FoundryNet — Industrial Machine Intelligence
Server Details
Cross-OEM industrial machine intelligence: identity, normalization, automation, attestation.
Claim FoundryNet — Industrial Machine Intelligence
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- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- FoundryNet/forge-mcp
- GitHub Stars
- 0
- Server Listing
- foundry net-industrial
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Tool Definition Quality
Average 4.5/5 across 30 of 30 tools scored. Lowest: 3.7/5.
Every tool targets a distinct action or resource. Automation lifecycle tools are clearly differentiated (create, activate, delete, disable, restore, list). Prediction tools (predict, predict_batch, predict_breach, remaining_life) have unique purposes. Even the composite machine_intelligence tool is distinct as a single-call alternative. No overlap or ambiguity.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., activate_automation, detect_anomalies, list_automations). The naming is predictable and intuitive, making it easy for an agent to infer functionality from the name alone.
With 30 tools, the set is on the heavier side but well-justified for a comprehensive industrial machine intelligence platform covering identity, normalization, automation, predictions, health assessment, fleet management, and verification. Each tool earns its place without feeling bloated.
The tool surface is remarkably complete, covering the full lifecycle: machine identity (identify_machine), data normalization (normalize_telemetry, correct_mapping), automation (CRUD + lifecycle), predictions (single, fleet, breach, remaining life, accuracy), health (OEE, energy, health index, fleet health, anomaly detection, diagnosis), history queries, verification, and shift reports. No obvious gaps for the stated purpose.
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