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AWS MCP Servers are a collection of remotely hosted, fully-managed Model Context Protocol (MCP) servers by AWS, providing AI applications with real-time access to AWS documentation, API references, best practices, and infrastructure-management capabilities via natural-language workflows. An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that maintain 1:1 connections with MCP servers. Common MCP clients include agentic AI coding assistants (like Q Developer, Cline, Cursor, Windsurf) as well as chatbot applications like Claude Desktop, with more clients coming soon. MCP servers can access local data sources and remote services to provide additional context that improves the generated outputs from the models.
Features
- Access to latest AWS documentation and API references as context for AI apps
- Domain‑specific MCP servers (e.g., CDK, CloudFormation, Terraform, AWS APIs)
- Infrastructure as Code workflow integration through natural-language tooling
- Enhanced output quality and hallucination reduction via up-to-date contextual data
- Serves AI assistants across environments (e.g., IDEs, chatbots) with AWS-aware tools
- Promotes intelligent cloud-native development workflows
Project Samples
