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FoundryNet — Industrial Machine Intelligence

Server Details

Cross-OEM industrial machine intelligence: identity, normalization, automation, attestation.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
FoundryNet/forge-mcp
GitHub Stars
0
Server Listing
foundry net-industrial

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • Addedlist_agents
  2. 2 tool updates
    • Addedget_agent_card
    • Addedhealth_index
  3. 1 tool update
    • Removedverify_on_chain
  4. 1 tool update
    • Addedverify_record
  5. 5 tool updates
    • Addedcalculate_oee
    • Addeddiagnose_machine
    • Addedenergy_consumption
    • Addedfleet_oee
    • Addedshift_report
  6. 5 tool updates
    • Addeddetect_anomalies
    • Addedfleet_health
    • Addedmachine_intelligence
    • Addedpredict_batch
    • Addedprediction_accuracy
  7. 3 tool updates
    • Addedpredict
    • Addedpredict_breach
    • Addedremaining_life
  8. 14 tool updates
    • First observedactivate_automation
    • First observedcorrect_mapping
    • First observedcreate_automation
    • First observeddelete_automation
    • First observeddisable_automation
    • First observedfire_sandbox
    • First observedget_coverage
    • First observedidentify_machine
    • First observedlist_automations
    • First observednormalize_telemetry
    • First observedquery_machine_history
    • First observedquery_webhook_history
    • First observedrestore_automation
    • First observedverify_on_chain

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TDQS

A4.4/5.0
Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count4/5

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.

Completeness5/5

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.