Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Bitbybit 3D parametric CAD API, version-exact, for coding agents: search, describe, examples, guide
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.bitbybit.dev/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"cad": {
"command": "npx",
"args": [
"-y",
"@bitbybit-dev/mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http cad https://mcp.bitbybit.dev/mcpclaude mcp add cad -- npx -y @bitbybit-dev/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"cad": {
"url": "https://mcp.bitbybit.dev/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"cad": {
"command": "npx",
"args": [
"-y",
"@bitbybit-dev/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"cad": {
"type": "http",
"url": "https://mcp.bitbybit.dev/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"cad": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@bitbybit-dev/mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.bitbybit.dev/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 bitbybit.dev 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.6.0)은 8일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
An MCP server that documents the Bitbybit 3D CAD API for AI coding agents: every function, its parameters, defaults, return type and examples, for the exact version your project uses. Bitbybit has 2205 functions across three CAD kernels - more than any model holds in memory - so an agent working from memory invents plausible names that do not exist. An agent with this server looks each one up instead, and writes code that compiles the first time.
It answers from the API index Bitbybit publishes with every release (https://git-cdn.bitbybit.dev/v /ai-context/index.json), never from memory, and never from a moving "latest".
The diagram shows what an agent is writing code *for*. The MIT-licensed npm packages run the CAD kernels in your users' browsers or in your own Node process; script runners load the same engine from one file; the CAD Cloud REST API runs the work on managed servers. This server knows all of them, and every answer carries a tier - oss, platform-pro or cloud-pro - so an agent never sends you to a paid service for something the free packages already do.
The same server runs two ways. Hosted at https://mcp.bitbybit.dev/mcp over Streamable HTTP, which needs nothing installed and serves the newest release; or locally over stdio with npx, which needs Node 20 and serves the version your project has installed. Start with the remote.
Claude Code
claude mcp add --transport http bitbybit https://mcp.bitbybit.dev/mcp
or the local server:
claude mcp add --transport stdio bitbybit -- npx -y @bitbybit-dev/mcp
For a project, commit a .mcp.json at its root so every collaborator's Claude Code finds it:
{ "mcpServers": { "bitbybit": { "type": "http", "url": "https://mcp.bitbybit.dev/mcp" } } }
Cursor (.cursor/mcp.json)
{ "mcpServers": { "bitbybit": { "url": "https://mcp.bitbybit.dev/mcp" } } }
VS Code (.vscode/mcp.json) - the type is required, or VS Code tries to start the URL as a program:
{ "servers": { "bitbybit": { "type": "http", "url": "https://mcp.bitbybit.dev/mcp" } } }
Either form takes the local server instead: { "command": "npx", "args": ["-y", "@bitbybit-dev/mcp"] }, with "type": "stdio" in VS Code.
Codex
codex mcp add bitbybit --url https://mcp.bitbybit.dev/mcp
or codex mcp add bitbybit -- npx -y @bitbybit-dev/mcp for the local server. In ~/.codex/config.toml that is [mcp_servers.bitbybit] with url = "https://mcp.bitbybit.dev/mcp".
Gemini CLI (gemini mcp add -t http bitbybit https://mcp.bitbybit.dev/mcp), Windsurf (serverUrl in ~/.codeium/windsurf/mcp_config.json), Zed (context_servers in its settings) and the JetBrains IDEs (AI Assistant, MCP, a JSON entry with url) take the same address. claude.ai, ChatGPT and the Claude API connect to the remote as a custom connector - every configuration is documented here.
The server documents one exact version of the API. It picks it in this order:
--version on the command line;BITBYBIT_VERSION= in the environment;@bitbybit-dev packages installed around the working directory (core, then the renderer packages, then occt); packages that disagree are reported on stderr and the first wins;Indexes are cached in $XDG_CACHE_HOME/bitbybit-mcp (or ~/.cache/bitbybit-mcp); --no-cache skips the cache. Everything the program prints goes to stderr; stdout is the protocol.
| Tool | What it answers |
|---|---|
search_api | members by keywords, with path, summary, tier and engines |
describe | the full contract of one member by dotted path, naming the types it returns or takes; such a type by its name, field by field; an unknown path is reported with the nearest existing ones |
list_namespace | the members one level below a namespace |
get_examples | code examples for a member, a namespace or a topic |
get_guide | sections of the public guides: where geometry should run, how to build, check and export parts with the kernels, how to write design documents, and how to write IFC building models |
search, fetch | the same lookups in the shape ChatGPT connectors require |
Every tool is read-only. Tiers in the answers: oss (in the npm packages, MIT), platform-pro (only when scripting inside bitbybit.dev), cloud-pro (only on CAD Cloud, with an API key).
This server answers questions; it never runs geometry. When you want the agent to *produce* geometry - measure a STEP file, run a pipeline, unfold a sheet-metal part, convert to glTF - connect the Bitbybit CAD Cloud MCP alongside it, with a CAD Cloud API key:
claude mcp add --transport http bitbybit-cloud https://api.bitbybit.dev/mcp --header "X-API-Key: <your key>"
In Codex the same is [mcp_servers.bitbybit-cloud] with url = "https://api.bitbybit.dev/mcp" and env_http_headers = { "X-API-Key" = "BITBYBIT_API_KEY" }, the key read from the environment.
The two are designed to work together: the agent learns a member here and calls it there with the same dotted path and the same argument object.
The package exports the tool registry and the index reader, so another server can serve the same tools:
import { createDocsRegistry, contextForIndex, GUIDES, GUIDE_PAGE_URL } from "@bitbybit-dev/mcp";
import { loadIndex } from "@bitbybit-dev/mcp/index-loader"; import { createMcpServer } from "@bitbybit-dev/mcp/server";
const version = " "; const index = await loadIndex({ version }); const context = contextForIndex(index, GUIDES, GUIDE_PAGE_URL); const server = createMcpServer(createDocsRegistry(), context, { name: "bitbybit", version });
toHttp(registry, context) renders the same tools for a plain HTTP endpoint, and guarded(registry, report) is the error boundary every server puts around a registry: a handler that throws answers a generic error result and the throw goes to report, so no internal message reaches a client. Registry.map(wrap) re-wraps every handler for such concerns of your own. The package root imports no Node built-in, so a bundler can take it into an edge runtime; the loader and the version detector, which read the file system, are the separate index-loader and installed-version entries, and the $ref inliner the tool schemas go through is the dependency-free json-schema entry.
The stdio server sends nothing anywhere except one request to the CDN for the index of the version it serves.
| Resource | URL |
|---|---|
| Using AI with Bitbybit | https://learn.bitbybit.dev/learn/using-ai-with-bitbybit/intro |
| This server, documented | https://learn.bitbybit.dev/learn/using-ai-with-bitbybit/mcp/bitbybit-mcp |
| CAD Cloud MCP | https://learn.bitbybit.dev/learn/using-ai-with-bitbybit/mcp/cad-cloud-mcp |
| Agentic CAD - where geometry should run | https://learn.bitbybit.dev/learn/using-ai-with-bitbybit/agentic-cad |
| Context files, for hosts without MCP | https://learn.bitbybit.dev/learn/using-ai-with-bitbybit/prompt-contexts |
| GitHub | https://github.com/bitbybit-dev/bitbybit/tree/master/packages/dev/mcp |
| Monorepo | https://github.com/bitbybit-dev/bitbybit |
| TypeScript API Reference | https://docs.bitbybit.dev |
Beyond NPM packages, Bitbybit offers:
This package is part of the open-source Bitbybit ecosystem. Your subscription helps fund continued development.
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