ai.latlong/map-mcp · v1.0 · location-and-travel
LatLong Maps is healthy: it completed an MCP handshake in 3943 ms and exposes 5 tools. It scores 57/100.
Turn CSV or Excel data into styled choropleth and categorical maps of India from plain language.
Endpoint: https://geocp.latlong.ai/mcp/ (streamable-http)
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| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 5 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 5 / 10 |
Scoring v0.3, computed 2026-10-14T20:21:24.341Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T09:00:50.498Z | Healthy | 3943 |
geocode | Geocode addresses from an uploaded CSV or XLSX file into latitude/longitude. Pass a file_key from upload_file. Column selection: if you know it, pass address_column (or address_columns for several). Otherwise the server asks the geo-match service to detect it. When the answer is not unambiguous — s |
get_capabilities | Return the server's capability matrix: supported map types, geo types, output formats, classification methods, and the list of tools available in this process (which varies by configuration). Call this first to discover what the server can do. |
question_to_map | Render a geographic map from your data. Call upload_file first to ingest a CSV/XLSX file, then pass the returned file_key: {"question": "show total by pincode", "file_key": "mcp-uploads/<user-id>/2026/01/15/<uuid>.csv"}. The file_key is reusable — for additional questions on the same file, pass the |
reverse_geocode | Turn latitude/longitude coordinates in an uploaded CSV or XLSX into addresses. Pass a file_key from upload_file. Column selection: pass latitude_column and longitude_column, or latlong_column for a single combined column, or coordinate_pairs for several sets. Otherwise the server detects them. When |
upload_file | Upload a CSV or XLSX file for server-side ingestion under policy (auth, size cap, malware scan, injected-intent scan) and receive a file_key. This is the first step before calling question_to_map with your own data. Step 1: Call upload_file with file_name, file_size, and question. The response cont |