Lakshadweep Land Parcels (Kavaratti)
RemoteAbout Lakshadweep Land Parcels (Kavaratti)
Lakshadweep Land Parcels (Kavaratti) is a BumiAtlas MCP server for researching cadastral parcels on Kavaratti. It supports location and survey-number lookups and provides labelled map images; coverage excludes the other islands, and it does not include owner data.
Key features
- 01Search by coordinates or survey number
- 02Parcel records with area and remarks
- 03Satellite and street-map images
- 04Neighbouring parcels labelled by survey number
- 05GeoJSON boundaries on request
Use cases
- 01Identify a Kavaratti parcel from its coordinates
- 02Check parcel area and recorded remarks
- 03View nearby parcels on a labelled map
MCP support
Exposes parcel-search and parcel-image tools to MCP clients. The search tool can return parcel records and provide boundaries as GeoJSON on request.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://bumiatlas.com/mcp/lakshadweepclaude mcp add --transport http bumiatlas-lakshadweep-land-parcels https://bumiatlas.com/mcp/lakshadweep{"mcpServers":{"bumiatlas-lakshadweep-land-parcels":{"type":"http","url":"https://bumiatlas.com/mcp/lakshadweep"}}}Open in Cursor{"servers":{"bumiatlas-lakshadweep-land-parcels":{"type":"http","url":"https://bumiatlas.com/mcp/lakshadweep"}}}Open in VS Code{"mcpServers":{"bumiatlas-lakshadweep-land-parcels":{"type":"http","url":"https://bumiatlas.com/mcp/lakshadweep"}}}{"mcpServers":{"bumiatlas-lakshadweep-land-parcels":{"serverUrl":"https://bumiatlas.com/mcp/lakshadweep"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMELakshadweep Land Parcels MCP (Kavaratti)
Connect your AI assistant (Claude, ChatGPT, Cursor) to BumiAtlas for land research in Lakshadweep through the Model Context Protocol (MCP).
- Survey and subdivision parcels on Kavaratti island from the Bharatmaps Lakshadweep cadastral layer, with each parcel's area in ares and m², and remarks (roads, quarters)
- Lookup by coordinates or by survey number
- Satellite and street map images of a parcel and its neighbours, labelled by survey number
Only Kavaratti is covered; the other islands aren't in the source. No owners.
Connect
https://bumiatlas.com/mcp/lakshadweep
Add it as a custom connector in any MCP client and sign in with Google; no API key. Tools, examples and data notes: bumiatlas.com/mcp-docs/lakshadweep.
- Claude: Settings → Connectors → Add custom connector, paste the URL, then Connect.
- ChatGPT: Settings → Apps & Connectors → Advanced → Developer mode, then Create with the URL and OAuth authentication.
These are BumiAtlas's India tools, so parcels in the other loaded states can be looked up too.
Tools
| Tool | Description |
|---|---|
IN_parcel_search | Find parcels by latitude, longitude, ULPIN, or khasra/survey number with state and village; each result is the whole record, the boundary as GeoJSON on request |
IN_parcel_image | Satellite or street map image of a parcel or point, with every parcel in view outlined and labelled with its khasra, survey or dag number |
Example prompts
- "Which survey plot is at 10.5626, 72.6369 on Kavaratti, and how big is it?"
- "Show a satellite image of the parcels around 10.5626, 72.6369."
Coverage
Kavaratti island only.
Data source
Bharatmaps (NIC), Lakshadweep cadastral layer. Parcels from the state land-record portals, compiled by datameet / ramSeraph indian_cadastrals (CC0). A copy of public data for research, not a legal land record.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.