Gis (PyPI) MCP Server

gis-mcp PyPI v0.15.0

Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.

A Model Context Protocol (MCP) server implementation for GIS operations using GIS libraries

Trust grade
A
95/100
Last scanned get badge →
Trust
A · 95/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 95/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 5 = 95. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated
−2 publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 2

medium Tool "write_file_gpd" can modify the filesystemMTC-CAP-002

Tool "write_file_gpd" can write, overwrite or delete files (keyword "write_file" in tool name). Verify it is scoped to a safe directory.

Fix: Constrain file operations to an explicit, non-sensitive root; reject path traversal.

Location: tool write_file_gpd

low Mutating tool "write_file_gpd" declares no destructiveHintMTC-CAP-005

Tool "write_file_gpd" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.

Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.

Location: tool write_file_gpd

Tools 98

Each tool and what it can reach — statically extracted from the published source.

  • download_boundariesingests untrusted input
  • download_climate_dataingests untrusted input
  • download_satellite_imageryingests untrusted input
  • download_species_occurrencesingests untrusted input
  • download_street_networkingests untrusted input
  • download_worldcoveringests untrusted input
  • read_file_gpdreads sensitive data
  • write_file_gpdwrites files
  • adbscanno sensitive capability
  • append_gpdno sensitive capability
Show 88 more tools ↓
  • bufferno sensitive capability
  • build_and_transform_weightsno sensitive capability
  • build_transform_and_save_weightsno sensitive capability
  • calculate_geodetic_areano sensitive capability
  • calculate_geodetic_distanceno sensitive capability
  • calculate_geodetic_pointno sensitive capability
  • calculate_shortest_pathno sensitive capability
  • clip_raster_with_shapefileno sensitive capability
  • clip_vectorno sensitive capability
  • compute_ndvino sensitive capability
  • compute_s2_ndvino sensitive capability
  • concat_bandsno sensitive capability
  • convex_hullno sensitive capability
  • create_mapno sensitive capability
  • create_web_mapno sensitive capability
  • differenceno sensitive capability
  • dissolve_gpdno sensitive capability
  • distance_band_weightsno sensitive capability
  • dynamic_lisano sensitive capability
  • envelopeno sensitive capability
  • explode_gpdno sensitive capability
  • extract_bandno sensitive capability
  • focal_statisticsno sensitive capability
  • gamma_statisticno sensitive capability
  • gearys_cno sensitive capability
  • geojson_to_geometryno sensitive capability
  • geometry_to_geojsonno sensitive capability
  • get_areano sensitive capability
  • get_available_crsno sensitive capability
  • get_boundsno sensitive capability
  • get_centroidno sensitive capability
  • get_coordinatesno sensitive capability
  • get_crs_infono sensitive capability
  • get_geocentric_crsno sensitive capability
  • get_geod_infono sensitive capability
  • get_geometry_typeno sensitive capability
  • get_lengthno sensitive capability
  • get_raster_crsno sensitive capability
  • get_species_infono sensitive capability
  • get_utm_crsno sensitive capability
  • get_utm_zoneno sensitive capability
  • getis_ord_gno sensitive capability
  • getis_ord_g_localno sensitive capability
  • gm_lagno sensitive capability
  • hillshadeno sensitive capability
  • intersectionno sensitive capability
  • is_validno sensitive capability
  • join_countsno sensitive capability
  • join_counts_localno sensitive capability
  • knn_weightsno sensitive capability
  • make_validno sensitive capability
  • merge_gpdno sensitive capability
  • metadata_rasterno sensitive capability
  • minimum_rotated_rectangleno sensitive capability
  • moran_localno sensitive capability
  • morans_ino sensitive capability
  • nearest_point_on_geometryno sensitive capability
  • normalize_geometryno sensitive capability
  • ols_with_spatial_diagnostics_safeno sensitive capability
  • overlay_gpdno sensitive capability
  • point_in_polygonno sensitive capability
  • project_geometryno sensitive capability
  • raster_algebrano sensitive capability
  • raster_band_statisticsno sensitive capability
  • raster_histogramno sensitive capability
  • reclassify_rasterno sensitive capability
  • reproject_rasterno sensitive capability
  • resample_rasterno sensitive capability
  • rotate_geometryno sensitive capability
  • save_resultsno sensitive capability
  • scale_geometryno sensitive capability
  • simplifyno sensitive capability
  • sjoin_gpdno sensitive capability
  • sjoin_nearest_gpdno sensitive capability
  • snap_geometryno sensitive capability
  • spatial_markovno sensitive capability
  • symmetric_differenceno sensitive capability
  • tile_rasterno sensitive capability
  • transform_coordinatesno sensitive capability
  • translate_geometryno sensitive capability
  • triangulate_geometryno sensitive capability
  • unary_union_geometriesno sensitive capability
  • unionno sensitive capability
  • voronoino sensitive capability
  • weighted_band_sumno sensitive capability
  • weights_from_shapefileno sensitive capability
  • write_rasterno sensitive capability
  • zonal_statisticsno sensitive capability

What this scan could not see

Versions 2

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v0.15.0 latest A 95/100 2 1.13.0 2026-08-25
v0.14.0 A 95/100 2 1.12.1 2026-07-27

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 95/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan gis-mcp --online --registry pypi

Use the free API → How scoring works

Other implementations of Gis 1

Independent packages implementing the same tool, scanned with the same engine. Compare all 2 side by side →

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