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)
Convert PDFs, Office docs, websites and audio into AI-ready Markdown, then search and ask your docs.
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.llmtomd.com/mcp在终端中运行这条命令
claude mcp add --transport http llmtomd https://mcp.llmtomd.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"llmtomd": {
"url": "https://mcp.llmtomd.com/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": {
"llmtomd": {
"type": "http",
"url": "https://mcp.llmtomd.com/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.llmtomd.com/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 llmtomd.com 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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.9)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。
Turn PDFs, Office documents, websites and audio into clean, AI-ready Markdown, and let your AI assistant search and answer questions across everything you've converted.
LLMtoMD is a hosted MCP server. There's nothing to install or run: connect your client to the endpoint below and sign in with your LLMtoMD account.
| Endpoint | https://mcp.llmtomd.com/mcp |
| Transport | Streamable HTTP |
| Auth | OAuth 2.1 (PKCE + dynamic client registration). Your client opens a sign-in page; no API keys to copy. |
| Registry | com.llmtomd/llmtomd on the official MCP Registry |
| Account | Free sign-up at llmtomd.com |
Install in VS Code
Or add it by hand: Command Palette → MCP: Add Server → HTTP, enter https://mcp.llmtomd.com/mcp, and sign in when prompted. You can also add it to .vscode/mcp.json:
{
"servers": { "llmtomd": { "type": "http", "url": "https://mcp.llmtomd.com/mcp" } } }
Settings → Connectors → Add custom connector, paste https://mcp.llmtomd.com/mcp, then sign in.
Settings → Apps & Connectors → Create (developer mode), use https://mcp.llmtomd.com/mcp with OAuth, then sign in.
Any MCP client that supports remote Streamable HTTP servers with OAuth works. Point it at https://mcp.llmtomd.com/mcp.
Convert
| Tool | What it does |
|---|---|
convert_url | Convert a web page or a publicly reachable file URL into Markdown |
convert_file | Convert a small local file (sent inline) into Markdown |
upload_file | Get a one-time upload URL for large or binary files (big PDFs, scans, audio, video) |
convert_upload | Convert a file uploaded with upload_file |
Your library
| Tool | What it does |
|---|---|
list_documents | List documents in your LLMtoMD library, newest first |
get_document | Fetch a stored document's full Markdown |
search_documents | Semantic search across your documents |
ask_documents | Answer a question from your documents, with sources |
list_collections | List your collections (projects) and their document counts |
save_note | Save text or Markdown into your library so it's searchable later |
Coding-task scope guard
| Tool | What it does |
|---|---|
start_task | Record the approved file boundary of a coding task before editing |
check_scope | Check changed files against that boundary |
approve_scope | Widen the boundary when a human approves extra files |
close_task | Mark a task finished |
list_tasks | List task scopes and their status |
PDF (including scanned PDFs via OCR), Word (DOCX), PowerPoint (PPTX), Excel (XLSX), HTML and whole-site crawls, images, and audio/video transcription. See llmtomd.com/formats.
Source files are processed and deleted automatically within 24 hours. Converted documents stay in your account until you delete them. You can disconnect a client at any time from your LLMtoMD dashboard, which cuts its access immediately. See llmtomd.com/security and llmtomd.com/privacy.
A free plan is available, and conversions use credits. See llmtomd.com/pricing.
Email support@llmtomd.com or open an issue in this repository.
This repository documents the hosted LLMtoMD MCP server. The service itself is closed source; the documentation here is MIT licensed.