Converts IPv4 addresses to their 32-bit binary representation for network analysis and subnet calculations. Use via MCP in Cursor or Windsurf, or call GET /v1/ip/binary with an IP parameter. For example, 192.168.1.1 becomes 11000000101010000000000100000001. Essential for understanding network masks and CIDR blocks programmatically.
curl "https://tinyfn.io/v1/ip/binary" \
-H "X-API-Key: YOUR_API_KEY"
const response = await fetch('https://tinyfn.io/v1/ip/binary', {
headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);
import requests
response = requests.get('https://tinyfn.io/v1/ip/binary',
headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)
Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's ip address tools:
{
"mcpServers": {
"tinyfn-ip": {
"url": "https://tinyfn.io/mcp/ip",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}
Send a GET request to /v1/ip/binary?ip=192.168.1.1 or use the MCP tool in your AI editor. Returns the 32-bit binary string representation.
IP binary shows the actual address bits, while subnet masks show network/host boundaries. Both use 32-bit format, but serve different purposes in routing calculations.
No, this tool converts IPv4 addresses only. IPv6 uses 128-bit addressing which requires different conversion methods.
MCP-enabled agents can convert IPs to binary for subnet calculations, CIDR analysis, and network range comparisons without hallucinating incorrect bit patterns.
Returns a continuous 32-character binary string without separators. You can format it yourself by grouping into octets (8-bit chunks) if needed.
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