Evaluates password strength across multiple security dimensions including entropy, character diversity, and common attack vectors. Available through MCP in Cursor and other AI editors, or via REST at GET /v1/password/analyze. Returns detailed analysis including strength score, estimated crack time, and specific recommendations. Uses industry-standard algorithms to assess real-world password security.
curl "https://tinyfn.io/v1/password/analyze" \
-H "X-API-Key: YOUR_API_KEY"const response = await fetch('https://tinyfn.io/v1/password/analyze', {
headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);import requests
response = requests.get('https://tinyfn.io/v1/password/analyze',
headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's password tools:
{
"mcpServers": {
"tinyfn-password": {
"url": "https://tinyfn.io/mcp/password",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}Uses entropy calculations, character set diversity, length analysis, and checks against common patterns. Combines multiple metrics into a normalized score with specific weakness identification.
Yes, the analysis runs locally through MCP so passwords aren't transmitted to external services. Perfect for security audits in development environments.
Identifies dictionary words, common substitutions (@ for a), keyboard patterns, repeated characters, and estimates resistance to brute force and dictionary attacks.
No, it performs structural analysis only. It evaluates pattern strength, entropy, and composition without checking against breach lists for privacy reasons.
Entropy measures theoretical randomness in bits, while strength score combines entropy with practical attack resistance including pattern detection and real-world cracking scenarios.
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