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)
MCP server for Pixapi: check live credit pricing and balance, then generate images and video.
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.pixapi.ai/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"pixapi": {
"command": "npx",
"args": [
"-y",
"pixapi-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add --transport http pixapi https://api.pixapi.ai/mcpclaude mcp add pixapi -- npx -y pixapi-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"pixapi": {
"url": "https://api.pixapi.ai/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"pixapi": {
"command": "npx",
"args": [
"-y",
"pixapi-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": {
"pixapi": {
"type": "http",
"url": "https://api.pixapi.ai/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"pixapi": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"pixapi-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.pixapi.ai/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7日
注册名称已通过 GitHub 账户 Pixapi-AI 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。
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(0.1.4)于2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。
Use Pixapi image and video generation tools from MCP clients.
https://api.pixapi.ai/mcpConfigure your project automatically (Node.js 22+):
npx -y pixapi-mcp init --client codex
Replace codex with your client, or use --client all for all five:
| Client | --client | Configuration file |
|---|---|---|
| Claude Code | claude-code | .mcp.json |
| Cursor | cursor | .cursor/mcp.json |
| Codex | codex | .codex/config.toml |
| VS Code / GitHub Copilot | vscode | .vscode/mcp.json |
| Gemini CLI | gemini-cli | .gemini/settings.json |
Without --client, the default is Claude Code and Cursor (--client both). Use --project /path/to/project to configure another project.
Reload your MCP client and connect to pixapi. Complete its browser sign-in and authorization prompt the first time. The client saves the OAuth session and refreshes it automatically; no API key or credential editing is required. The client may ask you to sign in again if authorization is revoked or expires. Each client manages its own native OAuth session.
init configures a direct remote HTTP connection by default. If your client has an Add MCP Server interface, you can also enter the endpoint URL there without installing this npm package or Node.js.
Codex requires a trusted project. In VS Code, use MCP: List Servers to start pixapi; in Gemini CLI, use /mcp to inspect it. Complete any client trust or sign-in prompt. init does not change client security policies.
Claude Code:
{"mcpServers":{"pixapi":{"type":"http","url":"https://api.pixapi.ai/mcp"}}}
Cursor uses the same mcpServers entry with url and no type field. VS Code uses servers with type: "http" and url. Gemini CLI uses mcpServers with httpUrl.
Codex:
[mcp_servers.pixapi]
url = "https://api.pixapi.ai/mcp"
Running init updates the pixapi entry and preserves other servers and settings. VS Code JSONC comments are preserved. Codex TOML settings are preserved, but comments and formatting are not. All selected configurations are parsed before writing; a filesystem failure during writes can still leave some files updated. Correct the local issue and rerun init.
For clients that need stdio, configure the bridge explicitly:
npx -y pixapi-mcp init --client cursor --transport stdio
The generated entry runs npx -y pixapi-mcp proxy without credentials. Registry installations of the npm package also start the bridge directly: no separate init command or environment variable is required.
The bridge completes the local MCP handshake immediately. On the first tool request it opens browser authorization, then forwards tools to Pixapi. Subsequent connections reuse the saved session and refresh tokens automatically. For clients with a short tool-discovery timeout, sign in once beforehand:
npx -y pixapi-mcp login
If a client times out during the initial browser sign-in, complete sign-in and reconnect the client. No authorization URL, code, or token is printed to MCP stdout or error output.
OAuth sessions are stored per endpoint in ~/.pixapi/oauth- .json. On macOS and Linux, the directory uses mode 0700 and files use 0600. Writes are atomic; concurrent bridge processes share an authorization lock. PKCE verifiers and callback state are kept only in memory. The callback binds to loopback on the same host as the bridge. For a headless or remote host, prefer the client's native remote OAuth connection.
Existing API key configurations remain compatible. For an explicit API key installation, set PIXAPI_API_KEY when running init; it configures stdio and saves the key privately in ~/.pixapi/mcp-credentials.json. An explicit --transport remote always selects native OAuth, even if that variable is set. The proxy also accepts PIXAPI_API_KEY directly for unattended deployments.
The proxy gives an explicit environment key priority, then a saved OAuth session, then a legacy key file. To migrate an existing bridge to OAuth, run pixapi-mcp login and remove any PIXAPI_API_KEY override from its environment. Keys and tokens never appear in generated project configurations.
This package forwards the live tool list from the remote Pixapi MCP endpoint. After you connect, call tools/list or pixapi_get_pricing_and_balance for the current catalog.
pixapi_get_pricing_and_balanceReturns your current balance and live image/video model pricing. Each catalog row includes a type:
text_to_image, image_to_imagetext_to_video, image_to_videoRows marked mcp_generate_supported=true can be called through the matching generate tool.
pixapi_generate_imageStarts an asynchronous image task and returns a task_id. Use type=text_to_image for a prompt-only request, or type=image_to_image with the image field. The tool accepts the image models in the live catalog, including Gemini, GPT Image, Flux, Seedream, Qwen, and Wan.
This call consumes account credits. It is not idempotent: repeating the same call creates another task and may charge the account again.
pixapi_generate_videoStarts an asynchronous video task and returns a task_id. Use type=text_to_video for a prompt-only request, or type=image_to_video with the image field. Pass seconds and resolution as required by the selected model.
This call consumes account credits and is not idempotent.
pixapi_get_taskRetrieves an image or video task owned by the authenticated account. Poll this tool with the returned task_id until the status is completed or failed. A completed task includes media URLs.
Recommended agent flow:
pixapi_get_pricing_and_balance.mcp_generate_supported=true and check the balance.pixapi_generate_image or pixapi_generate_video once and retain its task_id.pixapi_get_task every few seconds.pixapi-mcp init [--client <name|all|both>] [--project <path>] [--transport <remote|stdio>]
pixapi-mcp login pixapi-mcp proxy pixapi-mcp --help
With no arguments, the package starts the stdio proxy.
pixapi server, and complete project trust and browser sign-in. For stdio, ensure Node.js 22+ and npx are available on the host running the bridge.pixapi-mcp login for the bridge and complete browser authorization.~/.pixapi/.For service documentation, visit Pixapi docs.
This server is published to the official MCP Registry as io.github.Pixapi-AI/pixapi-mcp, with both connection methods declared in server.json: the remote endpoint and the npm package. Both support OAuth without a required API key starting with version 0.1.4.
curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.Pixapi-AI/pixapi-mcp"
Set matching versions in package.json, package-lock.json, and server.json before pushing the corresponding v* tag. The release workflow installs locked dependencies, runs checks, and validates the Registry manifest before publishing. Manual runs must also select that release tag. A rerun compares existing npm package integrity and Registry metadata and only publishes missing steps; conflicting contents require a new version. Registry authentication uses GitHub OIDC, without a stored Registry token.