// ~/Library/Application Support/Claude/claude_desktop_config.json { "mcpServers": { "uwc": { "url": "https://uwc-mcp.vercel.app/api/mcp" } } }
// .cursor/mcp.json (project) or ~/.cursor/mcp.json (global) { "mcpServers": { "uwc": { "url": "https://uwc-mcp.vercel.app/api/mcp" } } }
// ~/.codeium/windsurf/mcp_config.json { "mcpServers": { "uwc": { "serverUrl": "https://uwc-mcp.vercel.app/api/mcp" } } }
// .vscode/mcp.json { "servers": { "uwc": { "type": "http", "url": "https://uwc-mcp.vercel.app/api/mcp" } } }
// stdio transport — no internet required after first run { "mcpServers": { "uwc": { "command": "npx", "args": ["-y", "@uwckit/mcp@latest"] } } }
A plain-text reference of all 51 components optimised for AI models. Paste the URL or file contents directly into any AI chat — works without MCP or any configuration.
https://uwc-mcp.vercel.app/llms.txt
Download the file and attach it to Claude, ChatGPT, or Gemini as context for your question.
Some AI tools (Claude.ai) can fetch URLs — just paste the link and ask your question.
curl -o llms.txt https://uwc-mcp.vercel.app/llms.txt
Click any button above to fire a live request...
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