Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
MCP server for AI interaction with live Smalltalk images
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Pick the AI app you use, then copy the settings.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"claudesmalltalk": {
"command": "uvx",
"args": [
"claude-smalltalk"
]
}
}
}Run this in your terminal
claude mcp add claudesmalltalk -- uvx claude-smalltalkPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"claudesmalltalk": {
"command": "uvx",
"args": [
"claude-smalltalk"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"claudesmalltalk": {
"type": "stdio",
"command": "uvx",
"args": [
"claude-smalltalk"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The publisher (johnmci) is not the repo owner (CorporateSmalltalkConsultingLtd); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.2.1) reached the registry 10 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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