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)
Control FreeCAD from Claude — 3D modeling, PartDesign, CAM toolpaths, and more via 30+ tools.
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": {
"freecad": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/blwfish/freecad-mcp:latest"
]
}
}
}在终端中运行这条命令
claude mcp add freecad -- docker run -i --rm ghcr.io/blwfish/freecad-mcp:latest粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"freecad": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/blwfish/freecad-mcp:latest"
]
}
}
}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": {
"freecad": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/blwfish/freecad-mcp:latest"
]
}
}
}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9日
注册名称已通过 GitHub 账户 blwfish 验证,该账户拥有此仓库
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 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。
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(8.6.0)于11天前进入注册中心。
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 Docker。
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:↓ 每周下载量i★ 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。
This is a bridge between your AI agent and FreeCAD — a thinking partner for parametric design, CNC toolpath generation, and mesh work. You bring the design intent and the domain judgment; the agent handles the FreeCAD mechanics. Together: moving faster, co-designing things that would take hours to build by hand, untangling the cryptic error messages that FreeCAD is so good at generating, and hunting down the subtle, knotty modeling problems that are nearly impossible to find alone. Built for personal daily use — designing parts, generating toolpaths, printing and cutting them — not a demo. See TOOLS.md for the full tool reference.
These are a couple of examples of how I've used the MCP.
Debugging a broken external reference — a link FreeCAD can't restore, an error message that seems to contradict what you know about your own model, and a one-line fix found by reading the file directly.
Full story →
Designing a shingles generator — several sessions of back-and-forth to design a parametric generator that tiles any roof surface from a spreadsheet of parameters.
Full story →
FreeCAD version support: All tools except CAM are supported on FreeCAD 1.1.x (current stable). CAM toolpath generation requires a current FreeCAD weekly development build (what used to be called "1.2-dev" before upstream moved to calendar-based versioning, e.g.
26.3.x) — the Path workbench API changed incompatibly between 1.1 and the dev series. This project tracks the latest weekly.
Developed on macOS with Claude Code. The code handles macOS, Windows, and Linux — other platforms *should* work but are less tested. PRs for other agents and platforms will be considered. It's also been manually smoke-tested against LM Studio's native MCP client (qwen/qwen2.5-coder-14b, qwen/qwen3-32b, google/gemma-4-e4b) to confirm the protocol round-trips cleanly outside of Claude — see AGENT-INSTALL.md for details and caveats.
Tell your AI agent:
Go to https://github.com/blwfish/freecad-mcp and read the AGENT-INSTALL.md file. Follow the instructions to install and configure the FreeCAD MCP server on this machine.
Your agent will handle the rest — installing prerequisites, cloning the repo, setting up the FreeCAD addon, and registering itself. Once setup is complete, you can ask your agent to design parts.
Once FreeCAD is running with the AICopilot workbench loaded, open the Report View (menu: View → Panels → Report View). You should see something like this:
A few things worth knowing about this output:
The MCP can talk to more than one FreeCAD at a time — useful for comparing a local debug build against a stock release, running a regression in a side window while keeping your main work open, or driving headless workers from the same Claude session.
Each FreeCAD process (GUI or headless) generates a UUID at startup, binds its own socket at /tmp/freecad_mcp_ .sock, and writes a discovery file to ~/.cache/freecad-mcp/instances/ .json. The bridge scans that directory to find live instances regardless of who launched them.
Optional env vars on launch:
FREECAD_MCP_LABEL= — give the instance a human-readable name (defaults to the UUID otherwise)FREECAD_MCP_SOCKET= — override the socket path entirely (escape hatch for CI / tightly-scripted launches)Listing and switching from the agent:
list_freecad_instances # all live instances + active doc info
select_freecad_instance uuid= # by uuid select_freecad_instance label="weekly" # or by label
Spawning from the agent:
spawn_freecad_instance gui=true label="private" \
freecad_binary=/path/to/your/private/build/bin/FreeCAD spawn_freecad_instance gui=true label="weekly" \ freecad_binary=/Applications/FreeCAD.app/Contents/MacOS/FreeCAD
Resolution rules when no instance is explicitly selected: 0 live → error, 1 live → auto-select, 2+ live → error listing them (call select_freecad_instance).
# Unit tests (1430 tests, no FreeCAD required)
python3 -m pytest tests/unit/
python3 -m pytest tests/integration/
python3 -m pytest --cov=AICopilot
For Claude users: the easiest and cheapest approach is to use Claude Code, the web interface, or the CLI tool directly. These platforms automatically handle prompt caching and cost optimization — you don't need to think about it. If you're just using this MCP to design parts in FreeCAD, use Claude Code. Stop reading this section.
If you're building applications or integrations that make direct calls to the Claude API (using the Anthropic SDK), you must understand prompt caching. The Claude desktop app, web interface, and CLI tools automatically handle caching of file context and tool references — you don't see this optimization, but it reduces latency and cost for repeated queries over the same context.
When you make direct API calls, caching must be managed explicitly. The MCP server itself doesn't make API calls, but if you build integrations or extensions that do:
Similarly, if you integrate other MCP servers or agents into your workflow, they may have analogous considerations that are not documented in their README. Check their documentation or source for caching behavior, async job handling, and token limits — don't assume they work like Claude Code.
The test suite covers the handler dispatch layer, base infrastructure, and document operations via unit tests, plus end-to-end coverage of Part, PartDesign, Sketch, Draft, Boolean, Transform, Measurement, and CAM workflows via integration tests against a live FreeCAD instance. CI runs both suites on every push.
The MCP includes operation logging, crash capture, and report view access. FreeCAD's own error reporting is often cryptic — OCCT kernel crashes leave no trace, and the messages that do appear require context to interpret. These tools provide that context.
Most users and developers won't know this infrastructure exists until they need it. See docs/diagnostics.md for a full guide with real examples, and AGENT-DEBUGGING.md for the step-by-step investigation runbook agents should follow when something goes wrong.
See AGENT-INSTALL.md for full technical details, architecture, contributing guidelines, and how to add new tools.
This tool grants your AI agent full access to FreeCAD's Python environment, including the filesystem and OS — this is by design. It also means the agent reads document content (object labels, macro source, spreadsheet values) directly into its reasoning context, so treat FreeCAD files from untrusted sources the same way you'd treat untrusted code. See SECURITY.md for the full security model, practical mitigations, and how to report vulnerabilities.
The MCP also checks GitHub once a day for a newer release — a plain pull against GitHub's public API, cached, and logged locally to ~/.cache/freecad-mcp/version_check.log so it's auditable. See SECURITY.md for details.
If you hit a bug, open an issue — silent failures don't help anyone. Agents won't tell you when something's wrong; they'll just fail the task. See CONTRIBUTING.md for what makes a useful report.
LGPL-2.1-or-later