Geolocate Website Visitors
Determine the geographic location of website visitors from their IP addresses for analytics and personalization.
Detect Suspicious Login Locations
Flag logins from unexpected geographic locations by comparing IP geolocation against known user patterns.
Quick answer: Use the IP Geolocation tool through ToolRouter to detect suspicious login locations directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolAccount 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.
How to detect suspicious login locations with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude brings analytical rigor to login anomaly detection by calculating geographic distance, assessing travel feasibility, and evaluating ISP fingerprints against user baselines. It asks clarifying questions about your security thresholds to refine the risk assessment for each flagged login attempt.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to detect suspicious login locations with Claude
Once connected (see setup above), use the IP Geolocation tool:
- Ask Claude: "Look up the location of this login IP using ip-geolocation" and provide the IP
- Claude returns the geographic details
- Ask: "Compare this location against the user's previous logins from New York"
- Claude flags whether the location is suspicious based on distance and timing
Example prompt for Claude
Try this with Claude using the IP Geolocation tool
Look up the location of 185.220.101.34. A user who normally logs in from San Francisco just authenticated from this IP. Is this suspicious?
Tips for Claude
- Check for VPN and proxy indicators in the ISP data
- Compare timestamps between logins to detect impossible travel
- Build a baseline of normal login locations for each user
ChatGPT explains suspicious login findings in clear, actionable terms your security team can act on immediately. It provides risk context for each flagged IP, suggests appropriate response actions based on the threat level, and can draft the user notification or escalation message for your incident response workflow.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to detect suspicious login locations with ChatGPT
Once connected (see setup above), use the IP Geolocation tool:
- Ask: "Look up this IP address and tell me if it looks suspicious for a US-based user"
- ChatGPT resolves the location and assesses risk
- Request: "Check these 20 login IPs from the last hour for anomalies"
- Review the flagged entries
Example prompt for ChatGPT
Try this with ChatGPT using the IP Geolocation tool
These are the last 10 login IPs for user account #4521. The user is based in London. Flag any logins from unexpected locations.
Tips for ChatGPT
- ChatGPT can assess risk by considering country, ISP type, and distance from baseline
- Ask for a risk score for each login attempt
- Useful for periodic security audits of authentication logs
Copilot helps you build login anomaly detection right into your authentication code. Resolve login IPs inline, compare against known user locations in your database, and generate the geofencing rules or impossible-travel detection functions you need -- all from within your IDE during development.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to detect suspicious login locations with Copilot
Once connected (see setup above), use the IP Geolocation tool:
- In Copilot Chat: "Look up this IP and check if it matches our expected user location"
- Copilot returns the location and risk assessment
- Ask: "Parse the auth log and flag all logins from outside the US"
- Review flagged entries in your security workflow
Example prompt for Copilot
Try this with Copilot using the IP Geolocation tool
Check the geolocation of IPs in our auth failure log. Flag any originating from outside North America or Western Europe.
Tips for Copilot
- Integrate into CI/CD security checks for deployment access logs
- Copilot can help write geofencing rules based on lookup results
- Combine with rate-limiting data for comprehensive threat assessment
OpenClaw automates suspicious login monitoring at scale. Configure it to process authentication log batches, resolve each login IP, flag geographic anomalies against user baselines, and output structured alerts ready for your SIEM or security dashboard on a recurring schedule.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsHow to detect suspicious login locations with OpenClaw
Once connected (see setup above), use the IP Geolocation tool:
- Ask OpenClaw: "Look up the location of this login IP"
- OpenClaw returns the full geographic details
- Compare against the user's normal location
- Flag or escalate suspicious results
Example prompt for OpenClaw
Try this with OpenClaw using the IP Geolocation tool
Geolocate this IP from a failed login attempt. The account owner is in Tokyo -- does this IP match?
Tips for OpenClaw
- Check the ISP field to identify VPN/proxy services
- Combine location data with login timing for impossible travel detection
- Use bulk_lookup to process entire auth logs efficiently
Frequently Asked Questions
How do I detect suspicious login locations with an AI assistant?
Flag logins from unexpected geographic locations by comparing IP geolocation against known user patterns. Connect the IP Geolocation tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Look up the location of this login IP using ip-geolocation" and provide the IP Claude returns the geographic details
Which AI assistants can detect suspicious login locations?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all detect suspicious login locations using the IP Geolocation tool through ToolRouter, with no API keys or coding required.
What does the IP Geolocation tool do?
Look up geographic locations, ISP details, and ownership information for IP addresses. Supports single and bulk lookups.
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