Geocode Addresses to Coordinates
Convert street addresses into precise latitude and longitude coordinates for mapping and spatial analysis.
Find Locations from Descriptions
Resolve informal place descriptions, landmarks, and partial addresses into precise coordinates.
Quick answer: Use the Address Geocoding tool through ToolRouter to find locations from descriptions directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolNot every location comes as a neatly formatted street address. Users type "near the Eiffel Tower," meeting notes say "the coffee shop on Main and 3rd," and datasets contain entries like "downtown Seattle" or "LAX airport." These informal descriptions still need to be converted to coordinates for mapping and analysis.
The geocode_address skill handles fuzzy location inputs beyond just formal street addresses. Landmarks, neighborhoods, intersections, points of interest, and partial addresses are all resolved to their best-match coordinates. The confidence score tells you how precise the match is -- a specific building will score higher than a neighborhood name.
This is particularly useful for processing user-generated content where location references are informal, enriching event data where venues are described by name rather than address, and building location search features that accept natural language input. The skill bridges the gap between how humans describe places and how software needs to represent them.
How to find locations from descriptions with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude resolves informal location descriptions through conversational disambiguation. Give it a place name, verify the match against what you expected, and add context to narrow ambiguous results. The back-and-forth ensures you get the right coordinates for the specific location you mean, not one of the dozens worldwide with a similar name.
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 find locations from descriptions with Claude
Once connected (see setup above), use the Address Geocoding tool:
- Ask Claude: "Find the coordinates for this location using address-geocoding" with the description
- Claude resolves the description to coordinates and returns the matched address
- Verify the match is correct by reviewing the standardized address returned
Example prompt for Claude
Try this with Claude using the Address Geocoding tool
Find the GPS coordinates for "Central Park, New York" and "Golden Gate Bridge, San Francisco". Give me exact lat/lng for each.
Tips for Claude
- Add the city or country to ambiguous place names for better accuracy
- Claude can resolve landmarks, airports, universities, and other points of interest
ChatGPT resolves place descriptions with geographic context and disambiguation. When a name matches multiple locations, it explains the options and helps you identify the right one. It adds context about each resolved location that helps you verify the match without needing to check a map separately.
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 find locations from descriptions with ChatGPT
Once connected (see setup above), use the Address Geocoding tool:
- Ask: "Find the coordinates for this place" and describe the location
- ChatGPT returns the coordinates and the resolved address
- Request: "How confident is this match?" to assess accuracy
Example prompt for ChatGPT
Try this with ChatGPT using the Address Geocoding tool
Where exactly is "the Colosseum in Rome"? Give me the GPS coordinates and the full street address.
Tips for ChatGPT
- ChatGPT can disambiguate when a place name matches multiple locations worldwide
- Ask it to explain the confidence level and whether the result is a point or area centroid
Copilot resolves landmarks and place names to coordinates within your development environment. Add map markers for famous locations to demo configurations, populate venue databases with coordinates from place names, and build location features using real-world points of interest.
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 find locations from descriptions with Copilot
Once connected (see setup above), use the Address Geocoding tool:
- In Copilot Chat: "Find the coordinates for these landmarks" and list the places
- Copilot resolves each description to coordinates
- Ask: "Add these as map markers in my configuration file"
Example prompt for Copilot
Try this with Copilot using the Address Geocoding tool
Resolve these venue names to coordinates and add them to my map config: "Times Square", "Big Ben", "Sydney Opera House".
Tips for Copilot
- Copilot can resolve informal descriptions and write the coordinates directly into code
- Useful for building demo data with real-world landmark locations
OpenClaw resolves informal place descriptions to coordinates in batch, processing lists of landmarks, neighborhoods, and partial addresses with confidence scoring for each match. Build location databases from venue lists, geocode event data where locations are described by name, and create point-of-interest datasets from unstructured location references.
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 find locations from descriptions with OpenClaw
Once connected (see setup above), use the Address Geocoding tool:
- Ask OpenClaw: "Find the coordinates for this place" and describe the location
- OpenClaw returns the best-match coordinates and address
- Use the coordinates in your application or analysis
Example prompt for OpenClaw
Try this with OpenClaw using the Address Geocoding tool
Find the exact coordinates for "Shibuya Crossing, Tokyo" and "Brandenburg Gate, Berlin".
Tips for OpenClaw
- Include the country for place names that exist in multiple countries
- Check the confidence score -- area-level matches are less precise than building-level ones
Frequently Asked Questions
How do I find locations from descriptions with an AI assistant?
Resolve informal place descriptions, landmarks, and partial addresses into precise coordinates. Connect the Address Geocoding tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Find the coordinates for this location using address-geocoding" with the description Claude resolves the description to coordinates and returns the matched address
Which AI assistants can find locations from descriptions?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all find locations from descriptions using the Address Geocoding tool through ToolRouter, with no API keys or coding required.
What does the Address Geocoding tool do?
Convert addresses to coordinates and coordinates to addresses. Validate, standardize, and batch-process location data for any application.
Related Use Cases
Reverse Geocode Coordinates to Addresses
Convert latitude and longitude coordinates into human-readable street addresses and place names.
Validate and Standardize Addresses
Check addresses for accuracy and normalize them into a consistent, standardized format.
Batch Geocode Address Lists
Geocode entire lists of addresses at once, converting spreadsheets and databases of locations into coordinate data.