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Query India's open geospatial data with location, filtering, and nearby search.
This MCP tool is described as querying India's open geospatial data, with no declared secrets or remote endpoints in the provided materials and few explicit red flags. The main uncertainty is the lack of auditable source code and sparse documentation, but its presence in the official registry and recent maintenance support a caution rather than high-risk rating.
The materials explicitly state that no keys or environment variables are required, and there is no indication that users must provide API tokens, account credentials, or other sensitive secrets, so credential exposure and abuse risk appears low.
The stated function is to 'query open geo data,' which by nature likely involves network access, but the materials do not disclose any specific remote hosts or data flows. Because the network behavior is not transparent, this warrants caution, but not a high-risk rating based on function alone.
The system checks indicate that the tool can execute code or start local processes; this is a common MCP capability and does not by itself make the tool high risk. The materials do not show requests for unusual system privileges or actions unrelated to its stated purpose.
The documentation does not specify which local files, databases, or system resources it can read or write, so the data access boundary is unclear. There is no explicit evidence of overbroad access, but the lack of README warrants least-privilege use.
Positive factors include distribution through the official registry and updates within the past year; however, the source is not auditable, the license is undeclared, and community adoption is 0 stars, which weakens transparency and independent verification. Overall this is a supply-chain caution rather than a clear high-risk case.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.urbanmorph/bharatlas-mcp" MCP server from askskill: Run: claude mcp add 'io-github-urbanmorph-bharatlas-mcp' -- npx -y bharatlas-mcp
Use Bharatlas to find hospitals and schools within 2 km of a metro station in Delhi, and list the results sorted by distance.
A list of matching hospitals and schools with names, layer details, distances, and location summaries.
Query open geospatial data for water bodies within Bengaluru, keep only objects from the specified layers, and summarize counts and distribution patterns.
Filtered geospatial objects with layer-based counts and a summary of spatial distribution.
Locate an administrative area in Mumbai, then cross-search road, public facility, and land-use layers to identify high-density overlap zones.
Results across multiple layers within the target area, highlighting dense overlap zones and their key characteristics.
No documentation provided
Check the source repo for usage and examples.
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Search Norwegian addresses, reverse geocode places, and get elevation data.