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io.github.uponex/gisgp

REMOTE · GISGP.COM

GIS tools for AI agents: 65 free tools + 8 paid (hazard/site-scouting/GeoJSON export)

Available components

0 this week 75 Trust /100

Last scanned (5 hours ago)

Scores higher than 64% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Maps and Location

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security63
Transport & Reachability100
Schema Quality & AI Usability67
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 14489 tokens (~129/item across 112 items; 112 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 Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (99% of tools); any adoption earns full credit.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "share_map" implies "publish" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 113 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

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.

  • 1 Nov 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “bundle_create_export_schedule” rewrote its description, which is the text the model reads security
    • Tool “convert_file” rewrote its description, which is the text the model reads security
    • Tool “generate_contours” rewrote its description, which is the text the model reads security
    • Tool “get_elevation” rewrote its description, which is the text the model reads security
    • Tool “guess_crs” rewrote its description, which is the text the model reads security
    • Tool “plss_find” rewrote its description, which is the text the model reads security
    • Tool “plss_lookup” rewrote its description, which is the text the model reads security
  • 31 Oct 26 0
    • Tool “dxf_to_geojson” rewrote its description, which is the text the model reads security
  • 24 Oct 26 0
    • Tool “convert_file” rewrote its description, which is the text the model reads security
    • Tool “generate_contours” rewrote its description, which is the text the model reads security
    • Tool “get_elevation” rewrote its description, which is the text the model reads security
    • Tool “guess_crs” rewrote its description, which is the text the model reads security
    • Tool “plss_find” rewrote its description, which is the text the model reads security
    • Tool “plss_lookup” rewrote its description, which is the text the model reads security
  • 19 Oct 26 −1
    • New tool “convert_file” functional
    • New tool “generate_contours” functional
    • New tool “get_elevation” functional
    • New tool “guess_crs” functional
    • New tool “plss_find” functional
    • New tool “plss_lookup” functional
  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 24 Sept 26 0
    • Tool “dxf_to_geojson” rewrote its description, which is the text the model reads security
  • 23 Sept 26 0
    • New tool “format_coordinate” functional
    • New tool “parse_coordinate” functional
Diagnostics

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 5 Nov 2026 · Probed https://gisgp.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=gisgp.com CN=WE1,O=Google Trust Services,C=US 26 Sept 2026 25 Dec 2026 ECDSA 256 ECDSA-SHA256 b8d0570e45ff290f0ed9545bc43f0bda
SANs: gisgp.com, *.gisgp.com
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of gisgp.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
gisgp.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000; includeSubDomains
content-security-policy default-src 'self'; script-src 'self' 'unsafe-inline' 'wasm-unsafe-eval' https:; style-src 'self' 'unsafe-inline' https:; img-src 'self' data: blob: https:; font-src 'self' data: https:; media-src 'self' https:; connect-src 'self' https: wss: data:; frame-src 'self' https:; worker-src 'self' blob:; object-src 'none'; base-uri 'self'; form-action 'self' https:; frame-ancestors 'self'
x-content-type-options nosniff
x-frame-options SAMEORIGIN
referrer-policy strict-origin-when-cross-origin
permissions-policy geolocation=(self), camera=(), microphone=()

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://gisgp.com/mcp Verified 200
http (plaintext) http://gisgp.com/mcp HTTPS enforced 301 https://gisgp.com/mcp
MCP tools · 112 exposed · ~14,391 tokens

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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
export_geojson_to_pdf ~142

PAID (150 credits) — render an ad-hoc GeoJSON FeatureCollection to a one-page PDF report (static map + property table, base64-encoded PDF). Separate from the web app's own PDF Builder (AGOL-service-tied, quota- gated there) — this is for GeoJSON an agent already has in hand. Requires Authorization: Bearer <api_key> and sufficient credits balance. Returns JSON: {ok, pdf_base64, feature_count, truncated, size_bytes}.

NameTypeReqDescription
accentstring––
geojsonstringyes–
titlestring––
NameTypeReqDescription
resultstringyes–

No examples provided.

extract_domains ~60

Extract coded value domains from an ArcGIS FeatureServer layer. Returns JSON: {"layer_name": ..., "domains": {field: {name, field_alias, codes}}}.

NameTypeReqDescription
service_urlstringyes–
tokenstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

find_layer_issues ~90

Scan an ArcGIS FeatureServer layer for common problems: missing ObjectID, disabled query, stale data, all-null fields, features without geometry. Sample-based (first 200 records). Returns JSON: {layer_name, issues:[{severity, code, message}], issue_count, sample_size, note}.

NameTypeReqDescription
service_urlstringyes–
tokenstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

fix_geometry ~61

Repair invalid geometries (self-intersections, bad rings) via GEOS make_valid. Already-valid geometries are left untouched. Returns JSON {ok, fixed_count, feature_count, geojson}.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

flatgeobuf_to_geojson ~102

Convert a FlatGeobuf file (base64-encoded .fgb) to a GeoJSON FeatureCollection. FlatGeobuf is a cloud-native binary format with a built-in spatial index, used for fast HTTP-range-request streaming (e.g. deck.gl, MapLibre, QGIS cloud layers). Returns the GeoJSON FeatureCollection as a JSON string.

NameTypeReqDescription
flatgeobuf_base64stringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

format_coordinate ~227

Express one WGS84 point in every common notation at once: decimal degrees, DMS, DDM, UTM (zone/band/easting/northing), MGRS and USNG, British National Grid reference (inside GB only), Geohash, Plus Code, Web Mercator metres, the ArcGIS Online "lon, lat" form, the best local UTM EPSG code, plus ready-to-open Google Maps / Street View / Google Earth / Apple / Bing / OpenStreetMap / Waze links. Pure computation. mgrs_precision: 1-5 digit pairs (10 km ... 1 m), default 5. Returns JSON: {ok, decimal_degrees, dms, ddm, utm, mgrs, usng, bng, geohash, plus_code, web_mercator, agol_format, local_utm_epsg, links}.

NameTypeReqDescription
latnumberyes–
lonnumberyes–
mgrs_precisioninteger––
NameTypeReqDescription
resultstringyes–

No examples provided.

full_service_audit ~119

Complete one-call QA report: A-F grade + full audit (health/fields/ domains/summary) + issue scan, merged into one response — replaces 3 separate calls (grade_service + audit_service + find_layer_issues). Returns JSON: {ok, grade, score, categories, archetype, insight, percentile, share_url, audit: {name, health, fields, domains, summary}, issues, issue_count}.

NameTypeReqDescription
service_urlstringyes–
tokenstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

generate_contours ~290

GISGP Lite (a 24-hour pass, a 7-day pass or a monthly plan) — pass the api_key of that account (or Authorization: Bearer). contour lines for a box `bbox=[west, south, east, north]` (degrees) or a GeoJSON `polygon`, from Copernicus 30 m (`source="cop30"`, worldwide, up to 100 km² per box) or USGS 10 m (`"usgs10"`, US, up to 25 km²). `interval` in `units` ("m" or "ft"; omit for an automatic interval), `format` geojson | kml | kmz | shp | dxf | dxf3d | landxml | preview, `crs` an EPSG code for the DXF / LandXML (default: the UTM zone). Returns JSON: GeoJSON with stats for geojson/preview; for files {ok, filename, data_base64} or {ok, download_url}.

NameTypeReqDescription
api_keystring––
bbox–––
crsstring––
formatstring––
interval–––
major_everyinteger––
polygon–––
sourcestring––
unitsstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

generate_static_map_image ~227

Render a GeoJSON FeatureCollection/Feature to a static PNG map image (base64 data URL) — for embedding in reports/emails/documents, unlike share_map's interactive live page. basemap: 'topo', 'streets', or 'satellite'. Reuses the exact rendering path already used inside PDF map reports, no new map-rendering logic. Optional agol_token: for a single-Point input, renders through Esri's own Static Maps Service instead (real ArcGIS basemap tiles) — uses YOUR OWN AGOL credentials/quota, not GISGP's (multi-feature/non-point input always uses the default renderer regardless of token). Returns JSON: {ok, image_data_url, feature_count, width, height, basemap}.

NameTypeReqDescription
accentstring––
agol_tokenstring––
basemapstring––
geojsonstringyes–
heightinteger––
widthinteger––
NameTypeReqDescription
resultstringyes–

No examples provided.

geocode_address ~149

Forward-geocode a free-text address to lon/lat. Default: OSM Nominatim (no key, free, fair-use rate limited) — the complement to analyze_location's reverse geocode. Optional agol_token: route through Esri's own World Geocoding Service instead for more authoritative matches — uses YOUR OWN AGOL credentials/quota, not GISGP's (no extra charge either way, no GISGP account needed for this option). Returns JSON: {ok, lon, lat, display_name, type, importance, source}.

NameTypeReqDescription
addressstringyes–
agol_tokenstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_diff ~103

Compare two GeoJSON FeatureCollections — added/removed/changed features. Matched by an `id_field` property if given, else by array position (exact structural comparison, not topological equals). Returns JSON {ok, added, removed, changed, added_count, removed_count, changed_count, unchanged_count}.

NameTypeReqDescription
geojson_astringyes–
geojson_bstringyes–
id_fieldstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_to_csv ~86

Convert GeoJSON to CSV/spreadsheet — one row per feature, properties as columns, geometry flattened into a column (e.g. "turn this GeoJSON into Excel/CSV", "I need a spreadsheet from these map features", "export GeoJSON as a table"). Returns the CSV as plain text.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_to_dxf ~126

Convert GeoJSON to an AutoCAD DXF file — e.g. "export this GeoJSON to DXF for AutoCAD", "GIS data to CAD format", "convert to .dxf for Civil 3D". Points become DXF POINT entities; lines and polygon rings become LWPOLYLINE entities. A feature's properties.layer (if present) is written back as the DXF entity's layer (group code 8), defaulting to layer "0" otherwise.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_to_flatgeobuf ~118

Convert GeoJSON to FlatGeobuf (.fgb) — the cloud-native binary format with a built-in spatial index. FlatGeobuf holds one geometry type per file, so mixed point/line/polygon input is automatically split into one .fgb per category and returned inside a zip. Returns JSON: {flatgeobuf_base64|flatgeobuf_zip_base64: str, split: bool, split_categories: [str]|null}.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_to_gpx ~103

Convert GeoJSON to a GPX file — e.g. "export this as a GPS track", "GeoJSON to GPX for my Garmin", "make waypoints from this GeoJSON". Points become GPX waypoints; lines and polygon rings become GPX tracks (GPX has no native polygon type). Non-name properties are dropped — GPX has no generic attribute-table equivalent.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_to_kml ~72

Convert GeoJSON to KML for Google Earth / Google My Maps (e.g. "open this in Google Earth", "GeoJSON to KML", "make this viewable in Google My Maps"). Returns the KML as plain text.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_to_mapinfo_tab ~121

Convert GeoJSON to a MapInfo TAB file set, ready for MapInfo Pro. TAB is a multi-sidecar-file format (.tab/.dat/.id/.map) and single geometry type per file, like Shapefile — always returned as a zip, mixed point/line/polygon input is split into one .tab set per category. Returns JSON: {mapinfo_tab_zip_base64: str, split: bool, split_categories: [str]|null}.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_to_shapefile ~95

Convert GeoJSON to an Esri Shapefile ZIP — the format ArcGIS Desktop Pro/QGIS/most legacy GIS software still expects (e.g. "I need a shapefile for ArcGIS Pro", "GeoJSON to SHP", "convert for QGIS import"). Returns JSON: {shapefile_zip_base64, warnings}.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geojson_to_wkt ~78

Convert a GeoJSON geometry (or a Feature's geometry) to WKT — the format needed to insert geometry into PostGIS/SQL (e.g. "I need this for a PostGIS INSERT", "GeoJSON to WKT", "geometry as WKT string").

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geometry_health_report ~109

Complete one-call GeoJSON health check: validate + auto-repair invalid geometry + stats (area/length/vertices) + bbox envelope, merged — replaces 4 separate calls (validate_geojson + fix_geometry + geometry_stats + envelope_geojson). Returns JSON: {ok, valid, errors, warnings, fixed_count, stats, envelope, geojson} where geojson is the (possibly auto-fixed) input.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

geometry_stats ~56

Compute area (m²/km²), length (m/km), vertex count, centroid and bbox of GeoJSON. Metric measurements use an equal-area projection so area/length are real metres.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

georeference_dxf ~178

Reproject a DXF drawn in a local/arbitrary CAD coordinate system into real-world coordinates — e.g. "this DXF isn't in real coordinates, fix it", "georeference this site plan", "I know 2 points on this drawing's real location, convert the rest". Give exactly 2 control points as a JSON array: '[{"local":[x,y],"real":[lon,lat]}, {"local":[x,y],"real":[lon,lat]}]' — a 2-point similarity transform (uniform scale + rotation + translation) is solved and applied to every coordinate. Returns a GeoJSON FeatureCollection in the real coordinate system implied by the 2 points.

NameTypeReqDescription
control_pointsstringyes–
dxfstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

get_climate_history ~107

Daily historical weather for a point/date range via Open-Meteo's ERA5-based archive (no key, free, data back to 1940). Dates are YYYY-MM-DD. Returns JSON: {ok, daily: {time, <variables>...}, source}.

NameTypeReqDescription
end_datestringyes–
latnumberyes–
lonnumberyes–
start_datestringyes–
variablesstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

get_elevation ~143

GISGP Lite (a 24-hour pass, a 7-day pass or a monthly plan) — pass the api_key of that account (or Authorization: Bearer). height above mean sea level of one point from Copernicus GLO-30 (30 m), read from the public elevation model (GLO-90 fallback). Returns JSON {ok, elevation_m, source, resolution_m, credit}; elevation_m is null at sea. For a free, coarser answer use get_terrain_profile.

NameTypeReqDescription
api_keystring––
latnumberyes–
lonnumberyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

get_elevation_profile ~266

PAID (50 credits) — elevation PROFILE along a line, not a single point: pass points=[[lon,lat],…] (up to 100) or start=[lon,lat] + end=[lon,lat] with samples (2-100, evenly spaced). Returns every point's elevation and distance plus min/max, total gain/loss, net change, mean and max segment slope. For "how steep is this route", "line-of-sight terrain between two towers", "elevation change along this pipeline/trail". Copernicus DEM GLO-90 via Open-Meteo (~90 m). The free get_terrain_profile gives one point; this gives the whole line + the maths. Needs an API key with credits — use estimate_cost first. Returns JSON: {ok, points, distance_m, min/max/start/end_elevation_m, total_gain_m, total_loss_m, net_change_m, mean_slope_pct, max_segment_slope_pct, profile:[{i, lon, lat, distance_m, elevation_m}]}.

NameTypeReqDescription
end–––
points–––
samplesinteger––
start–––
NameTypeReqDescription
resultstringyes–

No examples provided.

get_river_flow_status ~152

Nearest USGS real-time stream/river gauge to a point (US rivers and streams only): live streamflow (ft3/s) and gauge height (ft), reported honestly as provisional USGS data — no derived flood-risk score, since USGS does not publish per-site flood-stage thresholds through this API. First real-time (not static/historical) primitive in the catalog. No key needed. Returns JSON: {ok, found, site_name, site_no, distance_miles, streamflow_cfs, gauge_height_ft, observation_time, source, note}.

NameTypeReqDescription
latnumberyes–
lonnumberyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

get_terrain_profile ~114

Get the ground elevation (metres above sea level) at a coordinate — e.g. "what's the elevation here", "is this point in a flood-risk lowland", "elevation at this address". Via Open-Meteo (Copernicus DEM GLO-90, no key, free, ~90m resolution). Returns JSON: {ok, lon, lat, elevation_m, source}.

NameTypeReqDescription
latnumberyes–
lonnumberyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

gpx_to_csv ~64

Convert a GPS track file (GPX) directly to CSV (2026-09-03) — waypoints get LATITUDE/LONGITUDE columns, tracks/routes get a GEOMETRY_WKT column instead.

NameTypeReqDescription
gpxstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

gpx_to_geojson ~92

Convert a GPS track/route file (GPX — from Garmin, Strava exports, hiking/cycling apps, waypoints) to GeoJSON (e.g. "convert my GPS track to GeoJSON", "GPX to GeoJSON", "import my Strava route"). Returns the GeoJSON FeatureCollection as a JSON string.

NameTypeReqDescription
gpxstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

gpx_to_kml ~59

Convert a GPS track file (GPX) directly to KML for Google Earth — e.g. "open my Garmin/Strava track in Google Earth", "GPX to KML".

NameTypeReqDescription
gpxstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

gpx_to_shapefile ~71

Convert a GPS track file (GPX) directly to an Esri Shapefile ZIP — waypoints become points, tracks/routes become lines (2026-09-03). Returns JSON: {shapefile_zip_base64, warnings}.

NameTypeReqDescription
gpxstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

grade_service ~115

Grade an ArcGIS FeatureServer layer A–F across 5 categories (schema quality, data completeness, performance, maintenance, configuration). Returns JSON: {grade, score, categories:[{key, label, score, note}], archetype, insight, percentile, share_url} — share_url is a public scorecard page you can send to a human. token: only for private layers (never stored in the scorecard).

NameTypeReqDescription
service_urlstringyes–
tokenstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

guess_crs ~216

GISGP Lite (a 24-hour pass, a 7-day pass or a monthly plan) — pass the api_key of that account (or Authorization: Bearer). which coordinate reference system puts these easting/northing rows where they belong. `lines` are text rows such as "P-7 690183.66, 4729859.76" (up to 1,000); say roughly where with `country` ("Kenya") or `lat`/`lon`. Returns JSON {ok, confidence: high|medium|low|none, candidates: [{epsg, name, area, swapped, national, km, lat, lon}], rows, bad_rows}. Then convert with the chosen EPSG via reproject_geojson or /api/v1/crs/apply.

NameTypeReqDescription
api_keystring––
countrystring––
lat–––
linesarrayyes–
lon–––
NameTypeReqDescription
resultstringyes–

No examples provided.

guess_crs_from_coordinates ~123

Best-guess candidate CRS for raw [x, y] coordinates with no metadata (e.g. a shapefile with a missing .prj) — real demand signal (79k+ views on GIS StackExchange). Genuinely ambiguous by nature — returns ranked candidates with an honest 'not a certain identification' caveat, never a single confident answer. Pure computation, no external API. Returns JSON: {ok, x_range, y_range, candidates, note}.

NameTypeReqDescription
pointsarrayyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

kml_to_geojson ~107

Convert Google Earth / Google My Maps KML (2.0–2.2) to GeoJSON — the common request when someone exported a map from Google Earth or Google My Maps and needs it in a format other GIS tools/APIs accept (e.g. "convert my Google Earth file to GeoJSON", "KML to GeoJSON"). Returns the GeoJSON FeatureCollection as a JSON string.

NameTypeReqDescription
kmlstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

kml_to_gpx ~92

Convert a Google Earth/My Maps KML file directly to GPX — waypoints from Points, tracks from Lines/Polygons — e.g. "KML to GPX for my Garmin", "load this map on my GPS" (2026-09-03, completes the reverse of the existing gpx_to_kml).

NameTypeReqDescription
kmlstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

kml_to_shapefile ~76

Convert a Google Earth/My Maps KML file directly to an Esri Shapefile ZIP — e.g. "Google Earth file to shapefile for ArcGIS", "KML to SHP". Returns JSON: {shapefile_zip_base64, warnings}.

NameTypeReqDescription
kmlstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

list_dxf_layers ~105

List the distinct DXF layer names used in a drawing — e.g. "what layers does this DXF have", "list layers before I extract one". Real CAD exports organize entities into named layers (BOUNDARY, UTILITIES, TEXT, ...); use the result with dxf_to_geojson's `layer` param to pull out just one. Returns a JSON array of layer name strings.

NameTypeReqDescription
dxfstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

mapinfo_tab_to_geojson ~103

Convert a MapInfo TAB file set (base64-encoded .zip containing .tab + its .dat/.map/.id sidecar files) to a GeoJSON FeatureCollection. MapInfo TAB is the native format of MapInfo Pro — a multi-file format on disk, always uploaded as a zip. Returns the GeoJSON FeatureCollection as a JSON string.

NameTypeReqDescription
mapinfo_tab_zip_base64stringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

minimum_rotated_rectangle ~77

Smallest-area rectangle wrapping all input features combined — can be tilted to fit tighter than a straight bounding box (e.g. "tightest rectangle around this data", "minimum bounding rectangle", "oriented bounding box"). Returns JSON {ok, geojson}.

NameTypeReqDescription
geojsonstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

nearest_features_geojson ~74

For each feature in A, find the nearest feature in B by centroid-to- centroid geodesic distance. Attaches `_nearest` properties and `_nearest_distance_m`. Returns JSON {ok, geojson}.

NameTypeReqDescription
geojson_astringyes–
geojson_bstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

offset_coordinates ~110

Move a WGS84 point by a geodesic distance (metres) along a compass bearing (0=N, 90=E, 180=S, 270=W). Pure computation, no external API. Returns JSON: {ok, lon, lat, origin_lon, origin_lat, distance_m, bearing_deg, source}.

NameTypeReqDescription
bearing_degnumberyes–
distance_mnumberyes–
latnumberyes–
lonnumberyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

overlay_geojson ~106

Combine two GeoJSON FeatureCollections with a boolean set operation. op: intersection | difference (a minus b) | symmetric_difference | union. Each side is unioned into one geometry first, then the operation is applied. Returns JSON {ok, op, geojson} — empty geojson means no overlap, not an error.

NameTypeReqDescription
geojson_astringyes–
geojson_bstringyes–
opstring––
NameTypeReqDescription
resultstringyes–

No examples provided.

parse_coordinate ~269

Parse ANY single coordinate string a human might paste into WGS84 lat/lon — decimal degrees with any separator or an EU decimal comma, DMS (42°41'51.7"N 23°19'18.9"E), DDM / GPS style (N 42° 41.535'), NMEA (4241.535,N,02319.314,E), UTM with a zone/band (34T 583000 4727000), MGRS (34TFN8300027000), British grid refs (TQ 30 80), Geohash, full Plus Codes, and Google/Apple/Bing/OSM map links. Detects lon,lat order from hemisphere letters, labels or out-of-range values and says so in `note`. Deterministic, no LLM — LLMs are unreliable past 2-3 decimals; this is exact. Ambiguous input (e.g. "583000 4727000" with no zone) is an error with a concrete hint, never a guess. Returns JSON: {ok, kind, label, lat, lon, note, ...notation fields}.

NameTypeReqDescription
textstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

plss_find ~188

GISGP Lite (a 24-hour pass, a 7-day pass or a monthly plan) — pass the api_key of that account (or Authorization: Bearer). a legal description → where it is: `q` like "T2N R3E Sec 14", "NW¼ SE¼ Sec 12 T3N R4W", "Township 1 North, Range 2 East" or BLM-coded "1460N 0920W SEC 8"; `state` the two-letter code (tried in every PLSS state when empty). Returns JSON {ok, results: [{label, state, lat, lon, bbox, plssid, geometry…}], read_as, notes}.

NameTypeReqDescription
api_keystring––
qstringyes–
statestring––
NameTypeReqDescription
resultstringyes–

No examples provided.

plss_lookup ~126

GISGP Lite (a 24-hour pass, a 7-day pass or a monthly plan) — pass the api_key of that account (or Authorization: Bearer). US Public Land Survey System township, range, section and meridian at a point (BLM CadNSDI). Returns JSON {ok, found, township, range, section, meridian, plssid, …} or {ok, found: false, note}.

NameTypeReqDescription
api_keystring––
latnumberyes–
lonnumberyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

query_features ~100

Fetch actual feature records (attributes + geometry) from a FeatureServer layer. Free preview capped at 50 records (WHERE filter + chosen fields). Returns JSON: {returned, total, truncated, geojson, note}. Full unlimited export is a paid operation.

NameTypeReqDescription
limitinteger––
out_fieldsstring––
service_urlstringyes–
tokenstring––
wherestring––
NameTypeReqDescription
resultstringyes–

No examples provided.

query_statistics ~128

Server-side aggregate stats on a numeric field of a FeatureServer layer. No records fetched — AGOL computes sum/avg/min/max/count (also stddev/var). Optional WHERE filter and group_by field. Returns JSON: {field, results:[...]}. Cheap way to answer "what's the average/total of field X" without an export.

NameTypeReqDescription
fieldstringyes–
group_bystring––
service_urlstringyes–
statsstring––
tokenstring––
wherestring––
NameTypeReqDescription
resultstringyes–

No examples provided.

rank_hazard_safe_sites ~200

PAID (200 credits PER CANDIDATE, max 25 candidates/call) — bulk seismic- risk screener. Runs assess_property_hazard's seismic check under the hood for each [lon, lat] candidate and returns only the top_n ranked by lowest real seismic risk (PGA). Not a full multi-hazard ranking — ranked by ONE real, single-source metric only (matches this project's no-invented- composite-score stance); disaster_history_10y/active_weather_alerts are still included per-candidate for context. Use estimate_cost(tool_name= "rank_hazard_safe_sites", units=<candidate count>) first to quote. Requires Authorization: Bearer <api_key>. Returns JSON: {ok, evaluated, excluded_count, excluded, ranked_by, top, note}.

NameTypeReqDescription
candidatesarrayyes–
top_ninteger––
NameTypeReqDescription
resultstringyes–

No examples provided.

rank_renewable_sites ~129

Bulk solar/wind site screener — evaluates up to 25 candidate points (each {"lon": ..., "lat": ...}) and returns only the top_n, ranked by average daily solar radiation. Candidates with unsuitable land cover (urban/water/snow) or no substation nearby are filtered out, not silently scored low. No invented composite score. No key needed. Returns JSON: {ok, evaluated, excluded_count, excluded, ranked_by, top}.

NameTypeReqDescription
candidatesarrayyes–
top_ninteger––
NameTypeReqDescription
resultstringyes–

No examples provided.

Install

How do I install the io.github.uponex/gisgp MCP server?

io.github.uponex/gisgp is a hosted endpoint at https://gisgp.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · gisgp.com

# add to Claude Code
claude mcp add --transport http uponex-gisgp 'https://gisgp.com/mcp'
Common questions

What is the io.github.uponex/gisgp MCP server?

io.github.uponex/gisgp is an MCP server listed in the public MCP registry as io.github.uponex/gisgp. GIS tools for AI agents: 65 free tools + 8 paid (hazard/site-scouting/GeoJSON export). This page covers its hosted endpoint (https://gisgp.com/mcp).

Is the io.github.uponex/gisgp MCP server safe to use?

io.github.uponex/gisgp scores 75 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.uponex/gisgp MCP server expose?

io.github.uponex/gisgp exposes 112 tools: convert_coordinates, validate_geojson, geojson_to_csv, count_features, extract_domains, and 107 more. Their descriptions and schemas cost roughly 14,391 tokens of context every time the server is loaded.

Does the io.github.uponex/gisgp MCP server require authentication?

No. We connected to io.github.uponex/gisgp without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the io.github.uponex/gisgp MCP server still maintained?

io.github.uponex/gisgp is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.