An intelligent UI component design selection tool built on the Model Context Protocol (MCP). Allows AI assistants to present multiple UI designs for
Rakitui Ai becomes available to MCP clients through the rakitui ai mcp server. An intelligent UI component design selection tool built on the Model Context Protocol (MCP). Allows AI assistants to present multiple UI designs for user selection.
An intelligent UI component design selection tool built on the Model Context Protocol (MCP). Generate and compare UI designs using AI, or provide your own designs for selection.
Once connected, the assistant can call this tool directly:
Response — The Response tool exposed by this serverThe server is distributed via npm as rakitui-ai, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply one environment variable: MINIMAX_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
Browser automation servers are the ones people reach for when a site has no API — the assistant drives a real page instead of guessing at endpoints. Rakitui Ai sits in that group, and the shape of its toolset — Response — tells you what it is really for. Worth comparing against the other browser automation servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Response | The Response tool exposed by this server. |
{
"mcpServers": {
"rakitui-ai": {
"command": "npx",
"args": ["-y", "rakitui-ai"],
"env": {
"MINIMAX_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| MINIMAX_API_KEY | Credential the server authenticates with. | Yes |
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