name: v0 description: AI-powered UI generation via v0 MCP. Create chats, generate React components, get design assistance. Use when building UI components, dashboards, or need AI design help. mcp: v0: command: npx args: ["mcp-remote", "https://mcp.v0.dev", "--header", "Authorization: Bearer ${V0_API_KEY}"] env: V0_API_KEY: "${V0_API_KEY}"
v0 AI Code Generation (MCP)
Access v0's AI-powered code generation via MCP. When this skill is loaded, the v0 MCP server auto-starts and exposes tools for creating and managing v0 chats.
Prerequisites
Set your v0 API key as an environment variable:
export V0_API_KEY="your-v0-api-key"
To get your v0 API key:
- Go to v0 account settings
- Create a new API key
- Copy and set as environment variable
Quick Start
After loading this skill, list available tools:
skill_mcp(skill_name="v0", list_tools=true)
Then invoke tools:
skill_mcp(skill_name="v0", tool_name="create_chat", arguments='{"prompt": "Create a React dashboard component with a sidebar"}')
Available Tools
create_chat
Create a new v0 chat with a prompt.
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt |
string | Yes | The prompt for v0 to generate code |
Example:
skill_mcp(skill_name="v0", tool_name="create_chat", arguments='{"prompt": "Build a responsive navbar with dark mode toggle"}')
get_chat
Get details about an existing chat.
| Parameter | Type | Required | Description |
|---|---|---|---|
chatId |
string | Yes | The v0 chat ID |
Example:
skill_mcp(skill_name="v0", tool_name="get_chat", arguments='{"chatId": "abc123"}')
find_chats
Search through your v0 chats.
| Parameter | Type | Required | Description |
|---|---|---|---|
query |
string | No | Search query |
Example:
skill_mcp(skill_name="v0", tool_name="find_chats", arguments='{"query": "React components"}')
send_message
Continue a conversation in an existing chat.
| Parameter | Type | Required | Description |
|---|---|---|---|
chatId |
string | Yes | The v0 chat ID |
message |
string | Yes | Message to send |
Example:
skill_mcp(skill_name="v0", tool_name="send_message", arguments='{"chatId": "abc123", "message": "Add dark mode support"}')
Workflow
1. Generate a New Component
# Create a new chat with your requirements
skill_mcp(skill_name="v0", tool_name="create_chat", arguments='{"prompt": "Create a modern pricing table with 3 tiers using Tailwind CSS"}')
# The response includes a chat ID and generated code
2. Iterate on Design
# Send follow-up messages to refine
skill_mcp(skill_name="v0", tool_name="send_message", arguments='{"chatId": "chat-id-here", "message": "Make the recommended tier more prominent with a gradient border"}')
3. Search Previous Work
# Find relevant previous chats
skill_mcp(skill_name="v0", tool_name="find_chats", arguments='{"query": "dashboard"}')
Use Cases
- Component Generation: Create React/Next.js components from descriptions
- UI Prototyping: Rapidly prototype UI ideas
- Design Iteration: Refine designs through conversation
- Code Assistance: Get help with Tailwind CSS, responsive design, etc.
Tips
- Be specific in prompts - include framework (React, Next.js), styling (Tailwind, CSS), and functionality details
- Iterate using
send_messagerather than creating new chats for refinements - Search first with
find_chatsto reuse previous work - Include context about your existing design system or component patterns
Troubleshooting
"Invalid API key": Ensure V0_API_KEY environment variable is set correctly.
"Rate limit exceeded": v0 has usage limits. Wait a few minutes or check your plan.
"Chat not found": Verify the chat ID is correct. Use find_chats to list available chats.