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Connect and normalize cross-OEM machine data for automation and trusted verification.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "FoundryNet — Industrial Machine Intelligence" MCP server from askskill: Run: claude mcp add --transport http 'io-github-foundrynet-forge-mcp' 'https://foundrynet-mcp-production.up.railway.app/mcp'
Connect industrial machine data sources from different OEMs, identify each machine, and normalize fields like temperature, RPM, and alarms into a unified JSON model. Output the field mapping as well.
A unified machine data schema plus mappings from each OEM’s original fields to the standard fields.
Using production line machine status data, create automation rules: when vibration exceeds the threshold for 10 consecutive minutes, generate an alert, log an event, and trigger a maintenance work order.
Executable automation rule definitions including triggers, action steps, and event logging logic.
Perform trust verification on incoming industrial machine telemetry by confirming device identity, data origin, and timestamp integrity, then flag suspicious records.
A verification report showing which machine records passed attestation and which were flagged, with reasons.
Give AI agents structured access to networking standards, device databases, and security data.
Connect industrial protocols to collect governed OT data and automate operations.
Create parametric CAD, run DFM checks, get quotes, and order prints in chat.
Monitor industrial process data and get anomaly analysis with actionable recommendations.
Analyze industrial chains with enterprise search, patents, bidding, and supply data.
Query FIS IntelliMatch reconciliation data in natural language, read-only.