Discover 169 MCPs built for AWS.
Manages multi-cloud resources across AWS, Google Cloud, Azure, and DigitalOcean using Model Context Protocol tools.
Automates regulatory readiness assessments for organizations by analyzing code, infrastructure, and documentation using specialized AI agents.
Exposes herd data through a discoverable, versioned API.
Orchestrates production-grade, Kubernetes-native Model Context Protocol (MCP) servers with advanced deployment capabilities.
Retrieves information from the AWS Knowledge Base using the Bedrock Agent Runtime, enabling Retrieval-Augmented Generation (RAG).
Manages and transforms JSON data using `jq` queries, generates and validates schemas, and supports S3 synchronization.
Enables seamless semantic search over AWS Cloudscape documentation, assisting AI agents and coding assistants in retrieving relevant information.
Analyzes AWS Bedrock usage and logs through Anthropic's Model Control Protocol (MCP).
Generates various technical diagrams, including AWS architecture, sequence, flow, and class diagrams, directly from Python code.
Deploys a Model Context Protocol (MCP) server designed to run on AWS Lambda, integrating custom tools with AI clients.
Generates a Multi-Agent Conversation Protocol (MCP) server for interacting with the AWS S3 Control API.
Provides a professional Model Context Protocol (MCP) server for universal web scraping, robust React app testing, and deep React Native web application inspection.
Enhances AI agent capabilities for personal workspace management by providing automated project documentation, cloud infrastructure access, and code analysis.
Manages travel itineraries using a robust tech stack including Laravel 12, MySQL, Redis, and Leaflet.js, featuring automated AWS deployment.
Provides comprehensive documentation and insights for AWS AgentCore to GenAI tools, enabling the development of production-ready AI agents.
Assess and compare vendor risks using AI-powered insights from AWS Titan.
Enables Claude to interact with and manage AWS resources such as S3 buckets and DynamoDB tables.
Generates personalized music playlists and recommendations by analyzing user listening patterns with AI-powered insights.
Provides sample Python servers for extending AI assistant capabilities via the Model Context Protocol.
Empowers LLM agents to manage and automate ETL workflows across Airflow, AWS Glue, Athena, and S3 using natural language commands.
Scroll for more results...