LatLong Maps MCP server

• create_uploadwrite actionFree

  Start a client-direct file upload for large CSV/XLSX files. Returns a presigned put_url and an opaque upload_id. Steps: 1) call create_upload with file_name, 2) HTTP PUT the raw file bytes to put_url using the returned headers, 3) pass upload_id to question_to_map, parse_file, or render_map. Preferred over file_base64 for anything beyond a few KB — the bytes go straight to storage instead of riding inside the tool call.

• get_capabilitiesFree

  Return the server's capability matrix (supported map types, geo types, output formats, and classification methods).

• process_uploadwrite actionFree

  Validate and ingest a file uploaded via create_upload. Runs size, virus, and content-safety checks, parses CSV/XLSX/JSON, and returns an upload_id plus advisory intent (no raw rows). IMPORTANT: to make a map, call question_to_map and pass this upload_id — and pass the SAME upload_id on every follow-up question about this file (e.g. 'now show it by district'). The response includes a ready-to-use next_actions entry with upload_id already filled in; prefer firing that. Rejects infected or injected files (nothing is kept in that case).

• question_to_mapFree

  Render a geographic map from a question. TO MAP A FILE (CSV/XLSX/JSON) — you MUST upload it first, in this order: 1) call create_upload {file_name} -> returns { upload_id, put_url } 2) HTTP PUT the raw file bytes to put_url (use the returned headers) 3) call process_upload {upload_id, ...your intent} -> validates the file 4) call question_to_map {question, upload_id, geo_column?, value_column?} Do NOT call question_to_map with a file path or the raw bytes for an uploaded document — pass the upload_id from step 1. Reuse the SAME upload_id on every follow-up about that file (e.g. 'now show it by district'). Ways to provide data: 1. Uploaded document (preferred): {"question": "show total by pincode", "upload_id": "<from create_upload>", "geo_column": "pincode", "value_column": "total"} 2. Question only (DB): {"question": "ola sales in delhi ncr"} 3. CSV inline (small only): {"question": "show sales", "csv": "state,sales\nMaharashtra,500", "geo_column": "state", "value_column": "sales"} INTENT (all optional; if you know them, pass them — your values win over auto-detection): geo_column, value_column, geo_level (state|district|pincode|rto|city|ac|pc), map_type, state_hint. If you omit upload_id, the server falls back to your most recent upload; passing it is more reliable. If value_column is 'total' and absent from the data, all numeric columns are summed automatically. Supported geo types: state, district, pincode, rto, city, ac, pc.

• –Code scanremote-only server, no package to scann/a
• Live reliabilityremote reachable in 3238ms17/20
• Tool poisoning4 tool descriptions checked15/15
• Auth qualityAPI key sent as a header8/15
• Maintenanceno repository listed3/15
• Maintainer identityverified namespace with website, no repo4/10

LatLong Maps: common questions

Is LatLong Maps MCP server safe?

With care: it is graded C, so read the findings first (63/100). Read the LatLong Maps safety report

How do I install LatLong Maps?

It runs remotely at geocp.latlong.ai. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.

Does LatLong Maps need an API key?

Yes. The registry entry asks for X-Authorization-Token.

Is LatLong Maps maintained?

The latest release is v1.0.

Is LatLong Maps up?

100% of our last 6 checks got an answer. We check remote servers about four times a day.

What can I use instead of LatLong Maps?

Servers from other publishers that do the same job: Maproll MCP server, Mapnetwork MCP server and Atlas Red mind maps MCP server. Compare all LatLong Maps alternatives.