MCP Workflow for Figma to Dev Handoffs.
The designer finished the mockup two weeks ago and the developer just discovered it has 47 components but zero specs , now the sprint is blocked by a 'quick question' Slack thread with 130 messages
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent reads a Figma design file when the designer marks it as ready for handoff. It analyzes the file structure: pages, frames, components, text styles, color variables, spacing values, responsive variants.
For each component, it extracts implementation-relevant data: 'Button/Primary , background: #2563EB, text: #FFFFFF, padding: 12px 24px, border-radius: 8px, font: Inter 600 14px/20px.
States: default, hover (#1D4ED8), disabled (opacity 50%). Responsive: full-width on mobile.' Then it creates ClickUp tasks , one per component or per page section , with the extracted specs as the description: 'Implement Button/Primary component.
Specs: [extracted values]. Acceptance criteria: matches Figma file, all states working, responsive behavior verified.' Finally, it posts the handoff summary to Discord: '12 components ready for implementation.
Priority: Navigation, Hero, CTA. 4 tasks created in ClickUp Sprint 24. Figma link attached.' No 'quick question' threads needed.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Figma, ClickUp and Discord MCP servers so your AI agent reads design files and components from Figma, creates structured implementation tasks in ClickUp with design specs extracted from the file, and posts design handoff summaries to Discord. Design and engineering teams where handoff means 'here is the Figma link, good luck' , and every implementation generates 20 back-and-forth questions , get structured handoffs with component-level specs, extracted style values, and pre-created tasks that developers can actually execute.
Figma
triggerReads design files, components, styles, variables and version history
get_file get_file_nodes list_components list_styles Clickup
actionCreates structured implementation tasks with extracted design specs and acceptance criteria
create_new_task list_list_tasks list_workspace_spaces list_space_folders Discord
actionPosts design handoff announcements with component summaries and implementation priorities
create_message list_guild_channels get_channel Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Figma, Clickup & Discord ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
Design teams who want structured handoffs instead of 'here is the Figma link' followed by 130 messages of clarification
Engineering teams who need implementation tasks with extracted specs instead of ambiguous design references
Product managers coordinating design-to-dev pipeline who need visibility into what is ready and what is blocked
Agencies delivering client work where design fidelity is contractual and pixel-perfect implementation is required
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Figma, ClickUp and Discord. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the MCP servers and paste a prompt.
Can I use Linear or Asana instead of ClickUp?
Yes. Swap the ClickUp MCP for Linear or Asana. Task creation with specs works the same way across project management tools.
Is my design data secure?
MCP servers authenticate through API keys. Figma and ClickUp data stays in your accounts. Discord messages go to your server. Vinkius does not store your design files.
MCP Servers That Catch Design Drift Early
The designer updated the button radius to 12px in Figma three weeks ago but the frontend still has 8px , nobody noticed because there is no system that compares what is designed with what is deployed
Publish Designs to Webflow Using MCP Servers
Your designer finishes the Figma mockup on Tuesday, the social media manager recreates it in Canva on Wednesday, and the web developer rebuilds it in Webflow on Thursday , three people doing versions of the same work for the same client
Ship Design Handoffs Smoothly Using MCP Servers
Design files reviewed, dev tasks created and team notified , one conversation, zero handoff meetings
Generate Agency Reports Automatically Using MCP
Your project manager spends every Friday afternoon building 12 client reports from scratch , copying task statuses from ClickUp and time entries from Harvest into spreadsheets instead of billing those 6 hours
MCP Servers for Multi-Client Sprint Management
Your dev team tracks their work in Linear but the PM reports to clients in ClickUp , which means every sprint update is manually transcribed between two tools, and by the time the client sees it in ClickUp the data is already outdated
MCP Servers for Small Business Operations
Tasks organized, design templates found, team updates posted , run your small business from one conversation
MCP servers used in this workflow
Figma
Figma MCP Server connects your AI agent directly to your design files. Inspect design structures, render layers as PNG, SVG, or PDF, and manage team comments without leaving your chat window. Use tools like `get_local_variables` to pull design tokens or `list_components` to survey your system's available assets. It turns Figma into an actionable data source for developers and PMs.
ClickUp
ClickUp. Manage your entire project lifecycle directly from your AI agent. Use this server to list workspaces, check task statuses, create to-dos, and map out complex project hierarchies without opening the ClickUp dashboard. It gives your agent full visibility into your team's structure, from top-level workspaces down to individual subtasks.
Discord
Discord MCP Server gives your AI agent full control over Discord communities. You can list channels, manage members, send messages with Markdown, and run moderation commands—all without leaving your chat client. It lets your agent read channel history, audit server metadata, and delete messages or channels instantly.