Server Name
FoundryNet
What does this server do?
FoundryNet lets AI agents talk to industrial machines. It normalizes
raw telemetry from any CNC, robot, or industrial equipment (Fanuc,
Siemens, Haas, DMG Mori, Komatsu, Mazak, ABB, KUKA, Universal Robots)
into a universal canonical schema, enables natural language automations
(alert on conditions, trigger webhooks to ERP/CMMS/MES/Slack), and
verifies everything on Solana mainnet.
Tools (11)
identify_machine — Provision persistent identity for any industrial machine
normalize_telemetry — Map raw OEM telemetry to universal canonical schema
query_machine_history — Retrieve operational history and health trends
create_automation — Parse natural language into automation triggers
activate_automation — Arm a parsed trigger after user confirmation
list_automations — Show all active triggers on a machine
disable_automation — Pause a trigger without deleting
delete_automation — Soft-delete with 30-day restore window
restore_automation — Recover a deleted trigger
query_webhook_history — Audit webhook delivery status and errors
verify_on_chain — Anchor data on Solana mainnet with Merkle proof
Transport
SSE
Endpoint
https://foundrynet-mcp-production.up.railway.app/sse
Source Code
https://github.com/FoundryNet (server source to be published)
Categories
Industrial, Manufacturing, IoT, Automation, CNC, Robotics, Telemetry
Why this server matters
There are currently zero MCP servers that handle cross-manufacturer
industrial data normalization or natural language factory automation.
Existing industrial MCP servers (Litmus, OPC UA, PolyMCP) handle
machine connectivity — getting data off PLCs. FoundryNet handles
machine intelligence — making that data universally understandable
and actionable across any business system.
Demo
Verified end-to-end in Claude Desktop: machine identification on
Solana mainnet, telemetry normalization at 100% field coverage,
natural language trigger creation with sustained thresholds,
webhook execution with HMAC signing, Merkle-batched on-chain
settlement. Full smoke test passed 8/8 on production.
Contact
foundrynet@proton.me
Server Name
FoundryNet
What does this server do?
FoundryNet lets AI agents talk to industrial machines. It normalizes
raw telemetry from any CNC, robot, or industrial equipment (Fanuc,
Siemens, Haas, DMG Mori, Komatsu, Mazak, ABB, KUKA, Universal Robots)
into a universal canonical schema, enables natural language automations
(alert on conditions, trigger webhooks to ERP/CMMS/MES/Slack), and
verifies everything on Solana mainnet.
Tools (11)
identify_machine— Provision persistent identity for any industrial machinenormalize_telemetry— Map raw OEM telemetry to universal canonical schemaquery_machine_history— Retrieve operational history and health trendscreate_automation— Parse natural language into automation triggersactivate_automation— Arm a parsed trigger after user confirmationlist_automations— Show all active triggers on a machinedisable_automation— Pause a trigger without deletingdelete_automation— Soft-delete with 30-day restore windowrestore_automation— Recover a deleted triggerquery_webhook_history— Audit webhook delivery status and errorsverify_on_chain— Anchor data on Solana mainnet with Merkle proofTransport
SSE
Endpoint
https://foundrynet-mcp-production.up.railway.app/sse
Source Code
https://github.com/FoundryNet (server source to be published)
Categories
Industrial, Manufacturing, IoT, Automation, CNC, Robotics, Telemetry
Why this server matters
There are currently zero MCP servers that handle cross-manufacturer
industrial data normalization or natural language factory automation.
Existing industrial MCP servers (Litmus, OPC UA, PolyMCP) handle
machine connectivity — getting data off PLCs. FoundryNet handles
machine intelligence — making that data universally understandable
and actionable across any business system.
Demo
Verified end-to-end in Claude Desktop: machine identification on
Solana mainnet, telemetry normalization at 100% field coverage,
natural language trigger creation with sustained thresholds,
webhook execution with HMAC signing, Merkle-batched on-chain
settlement. Full smoke test passed 8/8 on production.
Contact
foundrynet@proton.me