{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/3"}],"enrichment":{"capability":"Exposes AWS services to AI assistants through the Model Context Protocol, allowing them to execute AWS CLI commands and interact with AWS resources programmatically.","skillfed_tags":["ai-integration","aws-automation","protocol-bridge"],"use_cases":["Enable AI coding assistants to provision EC2 instances, S3 buckets, or other AWS resources directly from chat.","Allow AI agents to query and modify AWS infrastructure state without manual console navigation.","Integrate AWS resource management into AI-driven CI/CD or infrastructure-as-code workflows.","Provide AI models with access to latest AWS APIs and services beyond their training cutoff date.","Automate AWS CLI command discovery and execution through natural language prompts in AI assistants."],"what_it_does":"This package implements a Model Context Protocol (MCP) server that bridges AI assistants with AWS infrastructure. It translates AI requests into AWS CLI commands, allowing tools like Cursor, Kiro, and Cline to create, update, and manage AWS resources without direct AWS console access. The server maintains proper security controls and credential handling through boto3.\n\nThe package acts as a runtime adapter between an AI model and AWS services, handling command translation, response parsing, and credential management. It depends on awscli, boto3, botocore, and other standard Python libraries for HTTP communication, logging, and data validation. The server can run in multiple modes: as a subprocess via Python, in Docker containers, or in HTTP mode for remote access. It supports environment-based configuration for AWS regions and authentication methods.","worth_installing":"Yes, with conditions. Install if you use an MCP-compatible AI assistant (Cursor, Kiro, Cline) and need programmatic AWS resource management from AI chat. The package is actively maintained, has low install friction, and carries no license restrictions. However, note that AWS Labs has published an official AWS MCP server that supersedes this one\u2014review the migration guide before committing to this version for new projects. No known security vulnerabilities."},"id":"awslabs-aws-api-mcp-server","links":{"html":"https://skillfed.io/packages/awslabs-aws-api-mcp-server","md":"https://skillfed.io/packages/awslabs-aws-api-mcp-server.md","pypi":"https://pypi.org/project/awslabs-aws-api-mcp-server/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"awslabs.aws-api-mcp-server","python_support":"supports_current","summary":"Model Context Protocol (MCP) server for interacting with AWS"},"popularity":{"monthly_downloads":451414,"position":6586,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.5.1"}