Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
MCP server for AI interaction with live Smalltalk images
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。
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。
选择你使用的 AI 应用,然后复制设置。
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"claudesmalltalk": {
"command": "uvx",
"args": [
"claude-smalltalk"
]
}
}
}在终端中运行这条命令
claude mcp add claudesmalltalk -- uvx claude-smalltalk粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"claudesmalltalk": {
"command": "uvx",
"args": [
"claude-smalltalk"
]
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"claudesmalltalk": {
"type": "stdio",
"command": "uvx",
"args": [
"claude-smalltalk"
]
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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7日
发布者(johnmci)不是仓库所有者(CorporateSmalltalkConsultingLtd);可能是其他人代为上架的
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
它在 1 项适用的基础检查中通过了 0 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。
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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.2.1)于10个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
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
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.
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。
Connect Claude Desktop to a live Smalltalk programming environment. Browse classes, evaluate expressions, define methods, and run autonomous code review — all against a running Squeak or Cuis image.
Developed by John M McIntosh, Corporate Smalltalk Consulting Ltd. 2026
The Squeak VM provides 14 MCP tools — evaluate code, browse classes, read/write methods, navigate hierarchies, and save the image. Claude Desktop accesses them via smalltalk_task, which delegates all Smalltalk interaction to a locally-configured LLM (Ollama for free/local, or Anthropic/OpenAI/xAI) — no source code leaves your machine.
You → Claude Desktop → smalltalk_task → Your LLM → Live Smalltalk Image (TCP)
(MCP server) (Ollama) (Squeak or Cuis)
The agent isolates Smalltalk reasoning from your chat model. Claude Desktop triggers the work, but a separate model (which can be local and free) does the actual Smalltalk coding.
Squeak (recommended):
Cuis Smalltalk:
macOS note: Place the VM and image files in
/Applications/or your home directory. Files in~/Documents/or~/Desktop/may be blocked by macOS privacy restrictions (TCC). See macOS Permissions below.
Follow CLAUDE-README-MCPB.md — it covers creating your smalltalk-mcp.json config and installing the desktop extension.
Copy a starter config from examples/ and set your VM paths:
cp examples/smalltalk-mcp-ollama.json smalltalk-mcp.json
The VM auto-starts on first use — no manual launch needed. Token auth is handled automatically.
See examples/ for Anthropic, OpenAI, xAI, and MQTT variants.
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": { "smalltalkAgent": { "command": "uv", "args": ["run", "/path/to/ClaudeSmalltalk/smalltalk_agent_mcp.py"], "env": { "SMALLTALK_MCP_CONFIG": "/path/to/smalltalk-mcp.json" } } } }
Requires Python 3.10+. Dependencies (httpx) are resolved automatically by uv. Install uv if you don't have it by following the official installation instructions there (for example via your package manager where available). If you choose to use an install script, review it first and follow any checksum or signature verification steps described in the uv documentation.
Alternatively, if you prefer not to use
uv, you can usepython3as the command — but you'll need to installhttpxyourself (pip install httpxorpip3 install httpx). For MQTT transport, also:pip install paho-mqtt.
Open Claude Desktop and ask:
"List all Smalltalk classes that start with String"
| Tool | Description |
|---|---|
smalltalk_task | Delegate any Smalltalk task to a locally-configured LLM. No source code leaves your machine. |
| Tool | Description |
|---|---|
smalltalk_evaluate | Execute Smalltalk code and return result |
smalltalk_browse | Get class metadata (superclass, ivars, methods) |
smalltalk_method_source | View source code of a method |
smalltalk_define_class | Create or modify a class definition |
smalltalk_define_method | Add or update a method |
smalltalk_delete_method | Remove a method from a class |
smalltalk_delete_class | Remove a class from the system |
smalltalk_list_classes | List classes matching a prefix |
smalltalk_hierarchy | Get superclass chain |
smalltalk_subclasses | Get immediate subclasses |
smalltalk_list_categories | List all system categories |
smalltalk_classes_in_category | List classes in a category |
smalltalk_save_image | Save the current image in place |
smalltalk_save_as_new_version | Save image/changes as next version number |
All 14 tools are also available directly via the st CLI (openclaw/smalltalk.py).
| Provider | API | Cost | Config key |
|---|---|---|---|
| Ollama | /v1/chat/completions | Free (local) | "provider": "ollama" |
| Anthropic | /v1/messages (httpx) | Paid | "provider": "anthropic" |
| OpenAI | /v1/chat/completions | Paid | "provider": "openai" |
| xAI | /v1/chat/completions | Paid | "provider": "xai" |
All providers use httpx (included as a dependency) — no additional packages to install.
| Transport | How | Use Case |
|---|---|---|
tcp | Token-authenticated TCP to Squeak VM | Recommended — VM is its own server |
mqtt | MQTT broker to remote image | Remote images, Cuis with MQTT handler |
tcp is the default. The Squeak VM runs MCPTcpTransport and listens on a local port. The agent auto-starts the VM on first use, generates a UUID token, and connects per-request with JSON-RPC + token auth.
mqtt connects through an MQTT broker. Used for remote images or Cuis with the MQTT LLM handler.
macOS Transparency, Consent, and Control (TCC) restricts which directories applications can access.
Safe locations (no extra permissions needed):
/Applications/ — recommended for VM and image files~/ (home directory root) — works for config filesRestricted locations (will cause errors):
~/Documents/, ~/Desktop/, ~/Downloads/| Option | Architecture | Guide |
|---|---|---|
| OpenClaw | Telegram/Discord ↔ OpenClaw ↔ Squeak | OPENCLAW-SETUP.md |
The extension only connects to a local Smalltalk image over TCP (localhost only). No source code is sent to cloud APIs when using Ollama.
With Ollama + TCP transport, no Smalltalk source code leaves your machine.
Dual security audit details: SECURITY.md
| File | Description |
|---|---|
Claude.SmalltalkInterface.mcpb | Desktop extension — double-click to install |
CLAUDE-README-MCPB.md | Setup guide bundled with the extension |
smalltalk_agent_mcp.py | MCP server (stdio JSON-RPC for Claude Desktop) |
smalltalk_agent.py | Agent with tool-calling loop, TcpBridge + MqttBridge |
openclaw/smalltalk.py | st CLI — direct TCP access to all 14 tools |
openclaw/mqtt_bridge.py | MQTT CLI bridge for Cuis/remote images |
smalltalk-mcp-example.json | Starter config — copy and edit |
SKILL.md | Drag into Claude Desktop for Smalltalk best practices |
MCP-Server-Squeak.st | MCP server fileIn for Squeak 6.0 (TCP transport) |
MCP-Server.pck.st | MCP server package for Cuis |
examples/ | Config examples for all providers and transports |
MIT License — see LICENSE