FoundryNet — Industrial Machine Intelligence

Registre officiel Autres

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

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code
claude mcp add --transport http foundrynet-industrial-machine-intelligen 'https://foundrynet-mcp-production.up.railway.app/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "foundrynet-industrial-machine-intelligen": {
            "type": "http",
            "url": "https://foundrynet-mcp-production.up.railway.app/mcp"
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Forge by Foundry Labs — Industrial Machine Intelligence
  2. What it does
  3. Architecture
  4. Tests and the release gate
  5. Deploying
  6. Tools (32)
  7. Connect (Claude Desktop, Cursor, any MCP client)
  8. Required environment (server-side)
  9. Files
  10. License

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 46 vendor packs in 20 verticals, 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.

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/*. 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)
        │ Authorization: Bearer <the CALLER's Forge API key>
        ▼
  foundrynet-mcp on Railway
        │ gate: validate key → tier → cap → bind caller
        │ HTTPS, Authorization: Bearer <the SAME caller's key>
        │        X-Forge-Caller-Key-Id: <their forge_api_keys.id>
        ▼
  forge.foundrynet.io/v1/*  — scopes every row to that caller

Tenancy. The upstream call is made as the CALLER, not as this server. It used to be made with the server's own FOUNDRYNET_API_KEY for every caller, with no caller named: forge-prod scopes rows to the authenticated key's owner, so every MCP tenant read and wrote inside one shared Forge account — and fleet_oee, shift_report, list_agents and prediction_accuracy take no machine argument, so they returned that whole account. The upstream hop now REFUSES to run when it cannot name the caller: there is no fallback, because the only fallback is the shared key. OAuth access tokens carry a key id but not a key, so they cannot be presented upstream and are refused on tool calls with tenant_context_unavailable.

POST /a2a/tasks and GET /a2a/agents go through the same gate function (gating.enforce_call) as tools/call, by skill→tool mapping. They previously authenticated the caller and then dispatched with no tier check, no cap and no payment gate, which made the A2A route a free pass to the paid inference tools.

Tests and the release gate

python3 -m venv .venv && .venv/bin/pip install -r requirements.txt pytest pytest-asyncio
.venv/bin/python -m pytest tests/ -q        # 229 checks
scripts/release_gate.sh                     # tree, deps, import, suite, version

The suite drives the real ASGI app over real Streamable HTTP through the real gate; only Supabase and the upstream hop are substituted, and the upstream substitute RECORDS requests, because what identity this server presents to forge-prod is the thing most worth asserting. tests/test_rest_mcp_parity.py measures free-tier parity against forge-prod's own _endpoint_to_billing_meter, read out of its source at test time rather than copied.

CI runs the whole tree on every push and pull request (.github/workflows/release-gate.yml, pinned to ubuntu-24.04): measured 223 passed, 6 skipped, 229 collected in 2m04s. The 6 skips are the checks that read forge-prod's api.py off the local disk — 5 parity plus the cost-ledger single-writer check — and they skip loudly, with their reason printed, because forge-prod is a separate private repo and is not on the runner. A visible skip beats a green tick over a check that was quietly dropped.

Deploying

cd ~/forge-mcp && git checkout main && git pull --ff-only && ./deploy.sh

Never railway up by hand. deploy.sh does seven things in order, and five of them exist because of a specific way a deploy has gone wrong:

  1. refuses a dirty tree or a branch that is not main — railway up uploads the WORKING TREE, so with uncommitted changes no commit describes what ships;
  2. runs scripts/release_gate.sh and refuses if it is red. There is no override flag, deliberately;
  3. takes a deploy lock (~/.forge-mcp-deploy.lock, atomic mkdir) so two concurrent deploys cannot race on the upload and on the verification;
  4. refuses if railway up would archive the wrong directory. It archives the CLOSEST LINKED project directory from ~/.railway/config.json, walking UP — not $PWD. This directory once inherited $HOME's link, which names a DIFFERENT SERVICE;
  5. runs stamp_build.py, which writes build_info.json (commit, dirty state, content_hash over the uploaded file set, build time);
  6. railway up --service 162115b7-… — the id is explicit, because a bare railway up resolves the service from that same ancestor link;
  7. polls https://mcp.foundrynet.io/health until build.commit_short AND build.content_hash both equal the stamp it just wrote, then asserts the status. Railway reporting SUCCESS only means the upload and build succeeded — a crash-looping new container leaves the OLD one serving and the deploy looks fine. content_hash is checked as well as the commit because railway up uploads a tree: the same commit with a different tree is a different deployment.

/health carries a build block using the same key names as forge-prod's, so one verifier reads both services. When build_info.json is absent it says so in words — build_info.json absent — deploy did not run stamp_build.py, with commit, content_hash and built_at present and null — because a null that looks like a missing field is indistinguishable from a stamped build.

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)

VarRequiredDefault
FOUNDRYNET_API_KEYNo longer used on the tool pathKept for the boot-time config report only; tool calls run as the caller's own key
SUPABASE_URL / SUPABASE_SERVICE_KEYYes for gatingunset = gating disabled, fail-open
MCP_JWT_SECRETNounset = OAuth token issuance disabled (503), key auth unaffected
FORGE_BASE_URLNohttps://forge.foundrynet.io
PORTNo8080 (Railway sets this automatically)
REQUEST_TIMEOUTNo120 (seconds)

Files

  • mcp_server.py — the server (32 tools + /health + /.well-known/mcp routes)
  • 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 metadata
  • requirements.txt — fastmcp>=3.4.5,<4, httpx>=0.27, PyJWT>=2.14.0, supabase, stripe
  • tests/ — the behavioural suite (auth, tenancy, parity, idempotency, cache scope)
  • scripts/release_gate.sh — must be green on the exact commit before a deploy
  • deploy.sh — the only path to production; gated, locked, stamped and verified
  • stamp_build.py — writes build_info.json; what /health's build block reports
  • Procfile — Railway start command (stamps, then python mcp_server.py)
  • .github/workflows/release-gate.yml — CI; the whole suite on push and PR

License

Proprietary (commercial). © Foundry Labs LLC. Contact: foundrynet@proton.me

Questions fréquentes

Qu'est-ce que FoundryNet — Industrial Machine Intelligence ?

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

Comment installer FoundryNet — Industrial Machine Intelligence ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http foundrynet-industrial-machine-intelligen 'https://foundrynet-mcp-production.up.railway.app/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour FoundryNet — Industrial Machine Intelligence ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

FoundryNet — Industrial Machine Intelligence est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient FoundryNet — Industrial Machine Intelligence ?

Il est publié par FoundryNet. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.