V0
v0 is an AI-powered web development assistant built by Vercel, designed to generate real, production-ready code for modern web applications.
Verdict
Common use cases
- Review V0 design iterations in team chat
- Pull project context into sprint planning
- Prototype UI ideas with AI assistance
- List favorite chats for quick reference
- Generate conversational design feedback
Integration
- Vendor
- V0
- Category
- other
- Auth
- API_KEY
- Tools
- 3
- Composio slug
v0
Tools
- Find Chats
Tool to retrieve a list of chats. use when you need to list user chats with pagination and optional favorite filtering after authentication.
- Find Projects
Tool to retrieve a list of projects associated with the authenticated user. use after obtaining a valid api key.
- V0 Chat Completions
Tool to generate a chat model response given a list of messages. use when you need ai-powered conversational replies via the v0 api.
Setup
Setup guide
- 11. In Switchy, open your workspace settings and navigate to the Integrations page. 2. Find V0 in the list and click Connect. 3. You'll be prompted to enter a V0 API key — generate one by logging into your V0 account at v0.dev, going to Settings or API Keys, and creating a new key with read access to projects and chats. 4. Paste the key into Switchy and click Authorize. 5. To test the connection, open any Space and type '@V0 list my projects' — you should see a response listing your V0 projects. 6. To invoke the chat model, try '@V0 generate a response about [topic]' and confirm you receive a conversational reply. 7. If the connection fails, double-check that your API key hasn't expired and that you've granted the necessary scopes in V0.
What teammates see: by default, memories from V0 are scoped to the Space (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Spaces have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
List My V0 Projects
@V0 list all my projects and show me the most recently updated ones firstOpen in a Space →
Find Favorite Chats
@V0 show me my favorite chats from the last two weeksOpen in a Space →
Generate UI Feedback
@V0 generate a response critiquing a card component with rounded corners and a drop shadowOpen in a Space →
Summarize Project Status
@V0 list my projects and then generate a brief status update for each oneOpen in a Space →
Explore Chat History
@V0 retrieve the first 10 chats from my history and summarize their topicsOpen in a Space →
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@V0 show me my last 10 projects and tell me which ones have the most recent activity
Retrieved 10 projects from your V0 account. Most recent activity: 'Dashboard Redesign' (updated 2 hours ago), 'Marketing Site Refresh' (updated yesterday), and 'Component Library v2' (updated 3 days ago). The other 7 projects haven't been touched in over a week. Dashboard Redesign has 14 chats associated with it, suggesting active iteration.
This example uses the Find Projects tool to list account projects, then applies AI reasoning to surface recency patterns. Requires a valid V0 API key with read access to projects. The output reflects the state of your V0 account at query time—project names and timestamps will vary.
@V0 generate a conversational response explaining how to implement dark mode in a Next.js app using Tailwind
V0's chat model suggests: Start by installing `next-themes` for theme persistence. Wrap your app in a ThemeProvider, then use Tailwind's `dark:` variant classes on components. For example, `className='bg-white dark:bg-gray-900'` toggles background color. Add a theme toggle button that calls `setTheme('dark')` or `setTheme('light')`. This approach respects user preference and persists across sessions.
This example invokes the V0 Chat Completions tool to generate an AI response. The model's output is conversational and context-aware, but not deterministic—rephrasing the same prompt may yield different wording. Useful for generating explanations or design guidance within a Space workflow.
@V0 list my favorite chats and summarize what each one was working on
Found 4 favorited chats. 'Hero Section Ideas' explored layout options for a SaaS landing page. 'Form Validation Patterns' discussed client-side vs. server-side validation trade-offs. 'Responsive Grid Tweaks' iterated on a 3-column card layout for mobile. 'Accessibility Audit' reviewed ARIA labels and keyboard navigation for a checkout flow.
This example uses Find Chats with the favorites filter, then applies AI summarization to describe each chat's focus. Pagination is automatic if you have more than the default page size. The summaries are inferred from chat metadata—actual V0 chat content may be richer than what's surfaced here.
Use-case deep-dives
When V0 replaces your design-to-code workflow
A 3-person startup with one designer and two engineers uses V0 to bridge the gap between Figma mockups and production code. The designer generates component variants in V0, saves them as projects, and the engineers pull those projects via the MCP to iterate in their own environment. This works when your design system is still fluid and you're shipping features daily. The chat completions tool lets the team ask V0 to refactor components without leaving their workspace. The threshold: if you're already locked into a mature component library or your designer codes in React, V0 adds friction instead of removing it. For early-stage teams moving fast on UI, this MCP turns V0 into a shared design artifact store that lives in your AI workspace.
V0 for support teams debugging user-facing layouts
A 5-person support team fields tickets about broken mobile layouts and inconsistent button states. They use the V0 MCP to search past chats where engineers prototyped fixes for similar UI bugs, then generate new variants on the spot using chat completions. The find-chats tool filters by favorites, so the team bookmarks canonical solutions and retrieves them in seconds. This scenario wins when your product has a high volume of UI edge cases and your support team needs to mock up fixes before escalating to engineering. It falls apart if your engineers don't use V0 in the first place—there's no chat history to search. For support teams embedded in a V0-heavy product org, this MCP turns tribal knowledge into searchable, generative documentation.
When V0 projects become your review artifact library
A 12-person agency runs weekly design reviews where account managers, designers, and developers critique client work. They use the V0 MCP to pull all active projects into a shared workspace, tag them by client, and generate comparison views using chat completions. The find-projects tool surfaces every in-flight design without manual exports or Slack threads. This works when your agency ships 10+ client projects a month and needs a single source of truth for design iterations. The trade-off: V0 projects are code-first, so if your review process prioritizes static comps or brand guidelines, this MCP won't replace Figma or Notion. For agencies where developers lead design reviews and clients approve working prototypes, this MCP consolidates your artifact layer.
Frequently asked
What does the V0 MCP do in Switchy?
The V0 MCP connects Switchy to V0's AI chat and project management features. Your team can retrieve chat histories, list projects tied to your V0 account, and generate AI-powered conversational responses without leaving Switchy. It's useful if you're already using V0 for design or prototyping work and want that context available in your shared workspace.
Do I need a V0 API key to set this up?
Yes. V0 uses API key authentication, so you'll need to generate one from your V0 account settings before connecting the MCP in Switchy. Whoever sets it up should have access to the V0 account you want to pull data from. The key stays encrypted in Switchy and is only used when your team invokes a V0 tool.
Can the V0 MCP create new projects or edit existing ones?
No. The three available tools are read-only or response-generation focused: you can list chats, list projects, and generate chat completions. If you need to create or modify V0 projects, you'll still do that directly in the V0 app. This MCP is for pulling context into Switchy, not managing your V0 workspace.
Why use this instead of just opening V0 in another tab?
If your team's workflow lives in Switchy, the MCP saves context-switching. You can query V0 chat history or project lists inline, then use that data in a Switchy conversation or automation. It's faster than copying and pasting between tools, and the API key setup means everyone on your team can access the same V0 account without sharing credentials.
Does connecting V0 count against my Switchy plan limits?
MCP connections themselves don't consume seats or storage in Switchy. However, every time your team invokes a V0 tool, it counts as an API call against your V0 account's rate limits and any usage-based billing V0 enforces. Check your V0 plan to understand those constraints before heavy use.