Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Design system contracts, docs search, and usage validation for @digitaltableteur components.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://www.digitaltableteur.com/mcpRun this in your terminal
claude mcp add --transport http digitaltableteur https://www.digitaltableteur.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"digitaltableteur": {
"url": "https://www.digitaltableteur.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"digitaltableteur": {
"type": "http",
"url": "https://www.digitaltableteur.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://www.digitaltableteur.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified against the domain digitaltableteur.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (2.0.0) reached the registry 42 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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"Iteration beats perfection—ship today, learn tomorrow, refine forever."
Digitaltableteur is a hybrid monorepo portfolio website featuring both Next.js 16 (production) and Vite (legacy) applications. Built with React 19 and TypeScript 6.x, it showcases a comprehensive design system, multi-language support (EN/FI/SV), AI-powered chat interface, and enterprise-grade tooling including Sentry observability, Linear issue management, and MCP (Model Context Protocol) integrations.
# Clone repository
git clone https://github.com/PetriLahdelma/digitaltableteur.git cd digitaltableteur
npm install
cp .env.example .env.local
Required for development:
# Analytics
VITE_GA_ID=G-XXXXXXXXXX # Google Analytics 4
VITE_EMAILJS_SERVICE_ID=service_xxx VITE_EMAILJS_TEMPLATE_ID=template_xxx VITE_EMAILJS_PUBLIC_KEY=xxx
FIGMA_TOKEN=figd_xxx # Figma design access GITHUB_MCP_PAT=github_pat_xxx # GitHub operations CONTEXT7_API_KEY=xxx # Context7 documentation access
LINEAR_API_KEY=lin_api_xxx LINEAR_TEAM_ID=xxx LINEAR_PROJECT_ID=xxx
AKAUNTING_API_USERNAME=admin@digitaltableteur.com AKAUNTING_API_PASSWORD=xxx AKAUNTING_COMPANY_ID=1
Production only:
CV_PASSWORD=xxx # Secure resume download
OPENAI_API_KEY=sk-xxx # AI chat functionality SENTRY_DSN=https://xxx@xxx.ingest.sentry.io/xxx SENTRY_AUTH_TOKEN=xxx # Source map upload
See .env.example for complete list with descriptions.
# Next.js dev server (production app)
npm run dev # http://localhost:3001
npm run storybook # http://localhost:6010
# Type checking
npm run typecheck # TypeScript validation across project
npm run lint # ESLint + Stylelint npm run lint:fix # Auto-fix linting issues
npm test # Run all tests (Vitest) npm run test:watch # Watch mode npm run test:coverage # Coverage report (>80% target) npm run test:a11y # Accessibility tests (axe-core) npm run test:visual # Visual regression (Playwright + Storybook)
npm run typecheck && npm run lint && npm test && npm run build
# GitHub MCP Server
npm run github:mcp:test # Test connectivity and authentication
npm run figma:mcp:test # Test connectivity and authentication
npm run context7:mcp # Launch locally (respects CONTEXT7_API_KEY) npm run context7:mcp -- --remote-check # Test remote endpoint
npm run ts:mcp:status # Validate TypeScript language server npm run ts:mcp:status:stub # Generate stub status
npx tsx scripts/linear/create-issue.ts # Interactive issue creation npx tsx scripts/linear/update-issue.ts --issue DIG-16 --state "Done" npx tsx scripts/linear/check-issue.ts DIG-16 # Display issue details
node scripts/sentry-mcp.js issues digitaltableteur 10 --unresolved npm run generate-sentry-summary # Generate dashboard data
# Next.js production build
npm run build # Output: .next/
npm run build-storybook # Output: storybook-static/
# Vite to GitHub Pages
npm run deploy # Build + gh-pages deployment
npm run deploy-with-storybook # Deploy with visual regression report
npm run cache-bust # Add version metadata + .nojekyll
vercel --prod
Hybrid Deployment Strategy:
https://digitaltableteur.com)https://nextjs-app.vercel.app)/api/* routes)vercel.json)Vite Build:
Next.js Build:
The project uses a hierarchical CLAUDE.md/AGENTS.md system optimized for AI assistants:
Root Documentation (Universal Rules)
├── CLAUDE.md (380 lines) # Comprehensive authority for Claude Code ├── AGENTS.md (150 lines) # Quick reference for generic agents └── .github/copilot-instructions.md # GitHub Copilot specific
Subdirectory Documentation (Specific Context) ├── app/CLAUDE.md + AGENTS.md # Next.js App Router patterns ├── shared/components/CLAUDE.md + AGENTS.md # Component library rules ├── docs/AGENTS.md # Documentation navigation └── scripts/AGENTS.md # Automation patterns
Claude Code Configuration ├── .claude/settings.json # Hooks (auto-format, safety checks) └── .claude/commands/ # Custom slash commands ├── review.md # Comprehensive code review ├── fix-issue.md # GitHub issue workflow ├── create-component.md # Component generation └── create-linear-issue.md # Issue creation
CLAUDE.md (Claude Code Authority)
AGENTS.md (Generic AI Quick Reference)
Claude Code Enhancements
/review, /fix-issue, /create-component, /create-linear-issueClaude Code (automatic):
/review # Comprehensive code review
/fix-issue 123 # Analyze and fix GitHub issue /create-component Button # Generate component (5 files) /create-linear-issue Implement X # Create Linear issue
Generic AI Agents (manual reference):
cat AGENTS.md # Root rules
cat app/AGENTS.md # Next.js patterns cat shared/components/AGENTS.md # Component rules
Documentation:
If you need the raw design data, you can download the Figma file as JSON. Set the FIGMA_TOKEN environment variable with your personal access token, then run:
npm run fetch-figma
Synchronizes design tokens and assets from Figma using the API. The file is saved as figma.json in the project root.
npm run generate:sitemap # Generate XML sitemap
npm run generate:llms # Create LLM-friendly content index npm run generate:alt-text # Generate accessibility descriptions (requires OPENAI_API_KEY)
generate:alt-text streams local image bytes to the OpenAI Vision API so it can describe the actual artwork; add OPENAI_API_KEY (and optionally OPENAI_ALT_MODEL) to .env.local before running, or append --force to regenerate every alt attribute.
Quick Publish Workflow:
# Publish single article from Sanity
npm run sanity:publish-single
npm run sanity:publish
docs/SANITY_PUBLISHING_AUTOMATION.md for the complete automated publishing workflowdocs/SANITY_MIGRATION.md for the full migration workflow (React → Sanity via sanity:parse-posts / sanity:convert / sanity:upload, Sanity → MDX via sanity:sync-from-remote, redirects generation, cleanup helpers)digitaltableteur/
├── app/ # Next.js 16 App Router (production) │ ├── layout.tsx # Root layout with providers │ ├── page.tsx # Home page (server component) │ ├── about/page.tsx # Route pages │ ├── blog/[slug]/page.tsx # Dynamic routes │ └── api/*/route.ts # API routes (Vercel functions) │ ├── src/
Only the beginning is shown; read the rest in the repo