TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15076 · Aug 19
#python#aws#mcp#mcp_client#mcp_clients#mcp_host#mcp_server#mcp_servers#mcp_tools#modelcontextprotocol AWS MCP Servers use the Model Context Protocol (MCP), an open standard that connects AI tools with AWS data and services in a simple, secure way. These servers improve AI responses by providing up-to-date AWS documentation, best practices, and workflow automation for cloud development, infrastructure, and operations. You can run MCP servers locally for development or use AWS-managed remote servers for easy access and scalability. MCP servers support many AWS services like Lambda, DynamoDB, EKS, and more, helping you build, manage, and optimize AWS resources efficiently with AI assistance. Installation is easy with one-click options for popular tools like VS Code and Cursor. This makes cloud development faster, more accurate, and cost-effective. https://github.com/awslabs/mcp
Search: #planning
@amazingeo · Post #212 · 09/10/2025, 04:12 PM
🌍 Milan has over 3 million trees as part of its city plan, giving it more trees than people. Urban forests like this reduce heat, clean air, and boost well-being for city residents. ✨ #cities⚡#sustainability⚡#planning⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
@amazingeo · Post #104 · 08/23/2025, 08:12 PM
🌍 Hong Kong’s extensive network of elevated walkways—some stretching over 800 meters—lets people travel between major buildings without ever touching the street, maximizing space in the crowded city. ✨ #urban⚡#planning⚡#cityscape⚡#infrastructure⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
@githubtrending · Post #14639 · 04/27/2025, 01:00 PM
#python#agent_computer_interface#ai_agents#computer_automation#computer_use#grounding#gui_agents#in_context_reinforcement_learning#memory#mllm#planning#retrieval_augmented_generation Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively. https://github.com/simular-ai/Agent-S