mcp · India

geodata

Lightweight open-source visualiser for India admin boundaries — pick a layer, view, download parquet

Claim this listing

Represent geodata? Send a claim for review so we can discuss listing updates. Claims do not automatically grant ownership or verification.

Data offered docs-verified: India national boundary (LGD-dissolved) · state, district, subdistrict, block and village admin boundaries (LGD) · cross-source alternate boundaries (SOI, Bhuvan, geoBoundaries, PMGSY) · city wards across Indian cities · electoral constituencies · wildlife layers · eco-zones · 63k pincode polygons (bharatviz) · point-in-polygon locate across all layers · radius-based nearby feature search
Coverage docs-verified: India
Formats docs-verified: Parquet · PMTiles · GeoJSON · KML · Shapefile
Access docs-verified: No API key for the REST API or MCP read tools (REST is rate-limited per IP). Code licensed MIT; data under per-layer open licences (CC0-1.0, CC-BY-4.0, GODL-India).

Use cases llm-inferred: Identify the district, block and village boundaries containing an Indian project site via point-in-polygon lookup · Pull pincode or city ward polygons to define study areas for Indian catchment or planning work · Screen for features in a layer such as nic_health within a set radius of a site
Audience llm-inferred: GIS analysts · planners · environmental consultants working in India

Constraints llm-inferred: Covers India only; no UK or other-country coverage · Data caveats: cross-source drift, coverage gaps, precision (see bharatlas.com/about#caveats) · Provided as-is with no warranty; for legal or administrative use, go to the upstream source · Pincode polygons are simplified · REST API rate-limited per IP · Collect authoring requires a registered map share link and token scope · Community submissions appear only after curator review

Point-in-polygon lookup returning every admin boundary containing the site (Bengaluru example from the docs).

{
  "tool": "locate",
  "arguments": {
    "lat": 12.9716,
    "lng": 77.5946
  }
}

Features in the nic_health layer within 10 km of the site, ranked by distance.

{
  "tool": "nearby",
  "arguments": {
    "lat": 12.9716,
    "lng": 77.5946,
    "layer": "nic_health",
    "radius_km": 10
  }
}

Count districts per state using the lgd_districts layer.

{
  "tool": "query",
  "arguments": {
    "layer": "lgd_districts",
    "group_by": "stname"
  }
}

Licence: MIT
Authentication: No API key required (repository README, auto-extracted; check upstream requirements)
GitHub stars: 40
Last commit: 07/10/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: pypi:bharatlas-mcp
Verification: Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-15 (github-search)