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AWS API MCP Server

The AWS API MCP Server enables AI assistants to interact with AWS services and resources through AWS CLI commands. It provides programmatic access to manage your AWS infrastructure while maintaining proper security controls. This server acts as a bridge between AI assistants and AWS services, allowing you to create, update, and manage AWS resources across all available services. It helps with AWS CLI command selection and provides access to the latest AWS API features and services, even those released after an AI model's knowledge cutoff date. This MCP server is meant for testing, development, and evaluation purposes.

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

The AWS API MCP Server enables AI assistants to interact with AWS services through the Model Context Protocol (MCP). When deployed to AgentCore, it provides secure, scalable access to AWS APIs with built-in authentication and session isolation.

This server acts as a bridge between AI assistants and AWS services, allowing you to query, manage, and interact with AWS resources across all available services. It helps with AWS CLI command selection and provides access to the latest AWS API features, even those released after an AI model's knowledge cutoff date.

When deployed via AWS Marketplace to AgentCore Runtime, the server runs in a managed runtime environment with IAM-based permissions and external authentication. This eliminates the need for local credential management while providing enterprise-grade security and scalability.

For local development, testing, and alternative deployment methods, see the GitHub repository.

https://github.com/awslabs/mcp/tree/main/src/aws-api-mcp-server

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