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In this context, it enables the Visual Components (VC) MCP server to provide structured simulation data that the AI can query and analyze.",{"name":68,"@type":59,"acceptedAnswer":69},"Can the AI modify the VC layout using the MCP server?",{"text":70,"@type":62},"No. The MCP server is designed to be read-only, so the AI can observe, query, and analyze in depth, while it cannot make structural modifications to the layout or simulation model. Reversible UI/viewport actions exist, such as selection and simulation controls.","https://schema.org",{"og:url":32,"og:type":73,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":75,"canonical":32},"index,follow",{"doc_id":77,"site_id":7},665423,1793302899,{"code":4,"msg":80,"data":81},"success",[82,86,90,94,99,103,108,113,118,121,125],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":83,"show_sort_weight":84,"slug":85},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":87,"show_sort_weight":88,"slug":89},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":91,"show_sort_weight":92,"slug":93},"Exam",70,"exam",{"id":95,"doc_module":4,"doc_module_name":25,"category_name":96,"show_sort_weight":97,"slug":98},5,"Comic",60,"comic",{"id":100,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":101,"slug":102},6,50,"technology",{"id":104,"doc_module":4,"doc_module_name":25,"category_name":105,"show_sort_weight":106,"slug":107},7,"Healthcare",40,"healthcare",{"id":109,"doc_module":4,"doc_module_name":25,"category_name":110,"show_sort_weight":111,"slug":112},8,"Research & Report",30,"research-report",{"id":114,"doc_module":4,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},9,"Religion & Spirituality",20,"religion-spirituality",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":119,"show_sort_weight":116,"slug":120},"World Cup","world-cup",{"id":122,"doc_module":4,"doc_module_name":25,"category_name":123,"show_sort_weight":122,"slug":124},10,"Lifestyle","lifestyle",{"id":126,"doc_module":4,"doc_module_name":25,"category_name":127,"show_sort_weight":95,"slug":128},19,"General","general",{"code":4,"msg":80,"data":130},{"doc_id":77,"user_id":131,"nickname":42,"user_avatar":11,"doc_module":4,"category_id":100,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":132,"file_id":133,"file_url":134,"file_type":135,"file_size":136,"view_count":4,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":114,"language":137,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":12,"update_tm":78,"read_time":141},8796093062539,"Inspector 3.0 with MCP Server—Quick Start Guide  \nWhat Is Inspector 3.0?  \nInspector is a simulation debugging and analysis add-on for Visual Components 5. Version 3.0 includes two major capabilities:  \n1. MCP Server—An embedded server that exposes your VC simulation data to AI agents like GitHub Copilot in VS Code. You can have natural language conversations about your layout, ask questions about robot programs, process flows, component connections, and much more—the AI reads your simulation data in real time.  \n2. Temporary Notes—A shared working memory between you and the AI agent. The AI can create rich notes with references to simulation objects, 3D positions, and simulation time points. Notes appear as interactive cards in a panel inside VC, with clickable badges that select objects, focus the camera, or jump to a specific simulation time.  \nWhat Is MCP?  \nMCP (Model Context Protocol) is an open standard created by Anthropic that lets AI assistants (like GitHub Copilot) connect to external data sources and tools. Think of it as a USB port for AI—it allows the AI to \"plug in\" to Visual Components and read your simulation data.  \nThe VC MCP server is a pure data provider—it does not use AI itself. All AI reasoning happens in VS Code via GitHub Copilot. The server simply exposes structured data about your simulation through a set of tools that the AI can call autonomously.  \nRead-Only by Design  \nThe MCP server is essentially read-only—the AI can observe, query, and analyze your simulation in depth, but it cannot modify your layout or simulation model. This is a deliberate safety decision: VC doesn't have a robust undo system, so letting an AI agent make structural changes could break things in subtle, hard-to-find ways.  \nThe few \"write\" operations that exist (select, camera, focus mode, simulation start/pause/reset) affect only UI/viewport state and are fully reversible. Your layout data is safe.  \nHow the AI Sees Your Simulation  \nThe AI works primarily with structured data. It reads properties, names, connections, programs, positions, and other data as structured text. When the AI \"looks at\" your layout, it is browsing a data hierarchy of components, behaviors, interfaces, and properties—similar to reading a detailed spreadsheet.  \nHowever, the AI can see images of your layout when your MCP client forwards tool-returned images to the model. Using the image tools, the AI can take screenshots of the 3D viewport and the application UI and analyze them visually. In GitHub Copilot, this depends on image-forwarding being enabled (it can be disabled by organization policy) . Modern models generally support vision, so the practical gate is usually client/policy configuration rather than model capability. It can also save screenshots to your workspace for documentation purposes.  \nYou (VS Code ) ←→ GitHub Copilot (AI) ←→ MCP Protocol ←→ VC Inspector (Data)  \n↑ ↑ ↑  \nYour prompt AI reasoning & Structured JSON from your  \nin natural tool selection live simulation data  \nlanguage  \nWhat Can You Do With It?  \nThe key idea is to use a capable modern AI model and issue complex, high-level tasks. The AI agent will autonomously discover and chain multiple tools—often making dozens of tool calls—to accomplish the task. A single prompt can trigger browsing, reading properties, running the simulation to multiple time points, taking screenshots, comparing states, and compiling the results.  \nComplex Workflow Examples  \nThese are the kinds of tasks where the MCP server really shines:  \nGenerate a complete layout documentation report as a markdown file . Include a mermaid diagram of the material flow , screenshots of each work cell , and atable of all robot programs and their routines . For each work cell screenshot , first capture an inline preview and verify framing/visibility , then adjust camera/view if needed and save the final documentation screenshot to file .  \nRun the simulation at t=0 , t=60 , t=120 , and t=300 . At each time point ","cbCaio4zF2T0s7Re","https://ap.wps.com/l/cbCaio4zF2T0s7Re","pdf",452813,"English","# What Is Inspector 3.0?\n## What Is MCP?\n## Read-Only by Design\n## How the AI Sees Your Simulation\n# What Can You Do With It?\n## Complex Workflow Examples\n## Simple Queries Work Too","[{\"question\":\"What are the two main capabilities included in Inspector 3.0?\",\"answer\":\"Inspector 3.0 includes an MCP Server for exposing VC simulation data to AI agents, and Temporary Notes that provide shared working memory with interactive cards and references to simulation objects and time points.\"},{\"question\":\"What does MCP (Model Context Protocol) do in this workflow?\",\"answer\":\"MCP is an open standard that lets AI assistants connect to external data sources and tools. In this context, it enables the Visual Components (VC) MCP server to provide structured simulation data that the AI can query and analyze.\"},{\"question\":\"Can the AI modify the VC layout using the MCP server?\",\"answer\":\"No. The MCP server is designed to be read-only, so the AI can observe, query, and analyze in depth, while it cannot make structural modifications to the layout or simulation model. Reversible UI/viewport actions exist, such as selection and simulation controls.\"}]","Inspector 3.0 with MCP Server - Quick Start Guide | PDF",23]