CNC / MACHINE TOOL · TELEMETRY NORMALIZATION
16,908 confirmed mappings·18 OEM families·14 protocols·91% field coverage
Forge turns raw Trumpf tags into one clean, governed schema your AI agent already understands. One MCP call, no per-machine integration project.
Trumpf sheet-metal machines expose data through the OPC UA-based Trumpf ecosystem and MQTT, with laser-specific tags that don't fit generic CNC schemas until they're mapped.
Typical Trumpf equipment communicates over OPC UA, MQTT Sparkplug B. Each firmware revision, model line and integrator names the same physical quantity differently, so every AI or analytics project pays the integration tax again, the tax that cancels 40% of industrial AI deployments before they ship.
Forge normalizes Trumpf telemetry into Forge's canonical field set, the same 366 canonical fields used across all 18 manufacturers. Point Forge at the machine, pass oem: "trumpf", and spindle speed is spindle_speed_rpm whether it came from a Trumpf controller or anything else on the floor.
Confirmed canonical fields your agent gets from Trumpf machines, drawn from Forge's 16,908-mapping corpus:
| Raw tag in | Canonical field out | Meaning | |
|---|---|---|---|
| spindle_rpm: 4200 | → | spindle_speed_rpm: 4200 | actual spindle speed |
| sp_load_pct: 63 | → | spindle_load_pct: 63 | spindle load |
| active_prog: "TRUMPF-01" | → | program_name: "TRUMPF-01" | active program |
| part_ct: 1540 | → | part_count: 1540 | part count |
No SDK, no per-tag mapping, no historian project. Connect the MCP server and normalize live Trumpf data:
Unknown tags never get force-mapped. Fields below the confidence floor abstain rather than guess, so your agent never acts on a bad reading.