# io.github.urbanmorph/bharatlas-mcp (npm · bharatlas-mcp)

Query India's open geo data. Locate, filter, nearby search across layers.

- Trust score: 61/100 (medium)
- Change this week: +25
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-04

## Components

- npm · `bharatlas-mcp`: 61/100 (this document), [markdown](https://verifymcp.io/servers/urbanmorph-bharatlas-mcp/bharatlas-mcp.md), [page](https://verifymcp.io/servers/urbanmorph-bharatlas-mcp/bharatlas-mcp)

## Channel facts

- Registry: `npm`
- Package: `bharatlas-mcp`
- Version: `1.0.3`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-04.

- **Supply Chain Security**: 83/100
  - No malware found by supply-chain analysis.
  - CVE check failed: a known medium-severity CVE affects hono 4.12.33, reached via @modelcontextprotocol/sdk > hono. A fixed version is available.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 19/100
  - Repository check failed: no source repository is declared.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 56 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 65/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 2076 tokens (~259/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add urbanmorph-bharatlas-mcp -- npx -y bharatlas-mcp
```

### Codex

```bash
codex mcp add urbanmorph-bharatlas-mcp -- npx -y bharatlas-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "urbanmorph-bharatlas-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "bharatlas-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add urbanmorph-bharatlas-mcp --command npx --arg -y --arg bharatlas-mcp
```

### Hermes

```yaml
mcp_servers:
  urbanmorph-bharatlas-mcp:
    command: "npx"
    args: ["-y", "bharatlas-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "urbanmorph-bharatlas-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "bharatlas-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-04 (score 61, +3)

- [security regression] CVE-2026-69207 affects this package: medium
- [security regression] Known CVEs: partial → fail
- [functional improvement] Stability: unverified → 0.27

### 2026-08-02 (score 58, +41)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.
- [functional regression] Security disclosure: unverified → fail
- [functional regression] Capabilities: pass → unverified
- [functional improvement] Schema quality: unverified → excellent
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional] Licence: MIT

### 2026-08-01 (score 17, +5)

- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] MCP protocol: unverified → pass

### 2026-07-31 (score 12, −6)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 18, −18)

- [functional regression] Tool coverage: 100 → unverified
- [functional] First check of Schema quality: unverified

### 2026-07-27 (score 36)

First indexed and scored.

## MCP tools (8)

### `list_layers` (~204 tokens)

List available geo layers. Use to discover what data bharatlas has. Returns layer IDs, names, row counts, categories, and download formats. Filter by category (boundaries, city-wards, environment, water, agriculture, transport, etc.), admin level (state, district, block, village, etc.), source, or text search.

Input parameters:

- `category` (string): Filter by category: boundaries, city-wards, people, environment, water, agriculture, transport, infrastructure, health-edu
- `level` (string): Filter by admin level: state, district, subdistrict, block, village, etc.
- `limit` (number): Max results (default 20)
- `offset` (number): Skip N results for pagination
- `q` (string): Text search across layer IDs, sources, and descriptions
- `source` (string): Filter by data source: LGD, SOI, Bhuvan, OpenCity, DataMeet, etc.

### `get_layer_schema` (~73 tokens)

Get column names, types, and sample values for a layer. Use BEFORE querying to discover what columns exist and what values they contain. Essential for knowing the right column names for filters.

Input parameters:

- `layer_id` (string, required): Layer ID (e.g. lgd_states, airports, soi_forests, wards_chennai)

### `query_layer` (~225 tokens)

Query a layer's data with filters and grouping. Reads the parquet file at runtime. Supports: select specific columns, filter by column values, group by a column to get counts. Use get_layer_schema first to discover column names. Examples: 'airports in Karnataka' -> where: {state: 'KA'}, 'forest types' -> group_by: 'type', 'health facilities in Bihar' -> where: {state: 'BIHAR'}, select: ['name', 'type'].

Input parameters:

- `group_by` (string): Column to group by. Returns {value: count} instead of rows.
- `include_centroid` (boolean): Include _lat/_lng centroid coordinates (defaults to true). Set false to exclude.
- `layer_id` (string, required): Layer ID to query
- `limit` (number): Max rows (default 100, max 1000)
- `select` (array): Column names to return. Omit for all non-geometry columns.
- `where` (object): Filter conditions as {column: value} pairs. Case-insensitive matching.

### `locate` (~129 tokens)

Given a latitude/longitude, find which administrative boundaries, zones, and regions contain that point. Returns state, district, subdistrict, block, parliament/assembly constituency, pincode, seismic zone, high court jurisdiction, and more. The 'where am I?' tool. Also accepts specific layer IDs to check.

Input parameters:

- `lat` (number, required): Latitude (6 to 38, India bounding box)
- `layers` (array): Specific layer IDs to check (default: 12 essential layers covering all admin levels + zones)
- `lng` (number, required): Longitude (68 to 98, India bounding box)

### `nearby` (~167 tokens)

Find features from a layer that are near a given point. Samples a grid of points around the center and checks which hit the target layer via locate. Generic: works for any layer type (polygons, points, lines) without needing coordinate columns. Example: 'reservoirs near Bengaluru' -> layer_id: 'wris_reservoirs', lat: 12.97, lng: 77.59, radius_km: 50.

Input parameters:

- `lat` (number, required): Center point latitude
- `layer_id` (string, required): Layer to search for nearby features
- `limit` (number): Max results (default 20)
- `lng` (number, required): Center point longitude
- `radius_km` (number): Search radius in kilometres (default 25, max 200)

### `list_categories` (~16 tokens)

List all data categories with layer counts.

### `get_layer_detail` (~56 tokens)

Get full metadata for a single layer: download URLs (parquet, pmtiles, geojson, kml, shapefile), attribution, license, feature count, and level metadata.

Input parameters:

- `layer_id` (string, required): Layer ID

### `list_submissions` (~90 tokens)

List community-submitted geo layers. These are user-contributed datasets under open licenses. Filter by category or search by name.

Input parameters:

- `category` (string): Filter by category
- `limit` (number): Max results (default 20)
- `offset` (number): Pagination offset
- `q` (string): Search name and description
- `sort` (string): Sort order (default: recent)

## Diagnostics

Captured diagnostic sections: Provenance, Vulnerabilities, Dependencies. The full working is on the page: https://verifymcp.io/servers/urbanmorph-bharatlas-mcp/bharatlas-mcp#diagnostics

## Score history

- 2026-08-04: 61
- 2026-08-03: 58
- 2026-08-02: 58
- 2026-08-01: 17
- 2026-07-31: 12
- 2026-07-30: 18
- 2026-07-28: 36
- 2026-07-27: 36

## Links

- npm package: https://www.npmjs.com/package/bharatlas-mcp
- Socket report: https://socket.dev/npm/package/bharatlas-mcp
- Changelog RSS feed: https://verifymcp.io/servers/urbanmorph-bharatlas-mcp/bharatlas-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/urbanmorph-bharatlas-mcp/bharatlas-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/urbanmorph-bharatlas-mcp/bharatlas-mcp