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)
A Codex stdio MCP server that generates repo-local tldraw diagrams and detects code graph drift.
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。
TLDRAW_MCP_ALLOWED_ROOTS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": {
"codex-tldraw": {
"command": "npx",
"args": [
"-y",
"codex-tldraw-mcp"
],
"env": {
"TLDRAW_MCP_ALLOWED_ROOTS": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add codex-tldraw --env TLDRAW_MCP_ALLOWED_ROOTS=your-value -- npx -y codex-tldraw-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"codex-tldraw": {
"command": "npx",
"args": [
"-y",
"codex-tldraw-mcp"
],
"env": {
"TLDRAW_MCP_ALLOWED_ROOTS": "your-value"
}
}
}
}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": {
"codex-tldraw": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"codex-tldraw-mcp"
],
"env": {
"TLDRAW_MCP_ALLOWED_ROOTS": "your-value"
}
}
}
}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。
TLDRAW_MCP_ALLOWED_ROOTS env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8日
注册名称已通过 GitHub 账户 jananadiw 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(0.5.0)于3个月前进入注册中心。
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, 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。
A stdio MCP server that generates editable repo-local tldraw diagrams, portable SVG previews, and trackable code graphs with drift detection.
Add the server to Codex:
codex mcp add codex-tldraw -- npx -y codex-tldraw-mcp
Then ask Codex to diagram the current repo:
Use codex-tldraw to diagram this repo.
Reverse-engineer its runtime architecture:
Use codex-tldraw to show how this repo works across its main components.
Show the main flow first, keep short errors inside components, and label each interaction once.
Or ask for a diagram directly:
Use codex-tldraw to draw a password reset state machine.
Create a trackable JavaScript or TypeScript module graph:
Use codex-tldraw to create a code graph for this repo.
After the code changes, compare it with the saved graph:
Use codex-tldraw to preview code graph drift, then mark stale elements.
The default outputs are:
<repo>/boards/main.tldr
/boards/main.svg
Open the .tldr board in a tldraw-compatible viewer to edit it. Any MCP host, browser, documentation system, or code review can display the .svg preview directly.
See the v0.7.1 release notes for plugin fixes and verification details.
This repository also packages the server as a Codex plugin. The existing MCP tools still write .tldr and .svg files; the plugin adds a .tldr file handler that opens the editable board in an embedded React/tldraw app.
Two paths open the same editor:
Diagram tool panel — After draw_canvas, diagram_repo, or similar tools run, the inline MCP App loads the board from the repository-scoped server resource tldraw://repos/ /boards/ /file and saves through the app-only save_board tool.
`.tldr` file entrypoint — When Codex opens a repo file directly, the app uses the host file resource API (open_tldraw_file). Writable files save with ETag conflict protection.
Build the server and its single-file app:
bun install
bun run build
Install the published plugin from npm (recommended):
npm install -g codex-tldraw-mcp
codex plugin marketplace add "$(npm root -g)/codex-tldraw-mcp" codex plugin add codex-tldraw@codex-tldraw-mcp
Or install from GitHub:
codex plugin marketplace add jananadiw/codex-tldraw-mcp
codex plugin add codex-tldraw@codex-tldraw-mcp
The plugin requires Node.js 20.11 or later and npm on PATH. A GitHub plugin download does not build source or install dependencies. The launcher uses a built local copy when available; otherwise it runs the matching published npm version through npx. The first fallback launch needs registry access. No Bun installation is needed to use the plugin.
For development from this checkout:
bun run build
codex plugin marketplace add . codex plugin add codex-tldraw@codex-tldraw-mcp
The marketplace descriptor is .agents/plugins/marketplace.json, the plugin manifest is .codex-plugin/plugin.json, its MCP configuration is .mcp.json, and the bundled app is dist/app.html. MCP hosts without app support continue to use the existing text results, .tldr resources, and SVG previews.
.tldr board that stays with the project it explains, plus a portable .svg preview.For a handwriting font app, the workflow may be inferred as:
User writes alphabet on paper -> User takes a photo of the paper -> User uploads the image -> AI generates a font -> User downloads a .ttf file
If you prefer editing Codex MCP config directly:
[mcp_servers.codex-tldraw]
command = "npx" args = ["-y", "codex-tldraw-mcp"]
diagram_repo: scans a repo and appends a product workflow diagram to /boards/ .tldr.draw_canvas: appends a prompt-provided workflow, state machine, architecture sketch, or plan to /boards/ .tldr.draw_architecture: appends a simple codebase architecture view with a main flow, supporting components, actions, calls, and errors.diagram_code_graph: scans repository-local JavaScript and TypeScript modules and appends a trackable import graph.compare_code_graph: previews drift or marks changed and stale elements on an existing trackable code graph.list_boards: lists boards under a repo's boards/ directory.read_board_summary: summarizes generated diagrams and shape counts and returns both artifact paths.When using the plugin, pass the absolute path of the repository as repoPath on every repository tool call. The plugin runs from its installation directory, not the chat workspace. Missing or relative paths are rejected to prevent diagrams being written to the plugin cache. For a remote repository URL, clone it locally first, then use the checkout path.
Standalone MCP tools accept an optional repoPath. Relative paths resolve from the MCP server working directory.
Every diagram-writing tool saves both artifacts and returns boardPath and svgPath in structured output. Tool content also includes MCP resource links for the editable board and SVG preview. The SVG renderer covers the text, rectangle, and arrow shapes generated by this server and needs no browser runtime.
New board resource links carry the encoded absolute repository path. They keep working after a server restart or a tool call for another repository, including when both repositories use the same board name. Resource reads still enforce TLDRAW_MCP_ALLOWED_ROOTS.
Legacy tldraw://boards/ /... resources remain available for older standalone clients and use the last selected repository. Re-run a diagram tool to replace older editor links with repository-scoped links.
The editor checks the loaded board's ETag before saving, blocks stale saves, and offers Discard and reload after a conflict. Invalid board data is rejected before replacing files. Diagram writes use a per-board filesystem lock so simultaneous calls from different server processes preserve both appends.
diagram_code_graph stores stable repository-relative identities and fingerprints in MCP-owned shape metadata. Each source module becomes a node. Static imports, dynamic imports, re-exports, and CommonJS require calls between repository modules become edges.
Run compare_code_graph after the repository changes. Preview mode is the default and does not write the board:
Compare the current code with the newest code graph on boards/main.tldr.
To update the board, ask Codex to apply the drift markers or pass applyMarkers: true. The comparison uses four states:
unchanged: the stored identity and fingerprint still match.changed: the module still exists, but its exports or local import relationships changed.stale: the board contains an element that no longer exists in the current code graph.new: the current graph contains an element that is absent from the board.Stale elements become red and dashed. Changed modules become orange and dashed. New elements appear in the tool result; v0.4.0 does not insert or rearrange them. Re-running the comparison restores the original generated style when code matches again.
The comparison changes only MCP-generated graph styling and metadata. It preserves positions, sizes, labels, manual shapes, and other diagrams on the board, and it restores each element's prior color when drift clears. Boards created by diagram_repo, draw_canvas, or an older release do not contain trackable code-graph metadata; create a graph with diagram_code_graph before comparing drift.
The v0.4.0 scanner supports .js, .jsx, .mjs, .cjs, .ts, .tsx, .mts, and .cts modules. It reports unresolved relative imports and counts external imports without drawing external packages. It models module/import relationships, not runtime call graphs.
draw_canvas does not scan source files. The current repository is only the storage location for the generated board.
Example prompts:
Use codex-tldraw to draw the auth flow:
Visitor opens login -> chooses email or SSO -> completes MFA -> lands in dashboard.
Use codex-tldraw to make a state machine for password reset:
Idle -> Reset requested -> Email sent -> Token verified -> Password updated.
Use codex-tldraw to append an architecture diagram for this plan:
Web app calls API gateway, API gateway calls worker queue, worker writes generated files to object storage.
draw_architecture helps a new reader understand how work moves across a codebase. Codex inspects the code first, then sends the renderer a small model:
Keep libraries and helper modules inside component actions. For example, "validate the response with Zod" belongs inside the API component rather than becoming a separate Zod component. Meaningful arrows have bindings to both endpoint shapes.
See Architecture Diagrams for the analysis contract and input model.
This project is early and feedback is useful. Please open an issue if:
Use the GitHub issue templates for bugs, feature requests, and real-world examples.
This project is snapshot-only. It does not control a live browser canvas or provide live collaboration. It writes board files to the repository being diagrammed so a tldraw-compatible viewer can open them later.
The official tldraw MCP App is designed for hosts that can render an interactive tldraw canvas inside the chat context. In Codex Desktop, tool discovery worked in testing, and the tldraw search tool returned Editor API details, shape types, and helpers. The live exec path did not work: every call timed out after 30 seconds, including a read-only call to count the current page shapes.
That failure mode motivated the original file-based fallback. The v0.7.0 plugin now includes its own embedded MCP App editor, while generated SVG previews remain usable in hosts without app support.
This server started as a Codex-first fallbac
只显示了开头部分;其余内容请在仓库中阅读