-source MCP servers to integrate AI agents with AWS services, enabling agent-driven cloud management.
Open source MCP Servers for AWS
Preview
What you can do with it
- Automate provisioning of AWS resources using an AI agent.
- Monitor AWS service health and respond to alerts through an MCP-enabled agent.
- Query AWS configurations and logs using natural language via an AI agent.
Safety check
No risky patterns found in the files we scanned.
Automated scan of the repo files. Always review code you run.
From the README
Open source MCP servers for AWS
A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
[!TIP] The Agent Toolkit for AWS is now live! The Agent Toolkit for AWS is the successor to the MCP servers, plugins, and skills available on AWS Labs, and was informed by feedback from customers like you. If you're building production software using coding agents or building agents for your own customers, we recommend Agent Toolkit for AWS. It includes IAM condition keys to distinguish agent actions from human ones, CloudWatch and CloudTrail visibility, and skills that have been evaluated for accuracy and effectiveness. This repo continues to work and accept contributions. Over time, the most useful projects here will move into Agent Toolkit for AWS.
Table of Contents
- Open source MCP servers for AWS
- Table of Contents
- What is the Model Context Protocol (MCP) and how does it work with MCP Servers for AWS?
- Open source MCP servers for AWS Transport Mechanisms
- Available MCP Servers: Quick Installation
- 🚀 Getting Started with AWS
- Browse by What You're Building
- 🏗️ Infrastructure & Deployment
- 🤖 AI & Machine Learning
- 📊 Data & Analytics
- 🛠️ Developer Tools & Support
- 📡 Integration & Messaging
- 💰 Cost & Operations
- 🧬 Healthcare & Lifesciences
- Browse by How You're Working
- MCP AWS Lambda Handler Module
- When to use Local vs Remote MCP Servers?
- Use Cases for the Servers
- Installation and Setup
- Samples
- Vibe coding
- Additional Resources
- Security
- Contributing
- Developer guide
- License
- Disclaimer
What is the Model Context Protocol (MCP) and how does it work with MCP Servers for AWS?
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
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