- GRID
- DATA
- QUERY
- HUMAN
Short answer
How can I use AI for spatial indexing?
Your AI uses Mapulus to convert coordinates into H3 hexagonal indices and adds geographic metadata to those points. This allows you to group, cluster, and analyze location data through a standardized grid system.
The results of your analysis.
Where your data lands.
The AI processes your raw data through these specific outcomes.
GRID
Hexagonal indexing
The AI converts lat/long pairs into H3 indices. This creates a uniform grid for easier spatial grouping.
DATA
Location enrichment
Your agent adds extra geographic context to your points. You get more than just raw numbers.
QUERY
Spatial grouping
The AI uses the indices to aggregate data. You can quickly count or sum values within specific hex cells.
HUMAN
Manual validation
You review the final enriched dataset. The AI handles the math, but you decide if the spatial resolution is right for your map.
The workflow
What your AI does when the data arrives.
The AI moves from raw coordinates to a structured spatial dataset.
Index generation
The AI takes your list of coordinates and assigns each one a specific H3 hexagonal identifier.
get_h3_indexContextual enrichment
The agent pulls in additional geographic details for each location to make the data more useful.
enrich_locationSpatial aggregation
The AI groups your points by their new hexagonal IDs to find density or clusters.
get_h3_indexData formatting
The agent organizes the indexed and enriched points into a clean format for your reports.
enrich_location
Try it
Copy these to start.
Use these prompts to kick off your spatial analysis.
Starting points
Replace the bracketed text with your actual data sources like a CSV file or a list of coordinates.
Mapulus Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_GFpJR0KZKGDjgx75vVypBpvXgolt4vtTpIidNqRz/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Mapulus capabilities are ready to use.
{
"mcpServers": {
"mapulus-mcp": {
"url": "https://edge.vinkius.com/vk_preview_GFpJR0KZKGDjgx75vVypBpvXgolt4vtTpIidNqRz/mcp"
}
}
}Convert these coordinates into H3 indices: [paste coordinates here]
Enrich this list of locations with geographic metadata: [paste list]
Take this CSV of lat/long points and give me the H3 index for each row.
Group these locations into hexagonal clusters using their H3 indices.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Mapulus once, then ask.
One connection links Mapulus to your AI client. Your credentials stay encrypted, and you can start running spatial queries immediately.
Connect Mapulus to your AIFAQ
How this task behaves.
- 01
Can the AI create a visual map?
No. The AI uses Mapulus to generate the indices and enriched data, but you must use your own mapping software to visualize the results.
- 02
Will the AI change my original coordinate files?
No. The AI reads your data and generates new, enriched outputs. It does not modify your source files.
- 03
What is H3 indexing?
It is a hexagonal hierarchical geospatial indexing system that allows you to partition the world into cells for easier analysis.
- 04
Can I choose the hexagon size?
Yes, you can instruct your agent to use a specific H3 resolution when it calls the indexing tool.
- 05
Does the AI store my location data?
No. The AI processes the data through the tools provided during your session.
More questions about Mapulus? The Connector page answers them. See everything the Mapulus Connector can do
Connect Mapulus to Claude, Cursor, ChatGPT & more
