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тепловой счетчик на отопление многоквартирного дома, MCP: An (Accidentally) Universal Plugin System, GitHub - undeadpickle/claude-code-mcpinstall: Easy guide to , Desktop Extensions: One-click MCP server installation for , Mastering Model Context Protocol (MCP): Building Multi Server , The Full MCP Blueprint: Testing, Security, and Sandboxing in , What Is MCP? How It Works (vs RAG) in AI Assistants, Connect Once, Integrate Anywhere with MCP - Microsoft for .
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Today, we're introducing Desktop Extensions—a new packaging format that makes installing MCP servers as simple as clicking a button. Addressing the MCP installation problem Local MCP servers unlock powerful capabilities for Claude Desktop users., The Model Context Protocol (MCP) is rapidly becoming the prominent framework for building truly agentic, interoperable AI applications. Many articles document MCP servers for single-server use, this project stands out as the starter template that combines Azure OpenAI integration with a Multi-Server MCP architecture on a custom interface, enabling you to connect and orchestrate multiple tool , This avoids the “works on my machine” problem and ensures the MCP server has the exact runtime it needs. The server won’t conflict with other Python packages on your system because it uses its own environment. Reproducible deployment: A Docker image can be versioned and deployed anywhere (local machine, cloud VM, etc.) with identical , MCP (Model Context Protocol) works more like a smart control panel the model can use while it’s talking to you. Instead of loading all the information up front, the model can call tools, fetch data, or perform actions in real time during the conversation., MCP enables you to “connect once, integrate anywhere” by creating a universal standard for AI systems to communicate with external tools and data sources. MCP servers enable developers to build reusable and composable components that can be plugged into any MCP-compatible client., .