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)
Bitbybit 3D parametric CAD API, version-exact, for coding agents: search, describe, examples, guide
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.bitbybit.dev/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"cad": {
"command": "npx",
"args": [
"-y",
"@bitbybit-dev/mcp"
]
}
}
}在终端中运行这条命令
claude mcp add --transport http cad https://mcp.bitbybit.dev/mcpclaude mcp add cad -- npx -y @bitbybit-dev/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"cad": {
"url": "https://mcp.bitbybit.dev/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"cad": {
"command": "npx",
"args": [
"-y",
"@bitbybit-dev/mcp"
]
}
}
}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": {
"cad": {
"type": "http",
"url": "https://mcp.bitbybit.dev/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"cad": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@bitbybit-dev/mcp"
]
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://mcp.bitbybit.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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6日
注册名称已通过域名 bitbybit.dev 验证(注册中心会核实域名所有权)
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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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 1 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。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(1.6.0)于8天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
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.
⭐ [Subscribe - Silver or Gold plan](https://bitbybit.dev/auth/pick-plan) | [Get API Key for CAD Cloud](https://bitbybit.dev/auth/pick-plan?api-keys=true)
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