AWS Labs MCP ServersUnclaimed

Open Source MCP Servers for AWS is a collection of specialised Model Context Protocol servers that connect AI assistants and applications to AWS. The servers give AI tools access to AWS documentation, contextual guidance and best practices, so the code and answers they produce about AWS services are more accurate.

The Model Context Protocol is an open standard for connecting LLM applications to external data sources and tools. Each server is a lightweight program that exposes specific capabilities through that protocol. MCP clients such as Kiro, Cline, Cursor, Windsurf and Claude Desktop connect to the servers and use them while they work.

The collection covers many areas. It includes a remote server hosted by AWS that combines AWS API support with documentation and Agent SOPs, along with servers for AWS documentation, the AWS CLI, infrastructure management, containers, serverless applications, databases, caching, messaging, and machine learning services. The servers are grouped into categories such as Essential, Core, Documentation, Infrastructure and Deployment, AI and Machine Learning, Data and Analytics, and Cost and Operations.

The servers are for developers and teams who use AI coding assistants or build AI applications on AWS. Setup happens in an MCP client configuration file, and the pages include examples for uvx and Docker. Each server has its own page with prerequisites and the AWS permissions it needs.

The servers are open source. The page does not list a paid plan. The AWS Pricing MCP Server page says its calls to the AWS Pricing API are free of charge, but you still need an AWS account and appropriate IAM permissions. The page does not state what the AWS resources the servers manage will cost.