Tools / IP Geolocation / Use Cases / Detect Suspicious Login Locations

Detect Suspicious Login Locations

Flag logins from unexpected geographic locations by comparing IP geolocation against known user patterns.

Tool
IP Geolocation icon
IP Geolocation

Account takeovers often reveal themselves through impossible geography. A user who always logs in from London suddenly appears from Lagos -- that is a red flag worth investigating. IP geolocation provides the location data needed to spot these anomalies.

The lookup skill resolves login IPs to precise locations. Compare the result against the user's historical login locations to detect impossible travel (logging in from two distant cities within minutes), unfamiliar countries, or known high-risk regions. This is the same technique banks and enterprise security teams use for fraud detection.

This approach catches compromised credentials before damage is done. Instead of waiting for the user to report unauthorized access, you detect it at login time and can trigger step-up authentication, temporary locks, or admin alerts.

Agent Guides

Claude

  1. Connect ToolRouter: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Look up the location of this login IP using ip-geolocation" and provide the IP
  3. Claude returns the geographic details
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ChatGPT

  1. Configure ToolRouter in ChatGPT
  2. Ask: "Look up this IP address and tell me if it looks suspicious for a US-based user"
  3. ChatGPT resolves the location and assesses risk
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Copilot

  1. Add ToolRouter to Copilot MCP config
  2. In Copilot Chat: "Look up this IP and check if it matches our expected user location"
  3. Copilot returns the location and risk assessment
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OpenClaw

  1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask OpenClaw: "Look up the location of this login IP"
  3. OpenClaw returns the full geographic details
Read full guide →

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