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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

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@githubtrending · Post #15504 · 02/19/2026, 12:00 PM

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#other#awesome_list#awesone#distrubuted#global#infra#onboarding#paas#saas#toolbox Free SaaS tools span multiple business functions—from project management (Asana, Trello) and CRM (HubSpot, Zoho) to design (Figma), video conferencing (Zoom), and data analysis—enabling startups and small teams to operate efficiently without upfront costs. Many platforms offer free tiers with essential features, allowing you to test tools before upgrading. This approach lets you build a complete tech stack affordably, scale gradually as your business grows, and allocate budget toward features that directly drive revenue rather than basic software licenses. https://github.com/LlamaGenAI/awesome-free-saas

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