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)
Official faktry MCP server: generate and edit images, video, audio, and PDFs.
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。
FAKTRY_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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://faktry.ai/api/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"faktry": {
"command": "npx",
"args": [
"-y",
"@faktry/mcp"
],
"env": {
"FAKTRY_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http faktry https://faktry.ai/api/mcpclaude mcp add faktry --env FAKTRY_API_KEY=your-value -- npx -y @faktry/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": {
"faktry": {
"url": "https://faktry.ai/api/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"faktry": {
"command": "npx",
"args": [
"-y",
"@faktry/mcp"
],
"env": {
"FAKTRY_API_KEY": "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": {
"faktry": {
"type": "http",
"url": "https://faktry.ai/api/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"faktry": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@faktry/mcp"
],
"env": {
"FAKTRY_API_KEY": "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。
ChatGPT 只能连接互联网上的服务器:
https://faktry.ai/api/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 GitHub 账户 faktry 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
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。
你需要填写:FAKTRY_API_KEY
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(0.1.1)于31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。
faktry MCP
Bring the whole faktry media stack into the tools you already use.
Generate and edit images, video, audio, and PDFs from any MCP-compatible client.
Install · Tools · Examples · Troubleshooting
The faktry MCP server exposes the full faktry toolkit — over 70 tools spanning image, video, audio, PDF, and 3D generation and editing — to any client that speaks the Model Context Protocol. Generate a product shot, cut it into a UGC-style video with a voiceover, subtitle it, and export a thumbnail sheet, all without leaving the chat.
https://faktry.ai/api/mcp — no local server to run. stdio-only clients can use the npx -y @faktry/mcp bridge.job_id immediately; poll faktry_job_status until it's ready.faktry_library_save and pull it back into a later session with faktry_library_list.faktry_credits.These clients handle authentication for you — paste the URL, sign in, approve.
MCP Server URL:
https://faktry.ai/api/mcp
Claude.ai
Claude Desktop
Cursor
Hermes Agent
ChatGPT Desktop (Business / Enterprise / Edu only)
Create an API key at faktry.ai/api/keys first, then add faktry to your client's config. Replace YOUR_API_KEY_HERE with your real key — it's only shown once when created.
Claude Code
Add to .mcp.json (project) or ~/.claude.json (user):
{
"mcpServers": { "faktry": { "type": "http", "url": "https://faktry.ai/api/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }
Picked up automatically — no restart needed.
VS Code (Copilot)
Add to .vscode/mcp.json (workspace) or via Settings → MCP Servers:
{
"servers": { "faktry": { "type": "http", "url": "https://faktry.ai/api/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }
Windsurf
Edit ~/.codeium/windsurf/mcp_config.json (%USERPROFILE%\.codeium\windsurf\mcp_config.json on Windows) — note Windsurf uses serverUrl, not url:
{
"mcpServers": { "faktry": { "serverUrl": "https://faktry.ai/api/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }
Restart Windsurf to activate the tools.
Continue.dev
Add to ~/.continue/config.yaml:
mcpServers:
faktry: type: http url: https://faktry.ai/api/mcp requestOptions: headers: Authorization: "Bearer YOUR_API_KEY_HERE"
Continue.dev reloads automatically.
Codex CLI
Add to ~/.codex/config.toml:
[mcp.servers.faktry]
type = "http" url = "https://faktry.ai/api/mcp"
[mcp.servers.faktry.headers] Authorization = "Bearer YOUR_API_KEY_HERE"
Verify with codex mcp list.
stdio clients (npx) — Zed, older Claude Desktop configs, and anything without remote MCP
The @faktry/mcp package is a thin stdio bridge to the hosted server. Requires Node 18+.
Generic form:
FAKTRY_API_KEY=YOUR_API_KEY_HERE npx -y @faktry/mcp
Claude Desktop (claude_desktop_config.json) and most other mcpServers clients:
{
"mcpServers": { "faktry": { "command": "npx", "args": ["-y", "@faktry/mcp"], "env": { "FAKTRY_API_KEY": "YOUR_API_KEY_HERE" } } } }
Zed (settings.json, %APPDATA%\Zed\settings.json on Windows):
{
"context_servers": { "faktry": { "source": "custom", "command": "npx", "args": ["-y", "@faktry/mcp"], "env": { "FAKTRY_API_KEY": "YOUR_API_KEY_HERE" } } } }
Leave FAKTRY_API_KEY out to sign in through the browser (OAuth) instead.
Kilo Code
YOUR_API_KEY_HERE with your actual key.Other MCP clients
Add a remote HTTP server pointing at https://faktry.ai/api/mcp with header:
Authorization: Bearer YOUR_API_KEY_HERE
Full per-client snippets and paths are also generated at faktry.ai/mcp.
Your client picks which tool to call based on your prompt — you don't need to invoke them by name. faktry exposes 70+ tools across five categories:
| Category | Examples | What it covers |
|---|---|---|
faktry_image_* | generate, edit, inpaint, outpaint, upscale, removebackground, effects, collage, watermark, smartcrop | Text-to-image, editing, upscaling, background removal, compositing |
faktry_video_* | text2video, image2video, avatar, motioncontrol, subtitle, reframe, stabilize, upscale, scenedetect | Generation, editing, avatars, motion control, subtitles, reframing |
faktry_audio_* | generatespeech, clonevoice, generatemusic, generatesound, mix, transcribe, trim | Speech synthesis, voice cloning, music/SFX generation, mixing |
faktry_pdf_* | create, merge, split, compress, extract, mdconvert | PDF creation and manipulation |
faktry_3d_* | image23d, text23d | 3D asset generation from images or text |
Plus utility tools:
| Tool | What it does |
|---|---|
faktry_job_status | Poll an async job by job_id until it's completed, returning result_url |
faktry_credits | Check credit balance and current-month usage |
faktry_library_list | Browse previously saved media assets |
faktry_library_save | Save a result URL to the library for reuse across sessions |
Most generation tools (video, some image/audio) are async:
job_id.faktry_job_status with that job_id every few seconds.completed, the response contains result_url.faktry_library_save.Try these once faktry is connected:
Generate a studio product shot of a matte black wireless speaker on a
white background, then upscale it to 4K.
Turn this product image into a 9:16 UGC-style video with a voiceover reading the description, and add subtitles.
Remove the background from this photo, then composite it onto a gradient backdrop.
Clone this voice sample and generate a 30-second narration reading this script.
Check my faktry credits, then show me what's in my library.
Tools don't appear after connecting
claude mcp list should show the server.codex mcp list should show faktry. Start a new session after adding.Authentication or API key errors
YOUR_API_KEY_HERE was replaced with a real, active key from faktry.ai/api/keys — keys are shown only once at creation.A generation keeps loading
Video renders and some audio/image jobs take longer than a plain image generation. The tool returns a pending job_id immediately — keep polling faktry_job_status until it reports completed.
MIT © faktry