Converts flattened JSON objects with dot-notation keys back into nested structures. Access via MCP in Cursor or other AI editors, or REST at GET /v1/json/unflatten. Transform {"user.name": "John", "user.age": 30} into {"user": {"name": "John", "age": 30}}. Perfect for rebuilding hierarchical data from database exports or form submissions.
curl "https://tinyfn.io/v1/json/unflatten" \
-H "X-API-Key: YOUR_API_KEY"const response = await fetch('https://tinyfn.io/v1/json/unflatten', {
headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);import requests
response = requests.get('https://tinyfn.io/v1/json/unflatten',
headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's json tools:
{
"mcpServers": {
"tinyfn-json": {
"url": "https://tinyfn.io/mcp/json",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}It converts keys like 'user.profile.name' into nested objects: {'user': {'profile': {'name': value}}}. Each dot creates a new nesting level.
Numeric keys become array indices. 'items.0.name' and 'items.1.name' create an array with two objects at items[0] and items[1].
Yes, AI agents can unflatten form submissions or CSV-to-JSON conversions automatically. Useful for transforming flat data into structured objects for further processing.
It maintains the original value types (strings, numbers, booleans, null) while only restructuring the key hierarchy.
Object keys take precedence. If both exist, the nested structure ('user.name') will override scalar values at the same path.
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