MCP server

Device House Official

house.device/device-house

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

device.house — words become circuits. Design devices: BoM, enclosure, firmware, routed PCB.

Working at last checkVerified publisher: device.houseAbout 1,761 tokens per request once connected21 tools

Website

https://device-house-mcp.fly.dev/mcp

At a glance

Type: MCP server
Publisher: device.house (verified by the MCP Registry)
Status: Working at last check
Tools: 21
Token cost: About 1,761 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http device-house https://device-house-mcp.fly.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.device-house]
url = "https://device-house-mcp.fly.dev/mcp"

Gemini CLI

{"mcpServers":{"device-house":{"httpUrl":"https://device-house-mcp.fly.dev/mcp"}}}

Cursor

{"mcpServers":{"device-house":{"url":"https://device-house-mcp.fly.dev/mcp"}}}

VS Code

{"servers":{"device-house":{"type":"http","url":"https://device-house-mcp.fly.dev/mcp"}}}

Antigravity

agy mcp add device-house https://device-house-mcp.fly.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"device-house","server_url":"https://device-house-mcp.fly.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"device-house","server_url":"https://device-house-mcp.fly.dev/mcp"}

Tools

autoroute ~75 tokens
2層オートルータで実配線し、配線率/ビア数のサマリを返す(盛らない=未配線はfailed)
compliance_check ~99 tokens
言葉から設計したデバイスの規制適合(技適/PSE/CE/FCC/RoHS+発注先+部品調達)を機械チェック。設計で制御可能な指標は判定、実世界の試験/申請は要対応で正直表示(盛らない)
eval_device ~74 tokens
言葉から設計したデバイスの生成品質を5軸(意図/部品/作れる/完成/正直)で採点
fab_order_package ~91 tokens
発注パッケージ概要(配線済みGerber+BOM+CPL+手順一式)。JLCPCBにアップロード→支払いで発注。盛らない=実支払いは人間ゲート
generate_device ~88 tokens
言葉(用途)からデバイスを設計し、BoM/筐体/価格/全軸スコアを返す
get_bom_csv ~82 tokens
JLCPCB形式のBOM CSV(Comment,Designator,Footprint,LCSC)を返す。LCSC番号は未検証のため空欄
get_firmware ~73 tokens
言葉から設計したデバイスのArduinoファーム雛形(.ino)を返す
get_kicad_netlist ~81 tokens
KiCadネットリスト(.net)を出力。KiCadに取り込んで検証済みフットプリント割当・配線・DRC=量産正規ルート
get_netlist ~70 tokens
配線ネットリスト(autorouteの入力)を返す
get_pcb_svg ~75 tokens
配線済みPCBの2層プレビュー(SVG・赤=表/青=裏/金=パッド/点線=未配線)を返す
get_placement ~69 tokens
JLCPCB部品配置(CPL CSV)を返す
list_archetypes ~50 tokens
device.houseが言葉から設計できるデバイス種別の一覧
list_catalog ~91 tokens
選べるデバイス・カタログ(bim.house等が家の部屋に置く用)。価格/寸法/推奨部屋/ディープリンク付き
manufacturing_readiness ~82 tokens
製造レディネス(正直な実体評価): 実フットプリント/LCSC/DRC/fits/配線。発注して動く基板にできるか
parts_add ~154 tokens
パーツを追加(ユーザーカタログに永続)。idは省略可(型番からslug生成)
parts_get ~63 tokens
id でパーツ1件取得
parts_list ~94 tokens
パーツ一覧(分類/インターフェイスでフィルタ可)
parts_remove ~70 tokens
パーツを削除(組み込みはtombstoneで非表示化・再追加で復活)
parts_search ~68 tokens
パーツをキーワード検索(型番/説明/用途)
parts_stats ~46 tokens
パーツ・カタログの概観(総数/分類別)
parts_update ~166 tokens
既存パーツを更新(組み込み部品の価格/調達先などの上書きも可)

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