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Explore digital twin learner metamodels and securely manage twin data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Digital Twin MCP Server" yet — see the docs or source repo.
Connect to the Digital Twin MCP Server and list the core entities, attributes, relationships, and meanings in the learner digital twin metamodel, then summarize them in a table.
A clear metamodel overview with entity relationships and a field definition table.
Query the specified learner’s digital twin data from the Digital Twin MCP Server, summarize learning status, key metrics, and recent changes, and note the accessible scope.
A learner twin data summary including status analysis, metric changes, and access scope details.
Check my access permissions for the target digital twin record; if allowed, update the specified fields and return the change result with an audit note; if not, explain why.
Permission check results, plus either an updated record summary or the reason for denial.
Monitor EV battery health, predict lifespan, and analyze fleets with digital twins.
Monitor industrial process data and get anomaly analysis with actionable recommendations.
Build, debug, and manage software tasks with natural language across LLMs.
Simulate dynamic actions for any query with persistent state across sessions.
Search, inspect, trace, and read business data assets across internal platforms.
Connect to the mcp API via MCP to extend AI tool capabilities.