Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Unofficial. Status, AMS filament, print control and maintenance for Bambu Lab 3D printers via LAN
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
BAMBU_IP, BAMBU_SERIAL, BAMBU_ACCESS_CODE, BAMBU_READ_ONLY「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"for-bambu": {
"command": "npx",
"args": [
"-y",
"mcp-server-for-bambu"
],
"env": {
"BAMBU_IP": "your-value",
"BAMBU_SERIAL": "your-value",
"BAMBU_ACCESS_CODE": "your-value",
"BAMBU_READ_ONLY": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add for-bambu --env BAMBU_IP=your-value --env BAMBU_SERIAL=your-value --env BAMBU_ACCESS_CODE=your-value --env BAMBU_READ_ONLY=your-value -- npx -y mcp-server-for-bambu動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"for-bambu": {
"command": "npx",
"args": [
"-y",
"mcp-server-for-bambu"
],
"env": {
"BAMBU_IP": "your-value",
"BAMBU_SERIAL": "your-value",
"BAMBU_ACCESS_CODE": "your-value",
"BAMBU_READ_ONLY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"for-bambu": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-server-for-bambu"
],
"env": {
"BAMBU_IP": "your-value",
"BAMBU_SERIAL": "your-value",
"BAMBU_ACCESS_CODE": "your-value",
"BAMBU_READ_ONLY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
BAMBU_IP envBAMBU_SERIAL envBAMBU_READ_ONLY envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント b84330808 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:BAMBU_ACCESS_CODE
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.3.0)がレジストリに届いたのは12 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Ask Claude (or Cursor, or VS Code) what your Bambu Lab printer is doing, and have it pause, preheat or log maintenance, over your LAN with no cloud.
An MCP server for Bambu Lab 3D printers. It talks to the printer directly over its local MQTT interface. Built and tested against the P1S; other MQTT-speaking models (P1P, X1C, A1) should work.
⚠️ Unofficial — not affiliated with Bambu Lab
This is a community-built project. It is not affiliated with, endorsed by, or sponsored by Bambu Lab / Shenzhen Tuozhu Technology Co., Ltd. "Bambu Lab", "Bambu Studio", "P1S", "P1P", "X1C", and "AMS" are trademarks of their respective owners; references in this project are descriptive only (nominative fair use), made for compatibility purposes. Provided "as is" with no warranty.
*Real tool calls and output, run against the built-in printer simulator (npm run sim). Regenerate with scripts/demo/; docs/demo-script.md covers recording a session with a real printer.*
| Live status | State, current stage, progress, layer, time left, nozzle/bed/chamber temperatures, Wi-Fi signal |
| AMS | Filament type, brand, color and remaining % per slot, plus the active slot |
| Health | Active HMS warnings decoded to module and severity, each with its Bambu wiki link |
| Control | Pause, resume, cancel, chamber light, speed profile, preheat, AMS slot switch, raw G-code |
| Maintenance ledger | Counts print-hours locally and tells you when rails, carbon rods or the hotend are due |
| Guided setup | No config editing: tell Claude your IP, serial and access code; it tests them before saving |
| Safety | Cancel, G-code and AMS switch need explicit confirmation; read-only mode; LAN addresses only |
| Works anywhere MCP does | Claude Code plugin, Claude Desktop, Cursor, VS Code, any stdio MCP client |
| Printer simulator | npm run sim starts a fake printer for trying it out, demos and tests |
You need Node.js 20+ and a printer on the same network with LAN Mode Liveview turned on.
Install the plugin (MCP server plus a short skill that teaches Claude the confirmation rules):
/plugin marketplace add b84330808/mcp-server-for-bambu
/plugin install bambu-printer@mcp-server-for-bambu
Or add just the MCP server:
claude mcp add --transport stdio --scope user bambu -- npx -y mcp-server-for-bambu
Open Settings → Developer → Edit Config (%APPDATA%\Claude\claude_desktop_config.json on Windows, ~/Library/Application Support/Claude/claude_desktop_config.json on macOS) and add:
{
"mcpServers": { "bambu": { "command": "npx", "args": ["-y", "mcp-server-for-bambu"] } } }
Fully quit Claude Desktop (tray icon → Quit) and reopen it.
Or put this in ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):
{
"mcpServers": { "bambu": { "command": "npx", "args": ["-y", "mcp-server-for-bambu"] } } }
code --add-mcp "{\"name\":\"bambu\",\"type\":\"stdio\",\"command\":\"npx\",\"args\":[\"-y\",\"mcp-server-for-bambu\"]}"
Or add it to .vscode/mcp.json. This version passes the credentials as env vars and asks for the access code as a hidden input:
{
"inputs": [ { "type": "promptString", "id": "bambu-access-code", "description": "Bambu LAN access code (Settings > WLAN > LAN Mode Liveview)", "password": true } ], "servers": { "bambu": { "type": "stdio", "command": "npx", "args": ["-y", "mcp-server-for-bambu"], "env": { "BAMBU_IP": "192.168.1.50", "BAMBU_SERIAL": "01P00A1234567890", "BAMBU_ACCESS_CODE": "${input:bambu-access-code}" } } } }
All of these are in examples/.
On first start the server is in setup mode and offers one tool, setup_printer. Read three values off the printer's touchscreen:
Settings → WLAN → tap the connected networkSettings → Device → Device Info (P1S: 01P00A…)Settings → WLAN → LAN Mode Liveview, 8 characters, not the Wi-Fi password. LAN Mode Liveview must be ON.Then tell your assistant:
"Set up my Bambu printer. IP is 192.168.1.50, serial 01P00A1234567890, access code 12345678."
setup_printer checks the format, connects to the printer, and saves the credentials only if the connection works. Restart the server once (Claude Desktop: quit and reopen; Claude Code: /mcp → reconnect bambu) and the printer tools appear.
You can skip this and pass BAMBU_IP, BAMBU_SERIAL and BAMBU_ACCESS_CODE as env vars instead, as in the VS Code example.
| Tool | What it does | Asks first? |
|---|---|---|
get_status | State, stage, temperatures, progress, layer, HMS warnings, Wi-Fi | |
get_ams_info | Per-slot filament type / color / remaining %, active slot | |
list_active_warnings | Active HMS warnings with links to Bambu's wiki | |
get_maintenance_status | Print-hours and lube / clean / inspect warnings | |
forecast_maintenance | When each maintenance task will be due at your recent print rate | |
get_recent_prints | Last N print sessions: name, duration, finish time | |
mark_maintenance_done | Log a maintenance task (optionally back-dated by hours_ago) | |
pause_print / resume_print | Pause and resume the current print | |
set_light | Chamber light on/off | |
set_speed | silent / standard / sport / ludicrous | |
preheat | Set nozzle and/or bed target temperature | |
stop_print | Cancel the print. Not reversible | yes (confirm: true) |
run_gcode | Send raw G-code (homing, Z moves, manual unload…) | yes (confirm: true) |
change_active_tray | Switch the AMS to another slot | yes (confirm: true) |
Every tool also carries MCP annotations (readOnlyHint, destructiveHint), so clients that ask before running tools can treat the read tools and the destructive ones differently.
This server can move a heated toolhead and cancel hours of printing. It is built to make that hard to do by accident:
stop_print, run_gcode and change_active_tray refuse to run unless called with confirm: true, and their descriptions tell the model to set it only after you agree in plain words. Keep your client's own tool-approval prompts on as a second check.BAMBU_READ_ONLY=1 and the server registers only the read tools. Nothing can pause, cancel, heat or move the printer. A good default for a shared machine or a demo.setup_printer rejects addresses outside private ranges (192.168.x.x, 10.x.x.x, 172.16–31.x.x, plus link-local, loopback and the 100.64/10 range Tailscale uses). Never forward the printer's MQTT port to the internet.preheat and M104/M140 leave the heaters at the target until something changes them. Turn them off (set 0) before you walk away.| Env var | Default | Meaning |
|---|---|---|
BAMBU_IP, BAMBU_SERIAL, BAMBU_ACCESS_CODE | from the saved .env | Printer credentials. Env vars win over the saved file |
BAMBU_READ_ONLY | 0 | 1 registers only the read tools |
BAMBU_CONFIG_DIR | see below | Where the .env and the maintenance ledger live |
MAINTENANCE_LEDGER_PATH | /maintenance.json | Ledger file location |
The config directory is:
%APPDATA%\mcp-server-for-bambu\~/Library/Application Support/mcp-server-for-bambu/~/.config/mcp-server-for-bambu/ (or $XDG_CONFIG_HOME)Versions up to 0.2.0 kept .env and maintenance.json inside the installed package, where npx updates could delete them. 0.3.0 still reads an old .env from there and copies an old ledger into the config directory on first start.
The ledger persists to a local JSON file and survives crashes (active sessions are checkpointed every 5 elapsed minutes). Thresholds are in src/types.ts:
| Task | Interval |
|---|---|
| Clean carbon rods | 100 print-hours |
| Lubricate linear rails | 200 print-hours |
| Inspect hotend / nozzle wear | 500 print-hours |
A task flips to DUE_SOON (🔔) within 10 hours of the threshold and OVERDUE (⚠️) past it.
npm run sim (from a clone, after npm install) starts a simulated P1S halfway through a Benchy, with a 4-slot AMS, on mqtts://127.0.0.1:8883. It answers status requests and applies pause, resume, cancel, speed, preheat, light and AMS commands. Point the server at it:
BAMBU_IP=127.0.0.1 BAMBU_SERIAL=01P00ASIMULATOR BAMBU_ACCESS_CODE=12345678 node dist/index.js
Set SIM_PORT to use another port, then pass the same value as BAMBU_MQTT_PORT. The test suite uses the same simulator.
git clone https://github.com/b84330808/mcp-server-for-bambu.git
cd mcp-server-for-bambu npm install npm test # builds, then runs unit + end-to-end tests against the simulator npm run dev # tsc --watch npm run sim # simulated printer
To run your local build from an MCP client, point it at node /absolute/path/to/mcp-server-for-bambu/dist/index.js.
src/
index.ts MCP server bootstrap + tool definitions config.ts Env / .env loading, LAN address check paths.ts Per-user config directory mqtt-client.ts TLS MQTT client for the printer (port 8883, self-signed cert) setup.ts setup_printer: validate, test the connection, save maintenance.ts Print-time ledger with crash-safe atomic writes + recovery hms.ts Bambu HMS error code → human label stages.ts Stage / speed / tray code → human label commands.ts MQTT command payloads sim/printer.mjs Simulated printer (aedes broker over TLS) plugins/ Claude Code plugin; .claude-plugin/marketplace.json lists it server.json MCP Registry metadata
Protocol notes:
device/{serial}/reportdevice/{serial}/request with {"pushing":{"sequence_id":"...","command":"pushall"}}bblp, password = access code, a random client冒頭だけを表示しています。続きはリポジトリで読めます