AWS MCP Servers is a suite of specialized Model Context Protocol (MCP) servers designed to integrate AWS best practices and resources into AI-powered development workflows. These servers enable enhanced cloud-native development and infrastructure management by providing AI applications with real-time access to AWS documentation, contextual guidance, and best practices. The MCP is an open protocol that facilitates seamless integration between large language model (LLM) applications and external data sources or tools, allowing AI tools like chatbots and coding assistants to connect with relevant context to improve their outputs. AWS MCP Servers act as lightweight programs exposing specific capabilities through the MCP, allowing host applications such as IDEs, chatbots, and AI assistants to maintain direct connections with these servers. This architecture enables AI models to access up-to-date AWS documentation and workflows, reducing hallucinations and improving the accuracy of technical details, code generation, and recommendations aligned with AWS's current service capabilities. The servers support various AWS-related workflows including infrastructure as code, container platforms, serverless functions, AI and machine learning, data and analytics, developer tools, integration and messaging, cost and operations, and healthcare and life sciences. They also facilitate different working styles such as core development workflows, conversational assistants, and autonomous background agents. AWS MCP Servers remove Server Sent Events (SSE) support in favor of upcoming Streamable HTTP transport methods, aligning with the MCP specification's backward compatibility guidelines. The project is open source and encourages community contributions. It provides installation and setup instructions for running MCP servers in containers and integrating with popular AI tools like Cline, Cursor, and Windsurf. Overall, AWS MCP Servers empower AI applications to become intelligent extensions of cloud-native development environments, making AI-assisted cloud computing more accessible, efficient, and aligned with AWS best practices.
https://github.com/awslabs/mcp
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