io.github.urbanmorph/bharatlas-mcp
NPM · BHARATLAS-MCP · SCANNED AUG 4
Query India's open geo data. Locate, filter, nearby search across layers.
Available components
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. How we score →
Supply Chain Security83
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known medium-severity CVE affects hono 4.12.33, reached via @modelcontextprotocol/sdk > hono. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 56 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability65
- AI-judged instruction clarity (excellent).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · bharatlas-mcp
claude mcp add urbanmorph-bharatlas-mcp -- npx -y bharatlas-mcp
codex mcp add urbanmorph-bharatlas-mcp -- npx -y bharatlas-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"urbanmorph-bharatlas-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"bharatlas-mcp"
],
"enabled": true
}
}
} openclaw mcp add urbanmorph-bharatlas-mcp --command npx --arg -y --arg bharatlas-mcp
mcp_servers:
urbanmorph-bharatlas-mcp:
command: "npx"
args: ["-y", "bharatlas-mcp"] {
"mcpServers": {
"urbanmorph-bharatlas-mcp": {
"command": "npx",
"args": [
"-y",
"bharatlas-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Aug 26 +3
- CVE-2026-69207 affects this package: medium ▼ security
- Known CVEs: partial → fail ▼ security
- Stability: unverified → 0.27 ▲ functional
- 2 Aug 26 +41
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- 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. security
- Security disclosure: unverified → fail ▼ functional
- Capabilities: pass → unverified ▼ functional
- Schema quality: unverified → excellent ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- Licence: MIT functional
- 1 Aug 26 +5
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → pass ▲ functional
- 31 Jul 26 −6
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −18
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 27 Jul 26 36
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-8j4g-w8fx-2239 | CVE-2026-69207 | medium | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L | yes |
Dependencies 94 packages
94 packages in the resolved dependency tree · 94 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
get_layer_detail ~56
Get full metadata for a single layer: download URLs (parquet, pmtiles, geojson, kml, shapefile), attribution, license, feature count, and level metadata.
| Name | Type | Req | Description |
|---|---|---|---|
| layer_id | string | yes | Layer ID |
No output schema declared.
No examples provided.
get_layer_schema ~73
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.
| Name | Type | Req | Description |
|---|---|---|---|
| layer_id | string | yes | Layer ID (e.g. lgd_states, airports, soi_forests, wards_chennai) |
No output schema declared.
No examples provided.
list_categories ~16
List all data categories with layer counts.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_layers ~204
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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. |
No output schema declared.
No examples provided.
list_submissions ~90
List community-submitted geo layers. These are user-contributed datasets under open licenses. Filter by category or search by name.
| Name | Type | Req | Description |
|---|---|---|---|
| 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) |
No output schema declared.
No examples provided.
locate ~129
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.
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | yes | 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 | yes | Longitude (68 to 98, India bounding box) |
No output schema declared.
No examples provided.
nearby ~167
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.
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | yes | Center point latitude |
| layer_id | string | yes | Layer to search for nearby features |
| limit | number | — | Max results (default 20) |
| lng | number | yes | Center point longitude |
| radius_km | number | — | Search radius in kilometres (default 25, max 200) |
No output schema declared.
No examples provided.
query_layer ~225
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'].
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | 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. |
No output schema declared.
No examples provided.