Generates clean lorem ipsum words for mockups and testing. Call via MCP in Cursor or Windsurf, or hit GET /v1/lorem/words directly. Returns standard Latin placeholder text like "lorem ipsum dolor sit amet" — perfect for AI agents building prototypes or filling content templates without real data distractions.
curl "https://tinyfn.io/v1/lorem/words" \
-H "X-API-Key: YOUR_API_KEY"const response = await fetch('https://tinyfn.io/v1/lorem/words', {
headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);import requests
response = requests.get('https://tinyfn.io/v1/lorem/words',
headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's lorem ipsum tools:
{
"mcpServers": {
"tinyfn-lorem": {
"url": "https://tinyfn.io/mcp/lorem",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}Use the lorem_words tool in your MCP-enabled editor like Cursor or Claude Code. Specify word count as a parameter to get exactly the amount of placeholder text needed.
Returns plain text lorem ipsum words separated by spaces, starting with the classic "lorem ipsum dolor sit amet" sequence. No HTML tags or special formatting.
Yes, specify the word count parameter to get exactly the number of words you need. Useful for fitting specific layout constraints or content length requirements.
Lorem ipsum has consistent letter frequency and word length distribution similar to English, making it ideal for typography and layout testing without readable content distracting from design.
Yes, works seamlessly with MCP-compatible AI tools like GitHub Copilot and Windsurf. Perfect for AI agents that need placeholder content while building mockups or templates.