300+ open-source MCP servers

The GitHub repository "awesome-mcp-servers" offers a curated list of 300+ open-source MCP (Modular Control Plane) servers designed to boost the capabilities of AI agents. It includes production-ready and experimental servers across a variety of categories, such as:

• 📂 Browser Automation

• ☁️ Cloud Platforms

• 👨‍💻 Code Execution

• 🖥️ Command Line

• 👤 Customer Data Platforms

• 🗄️ Databases

• 📊 Data Platforms

• 📂 File Systems

• 🧠 Knowledge & Memory

• 🔎 Search & Data Extraction

• 🔒 Security

• 🔄 Version Control

MCP servers with Amazon Bedrock Agents

AI agents extend large language models (LLMs) by integrating with external systems to execute complex workflows. Amazon Bedrock Agents facilitate this by orchestrating foundation models (FMs) with APIs and knowledge bases. However, traditional integration methods often require custom coding, creating bottlenecks. The Model Context Protocol (MCP) addresses this by providing a standardized way for LLMs to connect to data sources and tools.

MCP enables seamless access to an expanding list of tools, promoting better agent discoverability and interoperability across industries. Using MCP with Amazon Bedrock Agents allows developers to create AI applications that dynamically integrate with data sources. The client-server architecture of MCP ensures flexibility, as agents can access new capabilities without modifying application code.

The article provides a step-by-step guide for using MCP with Amazon Bedrock Agents, demonstrating its application through an agent that analyzes AWS costs. By leveraging MCP, developers can build more context-aware AI agents that efficiently interact with enterprise systems and services.

OpenAI Academy adds free resources

OpenAI has launched an online hub for OpenAI Academy, a free platform aimed at making AI education more accessible, practical, and inclusive. The Academy offers a library of AI-related content, as well as online and in-person workshops to help learners from students and educators to business owners and job seekers confidently use AI.

Initially focused on in-person programs for developers, the Academy is now expanding to serve a broader audience. It will provide AI literacy workshops in collaboration with institutions like Georgia Tech and Miami Dade College, workforce organizations, and nonprofits. The initiative seeks to equip people with AI skills, fostering learning, economic mobility, and innovation.

OpenAI Academy

Chinese ByteDance dropped another amazing AI model DreamActor-M1

DreamActor-M1 is a diffusion transformer (DiT)-based human animation model that delivers highly expressive, realistic, and temporally coherent human video synthesis from a single reference image. It introduces hybrid guidance to achieve:

• Fine-grained holistic controllability over facial and body movements

• Multi-scale adaptability for portraits, upper-body, and full-body views

• Long-term temporal coherence, especially for complex and unseen motion sequences

Key innovations include:

• Hybrid motion guidance combining facial representations, 3D head spheres, and 3D body skeletons

• Progressive multi-scale training with varying resolutions for robust performance

• Appearance guidance using sequential frame patterns and visual references

The method surpasses existing approaches in expression detail, scale generalization, and consistency, and can also support audio-driven facial animation with lip-sync in multiple languages. It enables partial motion transfer (e.g., just facial expressions) and performs well even for poses not present in the original reference.

DreamActor-M1 sets a new benchmark for expressive, robust, and controllable human animation suitable for use in film, advertising, and gaming.

Link to details