BumiAtlas MCP

India: khasra and survey parcels in five states

Indian cadastral parcels from five states' land-record portals, compiled by datameet, as tools an AI assistant can call: find a parcel by coordinates, ULPIN or number in its village, read the state's own fields, and see it on a map with its neighbours.

Server URL

Streamable HTTP with OAuth. The first time you connect, your client opens a browser window to sign in with Google; no API key needed.

https://bumiatlas.com/mcp/india

Connect

Claude (claude.ai, desktop)

Settings → Connectors → Add custom connector, paste the URL, then Connect and sign in with Google.

Claude Code

claude mcp add --transport http bumiatlas-india https://bumiatlas.com/mcp/india

ChatGPT

Settings → Apps & Connectors → Advanced → Developer mode, then Create with the URL and OAuth authentication.

Cursor

in ~/.cursor/mcp.json

{
  "mcpServers": {
    "bumiatlas-india": {
      "url": "https://bumiatlas.com/mcp/india"
    }
  }
}

Tools

Tool names and descriptions are in English, which models understand best; your assistant still answers in your language.

IN_parcel_search

Find Indian cadastral parcels by location, ULPIN, or number in a village, with each parcel's whole record. query takes coordinates as 'latitude, longitude' (e.g. 15.3433, 74.1764), a Madhya Pradesh ULPIN, a parcel id from an earlier result ('ga-123'), or a khasra/survey number ('35/1') with state and village: a village name in Rajasthan and Goa ('Calem'), the village's LGD code in Madhya Pradesh. state and village without a number list the village's parcels, paged with offset. Assam is searchable by coordinates only. With coordinates it returns parcels containing the point (distance 0), then the nearest within `radius` metres, closest first. Each parcel has id, state, number, village, record (the state's own fields), mapArea (m²) and bbox. Set include_geometry for each boundary as GeoJSON (keep limit small). Use IN_parcel_image to see a parcel and its neighbours.

querystring: 'latitude, longitude', a ULPIN, a parcel id (ga-123), or a khasra/survey number with state and village
statestring: rj Rajasthan, mp Madhya Pradesh, ga Goa, as Assam, ld Lakshadweep; needed with a number or village
villagestring: Village name (Rajasthan, Goa) or LGD code (Madhya Pradesh)
radiusnumber: Search radius in metres around coordinates(default 25)
limitinteger: Maximum results(default 20)
offsetinteger: Skip this many matches of a number or name search, to page through them(default 0)
include_geometryboolean: Include each boundary as a GeoJSON MultiPolygon(default false)

IN_parcel_image

A map image centred on an Indian parcel (id, 'rj-123' from IN_parcel_search) or a point (query), with every parcel in view outlined and labelled with its khasra or survey number, so you can see which parcel is where. The parcel passed as id is drawn in red with a larger label; a query point is a red dot. Returns the parcels in view as JSON (label, id, number, village, area in m²; labelled: false where its label didn't fit), then one JPEG per basemap. Basemaps: satellite (Esri World Imagery, often a few years old), hybrid (the same imagery with road and place names), streets and topo (Esri's street and topographic maps). Pass several to compare, e.g. ['satellite', 'streets'] to match buildings with street names. Parcel outlines are yellow on imagery and magenta on maps. The portals' maps are digitised village sheets: offsets of 10 m or more from imagery are common. A scale bar is at bottom left. Labels are left off where they'd overlap; call again with a smaller radius to read them. Each image costs about as much context as 1,000 words, so ask for what you need.

idstring: Parcel id (rj-123, ga-45), drawn in red
querystring: 'latitude, longitude' to centre on instead of a parcel
radiusnumber: Metres from the centre to the image edge. Default: fits the parcel with a margin, or 80 m around a point
basemapsarray: One image per basemap(default ["satellite"])
sizeinteger: Image width and height in pixels(default 768)

Try asking

Which parcel is at 15.34334, 74.17635 in Goa?
Find survey number 35/1 in Calem, Goa.
Show the khasra parcels around this point in Rajasthan on satellite imagery.

About the data

Rajasthan, Madhya Pradesh, Goa, Assam and Lakshadweep only.
A parcel is numbered within its revenue village: a khasra, survey and subdivision number or dag. Madhya Pradesh parcels may carry a ULPIN.
Digitised village maps: offsets of 10 m or more from imagery are common. Goa's occupant names are left out.
Compiled by datameet / ramSeraph indian_cadastrals (CC0) from the state portals.