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FoundryNet — Industrial Machine Intelligence

作者:FoundryNet版本 1.1.0i★ –i在云端运行
注册名称io.github.FoundryNet/forge-mcp

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://foundrynet-mcp-production.up.railway.app/mcp

在终端中运行这条命令

claude mcp add --transport http forge https://foundrynet-mcp-production.up.railway.app/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "forge": {
      "url": "https://foundrynet-mcp-production.up.railway.app/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "forge": {
      "type": "http",
      "url": "https://foundrynet-mcp-production.up.railway.app/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://foundrynet-mcp-production.up.railway.app/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 FoundryNet 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32433 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32433 个服务器的 12% 更新
  • 基础检查结果等于或优于此分类中其他 32433 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

FoundryNet — Industrial Machine Intelligence 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.1.0)于5个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Symantec Cloud DLP AIops

作者:AIops-tools

Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Forge by FoundryNet — 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 52 vendor packs in 20 verticals, plain-English automation, and tamper-evident work records.

Hosted MCP over Streamable HTTP. 36 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/*. 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 ▼ foundrynet-mcp on Railway │ gate: validate key → tier → cap → bind caller │ HTTPS, Authorization: Bearer │ X-Forge-Caller-Key-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 (36)

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
ENABLE_OAUTH_EXCHANGENodefault false: /oauth/token and its metadata answer 501 and JWTs are not accepted (G9). true re-enables the client-credentials flow
MCP_JWT_SECRETNowith the exchange enabled: unset = issuance answers 503; key auth unaffected
FORGE_BASE_URLNohttps://forge.foundrynet.io
PORTNo8080 (Railway sets this automatically)
REQUEST_TIMEOUTNo120 (seconds)

Files

  • mcp_server.py — the server (36 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

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