Randomizes the order of list items using a deterministic shuffle algorithm. Call via MCP in Cursor or Windsurf, or hit GET /v1/generate/shuffle with your array. Perfect for randomizing test data, creating varied outputs, or shuffling deck orders. Uses Fisher-Yates algorithm for uniform distribution.
curl "https://tinyfn.io/v1/generate/shuffle" \
-H "X-API-Key: YOUR_API_KEY"const response = await fetch('https://tinyfn.io/v1/generate/shuffle', {
headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);import requests
response = requests.get('https://tinyfn.io/v1/generate/shuffle',
headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's generator tools:
{
"mcpServers": {
"tinyfn-generator": {
"url": "https://tinyfn.io/mcp/generator",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}Use the shuffle_list MCP tool with your array as input. It returns the same items in randomized order while preserving data types.
Fisher-Yates shuffle algorithm, which guarantees uniform random distribution where each permutation has equal probability.
Yes, the tool preserves original data types - strings, numbers, objects, and booleans maintain their format after shuffling.
No, each call produces a different random order. For reproducible shuffles, you'd need to implement seeded randomization separately.
The tool handles large arrays efficiently, though exact limits depend on your API plan and timeout settings.
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