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)
End-to-end frontend engineering and design orchestrator across 16 foundational pillars.
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"pixasso": {
"command": "npx",
"args": [
"-y",
"pixasso-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add pixasso -- npx -y pixasso-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"pixasso": {
"command": "npx",
"args": [
"-y",
"pixasso-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": {
"pixasso": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"pixasso-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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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 Erebuzzz 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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.4)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。你的电脑上还需要有 Node.js。
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。
Model Context Protocol (MCP) server for Pixasso: the complete end-to-end frontend engineering and design orchestrator for AI agents and developers.
Pixasso bridges visionary art direction with robust frontend architecture across 16 foundational engineering pillars. It gives LLMs, coding assistants, and autonomous agents the ability to dynamically discover user intent, validate design tokens, compile Graphify-style architecture decision graphs, critique layouts against AI tropes, search 40 reference catalogs, and generate automated multi-viewport testing matrices.
Live Showcase & Specifications: https://pixasso.erebuzzz.tech or https://pixasso-two.vercel.app
flowchart TD
User["Developer / AI Agent Prompt"] --> Client["MCP Client (Claude / Cursor / VS Code / Antigravity)"] Client --> Server["pixasso-mcp Server (Stdio / Remote HTTP)"]
subgraph Tools ["Exposed Tools (JSON-RPC)"] T1["pixasso_discover_intent"] T2["pixasso_search_references"] T3["pixasso_fetch_reference"] T4["pixasso_generate_genome"] T5["pixasso_generate_brain"] T6["pixasso_audit_design"] T7["pixasso_generate_test_plan"] T8["pixasso_explore_taste"] T9["pixasso_seed_taste"] end
Server --> Tools
subgraph TasteBrain ["Taste Exploration Engine & Decentralized Swarm"] Router["TasteInferenceRouter (NVIDIA Nemotron 3 Ultra / Workers AI)"] D1["Cloudflare D1 SQL (pixasso-taste-db)"] KV["Cloudflare KV Edge Cache (taste:swarm:bundle)"] end
T1 --> Router T2 --> P2["40 Deep Reference Catalogs (Typography, Shaders, Layouts)"] T3 --> P3["Live DOM & Content Extraction (Linkedom, Readability, SPA Detection)"] T4 --> P4["Design Genome Specification (YAML Tokens, Verified References)"] T5 --> P5["Design Brain DAG (Mermaid Decision Graph)"] T6 --> P6["Objective Critique Engine (5-Pillar Scorecard)"] T7 --> P7["Automated Interface QA (390px, 768px, 1024px, 1440px)"] T8 --> D1 T8 --> KV T9 --> D1
Pixasso MCP ships with dual transport architectures side by side:
Connect any remote-compatible MCP client directly to:
https://mcp.pixasso.erebuzzz.tech/mcp
Connecting will open a GitHub OAuth prompt (read:user, user:email) to authorize your session. Each authenticated GitHub account receives a daily allowance of 200 tool calls.
Run instantly without local installation:
npx -y pixasso-mcp
Or install globally:
npm install -g pixasso-mcp
Add to your claude_desktop_config.json:
{
"mcpServers": { "pixasso-local": { "command": "npx", "args": ["-y", "pixasso-mcp"] }, "pixasso-remote": { "url": "https://mcp.pixasso.erebuzzz.tech/mcp" } } }
Add to your Cursor MCP settings (~/.cursor/mcp.json):
{
"mcpServers": { "pixasso-local": { "command": "npx", "args": ["-y", "pixasso-mcp"] }, "pixasso-remote": { "url": "https://mcp.pixasso.erebuzzz.tech/mcp" } } }
Add to .vscode/mcp.json (for native VS Code MCP and GitHub Copilot) or your extension settings (Cline, Roo Code, Continue):
{
"mcpServers": { "pixasso-local": { "command": "npx", "args": ["-y", "pixasso-mcp"] }, "pixasso-remote": { "url": "https://mcp.pixasso.erebuzzz.tech/mcp" } } }
Register local or remote:
# Local stdio
claude mcp add pixasso npx -y pixasso-mcp
claude mcp add pixasso-remote --transport http https://mcp.pixasso.erebuzzz.tech/mcp
Add to ~/.gemini/antigravity/mcp_config.json:
{
"mcpServers": { "pixasso": { "command": "npx", "args": ["-y", "pixasso-mcp"] }, "pixasso-remote": { "url": "https://mcp.pixasso.erebuzzz.tech/mcp" } } }
You can prompt any AI coding assistant in your IDE (Cursor, VS Code, Windsurf, Claude, Copilot, Cline, Roo Code, Antigravity) to configure Pixasso automatically. Simply copy and paste the prompt below into your assistant chat:
Please configure the Pixasso MCP server for my project and editor.
Choose one of the two options:
Add the configuration to the appropriate MCP settings file for this editor (such as .vscode/mcp.json, ~/.cursor/mcp.json, claude_desktop_config.json, or cline_mcp_settings.json) and verify that all 9 Pixasso design and architecture tools are active.
Every tool conforms to the official Model Context Protocol specification and declares all four directory hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint):
| Tool | Purpose | Key Inputs | Hints |
|---|---|---|---|
pixasso_discover_intent | Adaptive inquiry synthesizer across 16 pillars and brand genesis, powered by the Taste Inference Engine. Synthesizes 3 bespoke aesthetic worlds with compulsory popup questions. | projectArchetype, description, targetAudience, hasBrandIdentity, referenceUrls | readOnly, idempotent |
pixasso_search_references | Search across 40 curated design & architecture catalogs. | query, category, tag | readOnly, idempotent |
pixasso_fetch_reference | Fetches live HTML, extracts title/headings/readable text, detects client SPAs, and caches verified fetches. | url, focus | readOnly, openWorld |
pixasso_generate_genome | Compiles tokens, color ramps, typography, and libraries into design-genome.yaml. Enforces programmatic hard gate on verified references. | projectName, themeMode, groundTone, typography, colorTokens, references | readOnly, idempotent |
pixasso_generate_brain | Synthesizes a visual Graphify Mermaid decision graph and Task DAG. | projectName, decisions, tasks | readOnly, idempotent |
pixasso_audit_design | Evaluates markup and styling against AI design anti-patterns. | componentMarkup, contextDescription | readOnly, idempotent |
pixasso_generate_test_plan | Produces multi-viewport QA plans (390px, 768px, 1024px, 1440px). | projectName, testUrl, testedViewports | readOnly, idempotent |
pixasso_explore_taste | Explores the living Design Taste Graph across 12 movements and community-seeded directions without generic AI tropes. | query, movement, archetype, includeSwarm, limit | readOnly, idempotent |
pixasso_seed_taste | Anonymously seeds sanitized high-craft design tokens to the decentralized Taste Swarm with strict opt-in consent. | archetype, movement, typographyTokens, paletteTokens, layoutTokens, motionTokens, uisfxTokens, consentGiven | openWorld, idempotent |
compulsoryPopupQuestions include brand gates, domain decisions, and the decentralized taste swarm consent choice for presentation via ask_question.pixasso_fetch_reference inspects live pages, extracting DOM headings, metadata, visible links, and readable text via Mozilla Readability. If the page is an empty client SPA shell (under 200 characters of text), it flags renderedContentDetected: false so agents do not fabricate visual descriptions.pixasso_generate_genome must first be verified through pixasso_fetch_reference in the active session. If an unfetched URL is passed, the tool rejects the call with an informative error. Furthermore, unrendered SPA shells cannot claim epistemicStatus: 'known' without screenshot verification.sequenceDiagram
autonumber participant Agent as Autonomous Agent participant MCP as pixasso-mcp participant Engine as Design Engine
Agent->>MCP: pixasso_discover_intent(projectType) MCP-->>Agent: 16-Pillar Clarification Matrix & Brand Gate Agent->>Agent: Interactive User Alignment (ask_question) Agent->>MCP: pixasso_generate_genome(alignedSpecs) MCP-->>Agent: Validated design-genome.yaml Agent->>MCP: pixasso_generate_brain(decisions) MCP-->>Agent: Mermaid Decision Map & Component DAG Agent->>Engine: Component Fabrication (Semantic HTML5 / CSS / React) Agent->>MCP: pixasso_audit_design(componentMarkup) MCP-->>Agent: 5-Pillar Scorecard & Anti-Pattern Check Agent->>MCP: pixasso_generate_test_plan(viewports) MCP-->>Agent: Multi-Viewport Overflow Matrix (390px to 1440px)
Pixasso orchestrates 16 distinct engineering disciplines:
只显示了开头部分;其余内容请在仓库中阅读