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Source channel @githubtrending · Post #15116 · Sep 3

#other#ai#anthropic_claude#awesome#context#mcp#model_context_protocol#servers#tool_use#tools Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control. https://github.com/appcypher/awesome-mcp-servers

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@sum_tech · Post #113 · 12/09/2024, 02:19 AM

Рекомендуем всем ИТ-профессионалам иногда читать прекрасный канал "В мире больших данных". Нестандартный взгляд на базы данных и современное состояние ИТ в целом. #партнеры#dbms#рекомендуем

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@githubtrending · Post #15580 · 03/23/2026, 11:30 AM

#go#cli#database#database_management#dbms#environment#local#postgres#postgresql#supabase Supabase CLI lets you run Supabase locally, manage database migrations, deploy functions, generate types from your schema, and make secure API calls. Install easily via npm (`npm i supabase --save-dev`), Homebrew, Scoop, or binaries for any OS, then run `supabase init` and `supabase start` to launch your full stack with local URLs and keys. This benefits you by speeding up development, testing changes offline without cloud costs, ensuring type safety, and simplifying CI/CD for reliable deploys. https://github.com/supabase/cli