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)
On-device MCP tools for macOS: local AI, speech, vision, browser automation, system control.
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。
作者はレジストリにインストール情報を載せていません。下にある作者のREADMEをご覧ください。
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6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 ModelPiper 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。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
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(0.0.10-beta)がレジストリに届いたのは21 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。
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。
400+ Model Context Protocol tools, all running on-device. ToolPiper is a native macOS app that turns your Mac into a local AI platform: bundled inference (llama.cpp on Metal, Apple Intelligence, speech on the Neural Engine), an OpenAI-compatible API at localhost:9998, and a built-in MCP server that exposes the whole machine to any MCP client: Claude Code, Cursor, Codex, or your own scripts.
No cloud required for local models. No Docker. No Python. No API keys. Your prompts, files and outputs stay on your Mac, and you can check what ToolPiper connects to yourself: lsof -i -P | grep ToolPiper while it runs.
This repository is the official home for ToolPiper's MCP server manifest (
server.json), the Claude Code plugin (plugins/toolpiper), and the setup guides. The ToolPiper app itself is not open source, but its privacy claims do not ask for trust: every byte of network traffic is observable on your own machine. Open-source siblings live in this org: PiperSR (ANE super-resolution model), FluidAudio, mlx-audio-swift.
Install ToolPiper, launch it once, then connect any MCP client over Streamable HTTP. Loopback connections need no auth: no token, no OAuth step.
Download the disk image from modelpiper.com/download, or install with Homebrew:
brew tap modelpiper/tap
brew trust modelpiper/tap brew install --cask toolpiper
The trust line is required once: Homebrew 6 refuses casks from taps outside its own until you trust them.
Claude Code, as a plugin (one server entry, nothing to configure by hand):
claude plugin marketplace add ModelPiper/toolpiper
claude plugin install toolpiper@modelpiper
Claude Code, as a manual server:
claude mcp add --transport http toolpiper http://127.0.0.1:9998/mcp
Codex, as a plugin:
codex plugin marketplace add ModelPiper/toolpiper
codex plugin add toolpiper@modelpiper
Or as a manual server: codex mcp add toolpiper --url http://127.0.0.1:9998/mcp. Codex signs in to ToolPiper once; approve ToolPiper's consent page when it appears.
Any other MCP client, in its server configuration:
{
"mcpServers": { "toolpiper": { "type": "http", "url": "http://127.0.0.1:9998/mcp" } } }
Claude Desktop, as a one-click extension: download toolpiper-1.0.0.mcpb from Releases and double-click it; Claude Desktop shows its install sheet. The JSON block above does not apply to Claude Desktop, whose config file runs local stdio servers only. Source, build script and privacy statement: desktop-extension/. It is a small Node.js forwarder that relays Claude Desktop's stdio to the same loopback server, and it serves the directory profile: the catalog minus every tool that uses an AI model to generate images, video or audio.
Installing with an AI agent? Point it at llms-install.md.
400+ tools, 5 resources, and 5 workflow prompts. Names follow _ (vision_ocr, system_window_snap, browser_assert). The live catalog, with per-tool documentation, is at modelpiper.com/mcp-tools.
| Category | Examples | What it covers |
|---|---|---|
| Core AI | chat, audio_transcribe, audio_speak, text_embed | Local LLM inference, speech-to-text and text-to-speech on the Neural Engine, embeddings |
| Apple frameworks + RAG | vision_ocr, image_analyze, text_analyze, rag_query | Apple Vision OCR, image analysis, natural-language analysis, hybrid HNSW + BM25 document search |
| Browser automation | browser_snapshot, browser_action, browser_assert, browser_intercept | Chrome via CDP: AX-tree snapshots, self-healing selectors, network mocking, Web Vitals, coverage |
| Testing | test_run, test_save, test_export | Saved browser test sessions, fast replay, Playwright/Cypress export |
| System actions | system_* | Windows, Spaces, clipboard (with OCR'd history), audio, displays, Finder, Calendar, Reminders, Contacts, notifications, processes, network, Bluetooth, Shortcuts, and more |
| Video creator | video_record, video_render, video_edit_timeline | Screen-recorded screenplays, non-destructive timeline editing, OTIO/FCP XML/EDL export |
| Outreach | hn_search, reddit_search, github_compare, gsc_analytics | HN, Reddit, GitHub, Google Search Console |
| Model management | model_search, model_download, model_load | Search HuggingFace, download GGUF/CoreML, load/unload |
| Routing + integrations | endpoint_set, endpoint_recommend, claude_code_install | Switch inference endpoints per session, Claude Code helper install |
Resources: toolpiper://status, toolpiper://models, toolpiper://backends, toolpiper://tests, toolpiper://categories Prompts: setup-model, audit-page, create-test, voice-over, research-topic
Don't want the whole catalog in context? Pass category or profile as a query parameter on the /mcp URL. Both the tool list and the server instructions trim to match:
# Just LLM inference (core category)
claude mcp add --transport http toolpiper "http://127.0.0.1:9998/mcp?category=core"
claude mcp add --transport http toolpiper "http://127.0.0.1:9998/mcp?profile=automation"
| Transport | Endpoint | Auth |
|---|---|---|
| Streamable HTTP | POST http://127.0.0.1:9998/mcp (plus GET /mcp, the SSE channel for tools/list_changed) | None for loopback peers, enforced at the kernel socket, so Host/Origin spoofing cannot widen it. LAN and remote peers present Authorization: Bearer. |
Streamable HTTP is the only transport. ToolPiper has no stdio server, and older guides that described one are obsolete.
Your prompts, files and outputs stay on your Mac when you use local models. ToolPiper contacts our servers for update checks, a license check when you're signed in and a daily activity count, and it can send optional usage counts. You can turn the last two off in Settings, and none of them include your content. There are no crash uploads, and local use needs no account. Everything else is traffic you ask for: model downloads from HuggingFace, a cloud provider you add, and tools that explicitly target the web. You can watch it yourself:
lsof -i -P | grep ToolPiper
You will see update, license and activity requests to modelpiper.com hosts, optional usage counts to PostHog if you leave them on, plus any downloads or providers you chose, and none of them carry your content. Full policy: modelpiper.com/privacy.
Is this the same as "ToolPipe"? No. ToolPiper (this page, modelpiper.com) is the macOS MCP server by ModelPiper. Unrelated projects with similar names exist in some directories.
What does the MIT license in this repo cover? The contents of this repository: the server manifest, the Claude Code plugin, and the setup guides. The ToolPiper app itself is proprietary.
Does it work without an internet connection? Yes. Inference, speech, vision, RAG, and system tools are all on-device. You only need the network to download models.
Can other machines connect? Loopback is zero-config. LAN and remote access go through bearer-token auth.
I already added ToolPiper with `claude mcp add`. Do I need the plugin? No. Claude Code keeps your manual toolpiper server and skips the plugin's copy while the manual one exists, so nothing doubles up. The plugin is for a fresh setup, or if you remove the manual entry.