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)
Image, video, audio, face-swap, talking avatars and chat across 300+ AI models, one balance.
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。
Authorization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 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http avots https://mcp.avots.ai/ --header 'Authorization: your-value'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": {
"avots": {
"url": "https://mcp.avots.ai/",
"headers": {
"Authorization": "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": {
"avots": {
"type": "http",
"url": "https://mcp.avots.ai/",
"headers": {
"Authorization": "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。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 必填 HTTP header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8日
注册名称已通过 GitHub 账户 avotsai 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:Authorization
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(1.0.0)于5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。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。
Official MCP (Model Context Protocol) server for [avots.ai](https://avots.ai) - a multi-provider AI platform.
One connection gives you:
The server lives at `https://mcp.avots.ai/` and speaks the MCP 2025-06-18 spec over Streamable HTTP. Tools are billed per call against your avots balance (same balance you'd see on the web app or the Telegram bot).
av_mcp_<48hex>).| Client | Guide | Auth model |
|---|---|---|
| Claude.ai web | docs/claude-web.md | OAuth - paste URL, click Connect, sign in (no token copy-paste) |
| Claude Desktop | docs/claude-desktop.md | Bearer token via mcp-remote |
| Claude Code (CLI) | docs/claude-code.md | Bearer token via claude mcp add |
| Cursor | docs/cursor.md | Bearer token via mcp-remote |
| Cline | docs/cline.md | Bearer token via mcp-remote |
| Any other MCP client | docs/tools.md - endpoint + tool list | Bearer header Authorization: Bearer av_mcp_… |
Ready-to-paste mcp.json snippets live under examples/.
Nineteen tools, all documented in docs/tools.md:
| Tool | Cost | What it does |
|---|---|---|
check_balance | free | Current tokens, subscription tier and the full pricing catalog. |
list_models | free | All active models with per-call cost (filter by chat, image, video, audio). |
list_avatars | free | The user's saved reusable face identities. |
list_trends | free | The avots Studio catalog of viral templates (face-swap videos, ads, animations). |
check_job | free | Poll any async job by job_id. |
chat | ~10-1000 ⚡ | Send a prompt to any chat model. Useful for delegating to GPT, DeepSeek, Sonar, etc. |
generate_image | ~200-500 ⚡ | Sync image gen AND photo editing (image_urls). Recraft can return native vector SVG (format: "svg", 2x). |
generate_video | ~200-5000 ⚡ | Async video gen with two-step confirmation; supports i2v, multi-photo character refs and motion-reference clips. |
face_swap_video | ~500-2000 ⚡ | Swap the face in an existing video with a photo (or saved avatar). Two-step. |
edit_video | ~450 ⚡/sec | Scene edit of an existing clip by text prompt; person, motion and original audio preserved. Two-step. |
lipsync_video | ~300-600 ⚡ | Re-voice an existing talking video: new text (TTS) or a ready audio track. Two-step. |
create_avatar | free / ~200-500 ⚡ | Save a reusable face identity from a photo (free) or generate one from a description. |
generate_talking_avatar | ~600-2500 ⚡ | A portrait speaks your exact text: TTS + lip-sync, quality/fast tiers. Two-step. |
generate_vlog | preview shows price | Vertical AI-influencer clip for Shorts / TikTok: the server writes the line from your topic. Two-step. |
generate_audio | ~50-800 ⚡ | Music (ElevenLabs Music, ACE-Step, Stable Audio) or TTS narration incl. cloned voices. Async. |
create_montage | ~200 ⚡ | Slideshow reel from 4-25 photos: Ken Burns + crossfades + music. |
create_travel_poster | ~200-500 ⚡ | Face photo → vintage travel poster of any country. Synchronous. |
recreate_trend | per trend | Put the user's face into a viral template from list_trends. |
create_calendar_event | ~5 ⚡ | Natural language → event in the linked Apple/Google calendar (or an .ics download). |
About the two-step video flow. Video is the most expensive tool. To avoid surprise spend,
generate_videoreturns a preview card the first time it's called (no submit, no reserve). The client (e.g. Claude) shows the cost + alternative models with prices and asks the user. The user confirms, the client re-calls with the chosenmodel+confirmed: true, and only then does the job get submitted. On submit error the server returns the same alternatives card - it never silently swaps to a pricier model.
A few things this is actually useful for. Each one chains two or more tools through one connection and one balance.
Each of these flows is written out as a runnable script — exact prompt, tool sequence, model picks, cost — in docs/recipes.md.
Cost ranges from ~200⚡ for a single image to ~5000⚡ for a 10-second 1080p Kling Pro clip — run list_models (free) at any time for live per-call prices.
All tool calls bill against your avots balance, just like the web app and Telegram bot. No separate metering. Daily USD cap (set in Settings) and per-key rate limits apply.
See pricing.avots.ai for token packs and subscriptions.
Common cross-client issues (401s, daily caps, two-step video flow, image rendering, npx PATH gotchas) are collected in docs/troubleshooting.md. For client-specific setup, see the per-client guide linked in the table above.
Open an issue here, or write to hello@avots.ai. For platform questions (billing, models, web app) the Telegram bot @AvotsAIbot is the fastest channel.
MIT - feel free to fork the docs, the examples, and anything else here.