digital-twin-mcp
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- FlicenseNot gradedqualityDmaintenanceProvides 19 tools for discovery, data analysis, configuration, and simulation, enabling an agent to drive digital twin workflows with session persistence and knowledge graph capabilities.1-
- AlicenseAqualityBmaintenanceExposes live industrial IoT telemetry to any MCP client, streaming simulated sensor data from a fleet of machines and detecting anomalies, with the ability to inject faults on demand.4MIT
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TDQS
Scored across 6 tools
Each tool addresses a distinct concern: device enumeration, live metric read, historical metric retrieval, parameter write, alert checking, and a full scene snapshot. No two tools overlap in purpose, and the descriptions reinforce their boundaries.
All tool names follow the verb_noun pattern in snake_case (list_devices, get_device_metrics, get_metric_history, set_device_value, check_alerts, get_scene_snapshot). The pattern is predictable and consistent.
Six tools form a well-scoped set for a digital twin server, covering read, write, history, alerts, and snapshot use cases without bloat. The count is ideal for the domain and avoids both thin and heavy footprints.
The tool surface covers the full lifecycle of interacting with a simulated twin: listing devices, reading live metrics and history, writing values for control or fault injection, checking alerts, and obtaining a complete scene snapshot. No obvious gaps exist for the stated purpose.