streamable-httpupdated 28d ago
The cross-manufacturer industrial MCP server. Talk to any CNC, robot, or industrial machine in natural language — machine identity, telemetry normalization across 18 OEM families, plain-English automation, and tamper-evident work records.
Was kannst du mit FoundryNet — Industrial Machine Intelligence machen?
Forge by Foundry Labs — Industrial Machine Intelligence
The cross-manufacturer industrial MCP server. Talk to any CNC, robot, or industrial machine in natural language — machine identity, telemetry normalization across 18 OEM families, plain-English automation, and tamper-evident work records.
Hosted MCP over Streamable HTTP. 32 tools wrap the Forge v1 API: provision a stable machine identity, normalize raw OEM telemetry into a canonical schema, query operational history, parse and activate plain-English automations, predict failures (TimesFM), score fleet health, and record every state-changing action as a verifiable, tamper-evident work record.
- Website: https://foundrynet.io/?utm_source=github&utm_medium=readme&utm_campaign=forge-mcp-readme
- Docs: https://foundrynet.io/docs?utm_source=github&utm_medium=readme&utm_campaign=forge-mcp-readme · Free key: https://foundrynet.io/signup?utm_source=github&utm_medium=readme&utm_campaign=forge-mcp-readme
- MCP endpoint (Streamable HTTP):
https://mcp.foundrynet.io/mcp - Legacy SSE endpoint (still served):
https://mcp.foundrynet.io/sse - Health:
https://mcp.foundrynet.io/health - Server card:
https://mcp.foundrynet.io/.well-known/mcp/server-card.json
What it does
It normalizes raw OEM telemetry from 18 manufacturer families into one canonical vocabulary with thousands of confirmed field mappings — so an agent writes against one set of field names whether the machine is a Fanuc CNC, a KUKA arm, or a Universal Robots cobot. On top of that it turns plain-English instructions into structured automations (review then activate), and records every state-changing action as a tamper-evident work record.
Architecture
Pure HTTP proxy. Every tool is a thin wrapper around https://forge.foundrynet.io/v1/*
using a configured fnet_ Bearer key. No state, no shared imports with forge-prod —
separate Railway service, separate dependencies (fastmcp + httpx).
Claude Desktop / agent
│ Streamable HTTP (/mcp) — or legacy SSE (/sse)
▼
foundrynet-mcp on Railway
│ HTTPS + Bearer fnet_…
▼
forge.foundrynet.io/v1/*
Tools (32)
Identity & data: identify_machine, normalize_telemetry, query_machine_history,
get_coverage, correct_mapping. Automation: create_automation, activate_automation,
list_automations, disable_automation, delete_automation, restore_automation,
query_webhook_history. Prediction (TimesFM): predict, predict_breach, remaining_life,
predict_batch, fleet_health, detect_anomalies, machine_intelligence,
prediction_accuracy. Operations: calculate_oee, fleet_oee, energy_consumption,
shift_report, diagnose_machine, health_index. Guardrails: check_guardrail,
list_guardrails. Agents on your kernel: get_agent_card,
list_agents. Work records: verify_record. Demo: fire_sandbox (the full watch → fire →
settle loop, no card).
get_agent_card and list_agents are scoped to the agents connected to your kernel instance
(their capabilities, trust scores, and machine access) and are included in your subscription —
there is no per-call charge. They are operational tools for coordinating agents on your own
equipment, not cross-platform discovery. For cross-platform agent trust across any framework,
see Assay (assay.foundrynet.io). verify_record creates a tamper-evident, hash-verified record
of completed work.
Free tier exposes the read-only tools; metered pay-per-use unlocks the premium prediction and diagnostics tools (see https://forge.foundrynet.io/pricing?utm_source=github&utm_medium=readme&utm_campaign=forge-mcp-readme).
Connect (Claude Desktop, Cursor, any MCP client)
claude mcp add --transport http foundrynet-forge \
https://mcp.foundrynet.io/mcp \
--header "Authorization: Bearer fnet_YOUR_KEY"
Or via claude_desktop_config.json with the mcp-remote bridge:
{
"mcpServers": {
"foundrynet-forge": {
"command": "npx",
"args": ["-y", "mcp-remote",
"https://mcp.foundrynet.io/mcp",
"--header", "Authorization:Bearer ${FNET_KEY}"],
"env": { "FNET_KEY": "fnet_… (get a free key at foundrynet.io/signup)" }
}
}
}
Legacy SSE (--transport sse against https://mcp.foundrynet.io/sse) remains supported for
existing configs, but new integrations should use the Streamable HTTP /mcp endpoint above.
Get a free fnet_ key at https://foundrynet.io/signup?utm_source=github&utm_medium=readme&utm_campaign=forge-mcp-readme (50 normalize calls, no card).
Required environment (server-side)
| Var | Required | Default |
|---|---|---|
FOUNDRYNET_API_KEY |
Yes | — (server boots; tool calls return 401 until set) |
FORGE_BASE_URL |
No | https://forge.foundrynet.io |
PORT |
No | 8080 (Railway sets this automatically) |
REQUEST_TIMEOUT |
No | 30 (seconds) |
Files
mcp_server.py— the server (32 tools +/health+/.well-known/mcproutes)gating.py— per-client tier gating (Free vs Pro tool/quota enforcement)server.json— MCP registry metadata (name, description, keywords, remote endpoint)smithery.yaml— Smithery listing metadatarequirements.txt—fastmcp>=2.0,httpx>=0.27Procfile— Railway start command (web: python mcp_server.py)
License
Proprietary (commercial). © Foundry Labs LLC. Contact: forge@foundrynet.io
Installation
FoundryNet — Industrial Machine Intelligence zu deinem Client hinzufügen. Wähl den, den du nutzt.
claude mcp add --transport http foundrynet-industrial-machine-intelligen https://foundrynet-mcp-production.up.railway.app/mcpcodex mcp add foundrynet-industrial-machine-intelligen --url https://foundrynet-mcp-production.up.railway.app/mcp{
"mcpServers": {
"foundrynet-industrial-machine-intelligen": {
"url": "https://foundrynet-mcp-production.up.railway.app/mcp"
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
{
"servers": {
"foundrynet-industrial-machine-intelligen": {
"type": "http",
"url": "https://foundrynet-mcp-production.up.railway.app/mcp"
}
}
}Add to `.vscode/mcp.json` in your workspace.
{
"mcpServers": {
"foundrynet-industrial-machine-intelligen": {
"url": "https://foundrynet-mcp-production.up.railway.app/mcp"
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"foundrynet-industrial-machine-intelligen": {
"serverUrl": "https://foundrynet-mcp-production.up.railway.app/mcp"
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
Score
39 / 100
Unvollständig
- Dokumentation25/25
- Pflege19/25
- Vertrauen6/20
- Funktionsumfang0/15
- Installation12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 21 days ago
- Has a release history
- Repository is not archived
- No licence detected
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 0 tool(s) documented
- Provides prompt templates
- Provides resources
- 6 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
Versionsverlauf
| Versionen | Veröffentlicht |
|---|---|
| 1.1.0Aktuell | 9. Juni 2026 |