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)
Royalty-free music fitted to your length: find, generate, adjust and download tracks and stems.
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://api.tuney.io/cue-engine2/connector/mcp在终端中运行这条命令
claude mcp add --transport http tuney https://api.tuney.io/cue-engine2/connector/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"tuney": {
"url": "https://api.tuney.io/cue-engine2/connector/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": {
"tuney": {
"type": "http",
"url": "https://api.tuney.io/cue-engine2/connector/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://api.tuney.io/cue-engine2/connector/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 library-x 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。
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(1.0.0)于27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。
Tuney is royalty-free music for video, ads, podcasts, games and apps, built from musical elements composed, performed and recorded by musicians and fitted to the exact length you need. This repository is the home of the Tuney MCP server: one remote server that any MCP client can use, and install instructions for the assistants and editors people ask about most.
https://api.tuney.io/cue-engine2/connector/mcp| Tool | What it does | Uses credits |
|---|---|---|
list_styles | Lists the genres, moods and tempos Tuney works with | no |
find_tracks | Finds ready-made tracks for a brief, or by genre, mood and tempo, with instant previews | no |
generate_track | Composes a new track from Tuney's hand-made elements, fitted to an exact length (5 s to 10 min) | no |
get_task / wait_for_task | Follows a generation or download until it is done | no |
get_track | Shows a track: name, preview link, length, bpm, key, style and sections | no |
adjust_track | Re-renders a track with a new length, a turning point, a fade-out or short ending, a tempo or key change, stems muted or regenerated | no |
download_track | Gives a download link for the final file as mp3, wav or stems (melody, chords, bass, drums, effects) | yes |
get_account | Shows which Tuney account is connected and its credit balance | no |
import_video | Brings in a video from a public link to the file | no |
get_video_upload_link | Gives a one-time link to send a local video file (curl -T), up to 100 MB | no |
analyze_video | Shows the picture cuts, where people speak, and a sonic-logo guess | no |
score_video | Composes music to the video's cuts, ending before the sonic logo, and renders the video with it | no |
render_video | Puts one of your tracks under a video, lowered while people speak | no |
You never call the tools yourself. Ask your assistant for what you need, for example:
File links in results (previews, downloads, rendered videos) are on api.tuney.io and expire after six hours. If your assistant runs in a sandbox with restricted network access, allow api.tuney.io.
Settings → Connectors → Add custom connector, paste the server URL, then Connect and sign in with your Tuney account. Once Tuney is listed in the Claude connector directory you can also add it from there with one click.
Install the Tuney plugin, which adds the server together with a skill that teaches Claude how to use it well:
claude plugin marketplace add library-x/tuney_claude_plugin
claude plugin install tuney@tuney
Or add just the server:
claude mcp add --transport http tuney https://api.tuney.io/cue-engine2/connector/mcp
Then run /mcp inside Claude Code and sign in in the browser window that opens. Plugin source: library-x/tuney_claude_plugin.
ChatGPT connects to MCP servers through developer mode:
Tuney, paste the server URL, set Authentication to OAuth, and create it.Developer mode is available on paid ChatGPT plans. On Team, Enterprise and Edu plans an admin may need to enable it first.
Click to install:
Or add it to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
{
"mcpServers": { "tuney": { "url": "https://api.tuney.io/cue-engine2/connector/mcp" } } }
Cursor detects that the server uses OAuth and shows a Sign in action next to it in Settings → MCP.
Add it from the command line:
code --add-mcp '{"name":"tuney","type":"http","url":"https://api.tuney.io/cue-engine2/connector/mcp"}'
Or put this in .vscode/mcp.json in your workspace (or in your user profile's mcp.json):
{
"servers": { "tuney": { "type": "http", "url": "https://api.tuney.io/cue-engine2/connector/mcp" } } }
Start the server from the MCP view or the MCP: List Servers command; VS Code opens the Tuney sign-in page the first time.
codex mcp add tuney --url https://api.tuney.io/cue-engine2/connector/mcp
codex mcp login tuney
codex mcp list shows the server and whether you are signed in. The same entry can be written by hand in ~/.codex/config.toml:
[mcp_servers.tuney]
url = "https://api.tuney.io/cue-engine2/connector/mcp"
gemini mcp add --transport http tuney https://api.tuney.io/cue-engine2/connector/mcp
Then, inside Gemini CLI, run /mcp auth tuney to sign in. The equivalent entry in ~/.gemini/settings.json:
{
"mcpServers": { "tuney": { "httpUrl": "https://api.tuney.io/cue-engine2/connector/mcp", "oauth": { "enabled": true } } } }
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "tuney": { "serverUrl": "https://api.tuney.io/cue-engine2/connector/mcp" } } }
Use the server URL with the streamable HTTP transport. The server follows the MCP authorization specification, so a client that supports OAuth 2.0 with dynamic client registration needs nothing else. For implementers, discovery lives at:
https://api.tuney.io/cue-engine2/connector/.well-known/oauth-protected-resourcehttps://api.tuney.io/cue-engine2/connector/.well-known/oauth-authorization-serverhttps://api.tuney.io/.well-known/oauth-authorization-server/cue-engine2/connector and https://api.tuney.io/.well-known/oauth-protected-resource/cue-engine2/connector/mcpClients that need a pre-registered client ID or a static token are not supported; registration is dynamic and open.
The server is published in the official MCP Registry as io.github.library-x/tuney; server.json in this repository is the listing source.
Disconnecting in your client revokes its access to your Tuney account; tracks you created stay in your account. The privacy notice describes what the server stores (short-lived sessions and tokens) and what it does not (your conversations). Questions: hello@tuney.io.
The contents of this repository are MIT licensed. Music from Tuney is licensed under the Tuney terms.