Tag: #aws
27 packages • ⭐ 28,941 total stars
Official MCP Servers for AWS
Open-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3). TypeScript framework with multi-tenancy, lifecycle hooks, GraphQL API, and AI-assisted development via MCP server. Built
Powertools for AWS Lambda (Python) is a developer toolkit to implement Serverless best practices and increase developer velocity.
Open source library for training and deploying models on Amazon SageMaker.
Sandboxed code execution for AI agents, locally or on the cloud. Massively parallel, easy to extend. Powering SWE-agent and more.
The AWS X-Ray SDK for Python (the SDK) enables Python developers to record and emit information from within their applications to the AWS X-Ray service.
High-fidelity, anycloud emulators running in your laptop. For DevOps programming, testing, and simulation.
Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using La
The @aws/nx-plugin is a collection of code generators that automate the creation and configuration of cloud-native applications using AWS, TypeScript, Python and React within the Nx development ecosys
🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Dock
A multi-agent AI architecture that connects 25+ specialized agents through n8n and MCP servers. Project NOVA routes requests to domain-specific experts, enabling control of applications from knowledge
Official ServerlessClaw: The authoritative autonomous AI agent swarm for AWS. Zero idle cost, self-evolving, and infinite scale. Powered by OpenClaw.
🚀 Generate and extend production-ready Model Context Protocol (MCP) servers with a modern CLI tool that showcases all MCP features in one cohesive example.
🤖 Develop enterprise AI agents with integrated tools for chat, video, image editing, and secure multi-tenant workflows.
Generate reliable short finance explainer videos with script, slides, voice, subtitles, and batch-ready rendering in a stable, modular workflow.
Provide free, open access to comprehensive AI tools, guides, reviews, and resources to reduce knowledge gaps and empower users.
🌟 Track token consumption in real-time with MCP Audit. Diagnose context bloat and unexpected spikes across MCP servers and tools efficiently.
🔍 Build a production-ready RAG system that combines LangGraph and MCP integration for precise, context-aware AI-driven question answering.
🛠️ Accelerate your Python and JavaScript development with Claude Kit's toolkit, featuring specialized agents, slash commands, and advanced context management.
🚀 Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.
🤖 Implement hybrid human-AI orchestration patterns in Python to coordinate agents, manage sessions, and enable smooth AI-human handoffs.
🔧 Expose Hono API endpoints as MCP tools, simplifying integration and enhancing your API's functionality.
🛠️ Streamline your development with Kiro, an agentic IDE that transforms prototypes into production using spec-driven methods and AI-powered coding support.
Python library to interact with Amazon SageMaker Unified Studio