Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Render and validate ArchSmith architecture diagrams from a governed JSON IR.
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
正在检查命令 · 通过后才会显示复制按钮
用 ArchSmith 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 ArchSmith,或回答中出现 ArchSmith 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 ArchSmith
ArchSmith 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 ArchSmith 的应用
B · 设计、图片与音频 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
正在检查命令 · 通过后才会显示复制按钮
应能看到 ArchSmith 在列表中并显示已连接
用 ArchSmith 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 ArchSmith,或回答中出现 ArchSmith 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
正在检查命令 · 通过后才会显示复制按钮
用 ArchSmith 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 ArchSmith,或回答中出现 ArchSmith 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
正在检查命令 · 通过后才会显示复制按钮
用 ArchSmith 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 ArchSmith,或回答中出现 ArchSmith 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
正在检查命令 · 通过后才会显示复制按钮
Claude Desktop (claude_desktop_config.json)
正在检查命令 · 通过后才会显示复制按钮
Cursor (~/.cursor/mcp.json)
正在检查命令 · 通过后才会显示复制按钮
VS Code (mcp.json)
正在检查命令 · 通过后才会显示复制按钮
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。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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13日
注册名称已通过 GitHub 账户 ayeshLK 验证,该账户拥有此仓库
代码最后更新于3天前
使用 Apache-2.0
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
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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 3 项适用的基础检查中通过了 3 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3天前,最新版本(0.8.2)于14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 Node.js。
同一分类中有:Figma Context MCP, AutoClip, Next AI Draw.io
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.
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
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。
The archsmith-mcp MCP server for ArchSmith — exposes render/validate/registry lookups to any MCP-capable agent, over stdio.
A sibling of @archsmith/cli, not a wrapper around it: both call render()/validate() from @archsmith/renderer directly. See the root README for the full picture.
Point the host at the built entrypoint, e.g. in Claude Desktop's claude_desktop_config.json:
{
"mcpServers": { "archsmith": { "command": "npx", "args": ["-y", "@archsmith/mcp-server"] } } }
get_schema, render, validate, list_registries, get_registry — mirror the CLI's own commands (same validate-before-render behavior, same family filter on get_registry). render defaults to embedFonts: false so the normal agent workflow stays compact; pass embedFonts: true deliberately when the exported SVG must include the bundled Arimo font and render identically without installed fonts. The embedded font is subset to just the glyphs that diagram's own text needs (see issue #55) rather than the whole font, so its size scales with the diagram instead of a fixed cost — still worth opting into deliberately, but no longer a blind tax regardless of content. The renderer library and CLI still embed fonts by default.
A render under 25,000 bytes of SVG (INLINE_THRESHOLD_BYTES in renderStore.ts) is returned as a single text content block, as above. A larger one — a big diagram, or embedFonts: true pushing an already-sizeable one over the line — is returned as a resource_link instead: a small { type: "resource_link", uri: "archsmith://render/ ", size, ... } descriptor, fetchable via resources/read on that uri. This means the tool result itself never grows unbounded — unlike subsetting, which shrinks a fixed cost but still scales with diagram content, this has no ceiling on render size. A real Claude Code session tested against an equivalent-sized payload spent 3,279 tokens on the resource_link response versus 23,916 tokens inlining the same content directly — the model doesn't have to read bytes it doesn't need. archsmith://render/ entries live in a small in-memory cache bounded to the most recent 20 renders (MAX_ENTRIES); reading an evicted or unknown id returns a standard JSON-RPC -32002 ("Resource not found") error, not a tool error.
Measured against the current fixtures as UTF-8 bytes, including a serialized JSON-RPC { jsonrpc, id, result } response envelope. "SVG" is the underlying render size regardless of shape; "MCP response" is what's actually returned — either that SVG inlined, or (marked *link*) a small resource_link descriptor pointing at it:
| Fixture | Fonts | SVG | MCP response |
|---|---|---|---|
minimal-valid | omitted (default) | 9,014 B | 9,989 B |
minimal-valid | embedded (subset) | 22,313 B | 23,289 B |
simple-3-tier-web-app | omitted (default) | 12,555 B | 13,857 B |
simple-3-tier-web-app | embedded (subset) | 26,130 B | 27,433 B |
ticket-booking | omitted (default) | 23,441 B | 25,639 B |
ticket-booking | embedded (subset) | 38,328 B | 355 B (*link*) |
Before subsetting, embedding cost a fixed ~40 KB regardless of fixture (two complete font weights) — enough to exceed common MCP client result limits even on a modest, everyday diagram like simple-3-tier-web-app, not just a maximal one (issue #55). Subsetting to each diagram's own text cuts that by roughly 40-55%, scaling with content instead of being a flat tax — but ticket-booking embedded is still 38,328 B, over the 25,000 B inline threshold, which is exactly the case the resource_link fallback above exists for: the tool response stays a small, constant-size descriptor no matter how large the underlying SVG is.
Before the response-shape fix in #50, the server also returned both SVG text and a duplicate base64 image block and embedded fonts by default; that made the ticket-booking response 149,897 B. The server now avoids duplicate payloads and keeps font embedding as an explicit, size-proportional portability tradeoff instead of hard-coding a particular client's result-size limit.
Real-host smoke test: Claude Code 2.1.153 with Claude Haiku 4.5 successfully rendered the full ticket-booking fixture through the stdio MCP server with embedFonts omitted. It received the SVG without an embedded @font-face.
get_schema returns the diagram IR JSON Schema — the same document as the archsmith://schema resource below, but as a tool the connected model can call on its own initiative before authoring an IR, rather than depending on the host client to surface a resource. validate and render name it (and get_registry) in their own descriptions, and again in their response content whenever the IR turns out to be invalid.
archsmith://schema and one archsmith://registries/ per governed registry — lets an agent authoring an IR read the live, current schema/registries directly instead of working from a stale copy baked into a prompt.
archsmith://render/ is a third, dynamic kind: render registers one whenever a render is too large to inline (see above). Deliberately not listed via resources/list — per the spec, a resource link returned by a tool isn't guaranteed to appear there — it's only reachable via the resource_link render itself returned, and it's evicted from the bounded in-memory store once 20 more renders have happened, so it doesn't survive a server restart or accumulate unbounded memory in a long session.
Apache-2.0