MCP server

Gisgp

io.github.uponex/gisgp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

112

Token cost

About 22,062 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http gisgp https://gisgp.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.gisgp]
url = "https://gisgp.com/mcp"

Gemini CLI

{"mcpServers":{"gisgp":{"httpUrl":"https://gisgp.com/mcp"}}}

Cursor

{"mcpServers":{"gisgp":{"url":"https://gisgp.com/mcp"}}}

VS Code

{"servers":{"gisgp":{"type":"http","url":"https://gisgp.com/mcp"}}}

Antigravity

agy mcp add gisgp https://gisgp.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"gisgp","server_url":"https://gisgp.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"gisgp","server_url":"https://gisgp.com/mcp"}

Tools

• analyze_location ~130 tokens
  Reverse-geocode a WGS84 point to country/region/locality via OSM Nominatim (no key, free — fair-use rate limited, best-effort). Returns JSON: {ok, display_name, country, country_code, region, locality, source}.
• assess_airspace_obstruction_proximity ~339 tokens
  PAID (100 credits) — nearby FAA-registered vertical obstructions (towers, stacks, wind turbines) at a US point, for telecom/tower-siting due diligence (e.g. "is there anything tall already near this proposed tower site", "does a 250ft tower here need FAA notification"). Source: offic
• assess_datacenter_site ~216 tokens
  PAID (300 credits) — data center site-scouting composite: grid proximity (power availability), multi-source hazard (seismic + FEMA + NOAA, required — same contract as assess_property_hazard), land cover, and a year of temperature history (cooling-load proxy). No invented overall suit
• assess_energy_community_credit ~294 tokens
  PAID (100 credits) — US Inflation Reduction Act "energy community" bonus tax credit qualification lookup for a renewable energy project site. Checks both DOE/NETL-published qualifying pathways (coal-mine- closure/coal-plant-retirement adjoining tracts, and MSA/non-MSA fossil- fuel-em
• assess_ev_charging_site ~151 tokens
  One-call EV charging site-scouting indicator: grid proximity (power for fast-charging) + land cover + locality context, combined from GISGP's existing free primitives. No key needed. Returns JSON: {ok, grid_proximity, land_cover, location, physically_unsuitable}.
• assess_grid_exposure ~170 tokens
  Electric grid infrastructure proximity at a US point: nearby substations + transmission lines within 10 miles (community ArcGIS mirror of HIFLD data — proximity indicator, not a certified survey). No key needed. Returns JSON: {ok, substations: {count, nearest, source}, transmission_l
• assess_pipeline_proximity ~191 tokens
  Natural gas interstate/intrastate transmission pipeline proximity at a US point (EIA/HIFLD, 32,892 segments). Substitute for proprietary local-utility "call before you dig" data — covers major transmission pipelines only, NOT local distribution lines. Not a substitute for calling 811
• assess_portfolio_climate_disclosure ~318 tokens
  PAID (200 credits PER PROPERTY, max 25 properties/call) — bulk physical climate-risk disclosure input for a real-estate/asset portfolio (SEC climate disclosure rule / EU CSRD physical-risk reporting). Runs assess_property_hazard for each [lon, lat] property and returns honest aggrega
• assess_property_hazard ~335 tokens
  PAID (200 credits) — multi-source US property hazard indicator: USGS seismic risk (required), plus best-effort FEMA disaster declaration history (state, last 10 years) and NOAA real-time active severe weather alerts at the point. Requires Authorization: Bearer <api_key> and a suffici
• assess_property_hazard_x402 ~181 tokens
  PAID via x402 (USDC on Base Sepolia testnet, ~$0.20/call) — no GISGP account or API key needed, the agent pays directly on-chain. Multi-source US property hazard indicator (USGS seismic + FEMA disaster history + NOAA active alerts), same underlying data as assess_property_hazard. Returns JSON: {ok,
• assess_protected_area_proximity ~193 tokens
  US protected/conservation area proximity via USGS PAD-US (public domain, commercial-use OK — unlike Protected Planet/WDPA, whose API explicitly forbids commercial-entity use). Reports whether the point falls inside/near (2 mile radius) a federally-tracked protected area: name, managi
• assess_reforestation_site ~229 tokens
  PAID (100 credits) — reforestation/afforestation site-scouting composite: terrain, land cover (flags already-forested/urban/water/snow as unsuitable), and a year of precipitation history (tree-viability proxy). All-free-primitive composite, priced for the bulk-screening convenience (
• assess_renewable_site ~171 tokens
  One-call solar/wind site-scouting indicator: terrain + land cover + 1-year solar/wind climate averages + grid proximity, combined from GISGP's existing free primitives (no new external source). No key needed. Returns JSON: {ok, terrain, land_cover, solar_wind, grid_proximity}. Not a
• assess_site_due_diligence ~202 tokens
  PAID (300 credits) — master due-diligence report for a point: wraps assess_property_hazard (seismic + FEMA + NOAA, required) plus grid proximity, land cover, and reverse-geocoded locality — all in one call. No invented overall "site score" across sources. Requires Authorization: Bear
• assess_supply_chain_redundancy ~344 tokens
  PAID (400 credits) — checks whether two supposedly-redundant sites (e.g. two "backup" suppliers/warehouses/data centers) are actually independent: real geodesic distance between them + each site's own multi-source hazard profile (seismic + FEMA + NOAA) side by side, plus any FEMA dis
• assess_telecom_site ~147 tokens
  One-call cell tower site-scouting indicator: grid proximity + terrain elevation (line-of-sight proxy) + land cover, combined from GISGP's existing free primitives. No key needed. Returns JSON: {ok, grid_proximity, terrain, land_cover, physically_unsuitable}.
• assess_wildfire_risk ~190 tokens
  Real-time active wildfire proximity at a point via NASA FIRMS (VIIRS satellite hotspot detections, last 2 days) + electric grid exposure (transmission lines are a documented wildfire-ignition- liability factor). No key needed — GISGP holds its own free NASA FIRMS key server-side. Two
• audit_service ~161 tokens
  Full one-call QA report of an ArcGIS FeatureServer layer: health (latency, record count, capabilities) + field schema + coded domains + summary counts. One call replaces separate health/fields/domains lookups. Returns JSON: {name, geometry_type, health, fields, domains, summary}.
• buffer_geojson ~155 tokens
  Buffer every feature by a distance in METRES (negative shrinks). Geodesically accurate at any latitude (each feature is buffered in a local equidistant projection). Returns JSON {ok, distance_m, geojson} where geojson is a FeatureCollection of buffer polygons.
• bundle_create_export_schedule ~657 tokens
  PAID PER DELIVERY (30 credits each time it fires, NOT at creation — free to create/cancel) — the only MCP tool that exposes GISGP's core recurring-export product to agents: creates a schedule that re-exports a FeatureServer layer on its own and POSTs the file straight to your own webhook
• bundle_export_fixed ~251 tokens
  PAID (150 credits) — fetch ALL records from a live FeatureServer layer (no 50-record preview cap), auto-repair invalid geometries (GEOS make_valid), and scan for common problems, in one call. Replaces an uncapped query_features call (itself a paid-only capability) plus fix_geometry p
• bundle_export_multi_format ~216 tokens
  PAID (120 credits) — fetch ALL records from a live FeatureServer layer once, then export the same data as Shapefile + CSV + GeoJSON + KML + Excel in a single ZIP (base64-encoded). Replaces an uncapped fetch plus 4 separate format-conversion calls. Requires Authorization: Bearer <api_
• bundle_geocode_enrich ~292 tokens
  PAID (30 credits PER ADDRESS, max 10 addresses/call) — batch geocode + enrich. For each address: forward-geocodes to lon/lat (free fallback chain: OSM Nominatim -> Photon -> US Census), then reverse-geocodes for country/region/locality context and classifies land cover at that point.
• bundle_migrate_convert ~377 tokens
  PAID (40 credits) — one-call file migration: convert a raw file to GeoJSON, then optionally reproject and simplify, then round coordinates. Replaces 2-4 separate free tool calls (convert + reproject + simplify + round) an agent would otherwise chain by hand — see estimate_cost's "rep
• bundle_migration_readiness ~276 tokens
  PAID (100 credits) — migration-readiness report comparing two FeatureServer layers: schema diff, coded-value domains, and field types for both. Replaces compare_schemas + extract_domains×2 + check_field_types×2. Requires Authorization: Bearer <api_key> and sufficient credits balance.
• calculate_route ~278 tokens
  Real driving distance + duration between two points. Default: OSRM (public demo instance, no key — fair-use limited, not a production SLA). Optional agol_token: route through Esri's own World Route Service instead — uses YOUR OWN AGOL credentials/quota, not GISGP's (no extra charge e
• cancel_export_schedule ~127 tokens
  FREE — cancel a schedule created by bundle_create_export_schedule. Only the API key that created it can cancel it. Returns JSON: {ok} or {ok: false, error}.
• centroids_geojson ~135 tokens
  Get the center point of each polygon/line feature — e.g. "find the center of each parcel", "convert polygons to points for labeling", "centroid of each feature". Properties are kept. Returns JSON {ok, geojson} — a FeatureCollection of points.
• check_field_types ~139 tokens
  Inspect the field schema of an ArcGIS FeatureServer layer. Returns JSON: {layer_name, geometry_type, fields:[{name, alias, type, length, nullable, has_domain}]} — useful before importing/mapping data.
• check_service_health ~136 tokens
  Check whether an ArcGIS FeatureServer layer is reachable and responsive. Returns JSON: {ok, ms (latency), name, geometry_type, field_count, record_count, capabilities, max_record_count}.
• check_wallet_balance ~138 tokens
  FREE — check your own MCP credits wallet balance (the same account paid tools like assess_property_hazard charge against). Requires Authorization: Bearer <api_key> — an agent can call this on its own, no browser/dashboard needed. Returns JSON: {ok, balance, eur_equivalent} or {ok: fa
• classify_land_cover ~222 tokens
  Land cover class at a WGS84 point via ESA CCI Land Cover 2018 (ArcGIS Living Atlas ImageServer, no key, 300m resolution). Returns JSON: {ok, class_code, class_label, source}. NOTE 2026-07-26: gated separately (mcp_layer1_landcover, Off pending live smoke-check) — swapped from the ea
• compare_schemas ~179 tokens
  Compare the field schemas of two ArcGIS FeatureServer layers. Returns JSON diff: {added, removed, changed:[{field, diffs}], same, geometry_match, identical} — useful for QA before an import or migration.
• convert_coordinates ~176 tokens
  Convert coordinate pairs between EPSG coordinate systems (max 1000 points). points: [[x, y], ...] in from_epsg axis order (lon/lat for EPSG:4326). Returns JSON: {"points": [[x, y], ...], "from_epsg": ..., "to_epsg": ...}.
• convert_file ~382 tokens
  GISGP Lite ($6 a month, $3 for 7 days, or $1 once for 24 hours) — pass the api_key of that account (or Authorization: Bearer). convert one GIS file between formats with the full site converter: input shapefile (.zip), KML/KMZ, GPX, CSV, GeoJSON, GPKG, FlatGeobuf, MapInfo TAB (.zip, sourc
• convex_hull_geojson ~136 tokens
  Draw the smallest polygon that wraps around all input features (a convex hull) — e.g. "draw a boundary around these points", "find the outer perimeter of my data", "convex hull of these locations". Returns JSON {ok, geojson} — a single polygon.
• count_features ~170 tokens
  Count features in an ArcGIS FeatureServer layer, optionally filtered by a WHERE clause. service_url: full layer URL ending in /FeatureServer/<n>. token: only for private layers. Returns JSON: {"ok": true, "count": ..., "name": ..., "geometry": ...}.
• csv_to_geojson ~132 tokens
  Convert a CSV/spreadsheet with lat/lon (or X/Y) columns to GeoJSON — auto-detects the coordinate columns (e.g. "map this spreadsheet", "CSV with lat/lon to GeoJSON", "turn my Excel export into map points"). Returns a GeoJSON FeatureCollection as a JSON string.
• csv_to_gpx ~111 tokens
  Convert a CSV with latitude/longitude columns directly to GPX waypoints (2026-09-03) — e.g. "these coordinates to a GPX for my GPS". Column names are auto-detected (lat/latitude/y, lon/lng/longitude/x).
• detect_coordinate_order ~193 tokens
  Detect whether [x, y] pairs are [lon, lat] or [lat, lon] — resolves a genuinely common real-world confusion (one of the most-viewed GIS StackExchange questions ever, 550k+ views). Certain when any value exceeds ±90 (only longitude can); honestly reports 'inconclusive' otherwise, neve
• discover_open_geodata ~203 tokens
  Keyword search across ArcGIS Hub Open Data — real public FeatureServer/MapServer datasets from government/organization ArcGIS Online portals worldwide. Returns real service_url values usable directly with query_features/count_features/rest_explore/compare_schemas. Free, no API key. N
• discover_open_geodata_pro ~300 tokens
  PAID (30 credits) — open-data discovery with the metadata an agent needs BEFORE querying: up to 50 ArcGIS Hub results (free tool: 10) and, for the top 25, each layer's geometry type, field list, record count and query capability — so you can pick the right layer in one call instead o
• dissolve_geojson ~128 tokens
  Merge overlapping/adjacent geometries into one (optionally grouped by a property field `by` → one dissolved feature per distinct value). Returns JSON {ok, by, group_count, geojson}.
• dxf_to_geojson ~298 tokens
  Convert an AutoCAD DXF file's contents to GeoJSON — e.g. "convert this DXF to GeoJSON", "AutoCAD drawing to GIS format", "DXF export from Civil 3D to GeoJSON", "extract only the UTILITIES layer from this DXF". POINT/LINE/LWPOLYLINE/POLYLINE/ARC/CIRCLE/ELLIPSE/SPLINE/HATCH convert (cu
• dxf_to_pdf_report ~224 tokens
  PAID (150 credits) — render a DXF drawing to a one-page PDF site-plan report (vector plot + entity-type breakdown + layer list, base64- encoded PDF) — e.g. "make a PDF of this site plan", "DXF to PDF report". No basemap (DXF coordinates are usually local drawing units, not real lon/l
• embed_map_snippet ~187 tokens
  Ready-to-paste <iframe> embed code for a live interactive map — thin wrapper around share_map (same live page, same 30-day TTL), for embedding directly in a website/dashboard rather than sharing a link. Returns JSON: {ok, embed_html, url, expires_at}.
• envelope_geojson ~127 tokens
  Get the bounding box (min/max rectangle) around each feature — e.g. "get the bounding box of this shape", "bbox for each feature", "rectangular extent of my geometry". Properties are kept. Returns JSON {ok, geojson}.
• epsg_suggest ~121 tokens
  Suggest the correct UTM EPSG code to project a WGS84 lon/lat into for accurate metric measurements (buffer/area/distance). Returns JSON {ok, epsg, utm_zone, hemisphere, name, warning}.
• estimate_cost ~257 tokens
  FREE — quote a paid tool's cost WITHOUT executing it or charging the wallet (call this before assess_property_hazard etc.). `units` = candidate/item count for per-unit-priced tools (currently only rank_hazard_safe_sites — pass the number of candidates you intend to submit); ignored (
• export_geojson_to_excel ~183 tokens
  PAID (80 credits) — convert a GeoJSON FeatureCollection to an Excel workbook (.xlsx, base64-encoded). Point geometries get LATITUDE/LONGITUDE columns; other geometry types get a GEOMETRY_WKT column. Separate from the web app's own Excel export (AGOL-service-tied, quota-gated there).
• export_geojson_to_pdf ~226 tokens
  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
• extract_domains ~122 tokens
  Extract coded value domains from an ArcGIS FeatureServer layer. Returns JSON: {"layer_name": ..., "domains": {field: {name, field_alias, codes}}}.
• find_layer_issues ~162 tokens
  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}.
• fix_geometry ~110 tokens
  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}.
• flatgeobuf_to_geojson ~161 tokens
  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
• format_coordinate ~276 tokens
  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
• full_service_audit ~190 tokens
  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, s
• generate_contours ~429 tokens
  GISGP Lite ($6 a month, $3 for 7 days, or $1 once for 24 hours) — 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)
• generate_static_map_image ~352 tokens
  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 report
• geocode_address ~218 tokens
  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 YOU
• geojson_diff ~183 tokens
  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, unchan
• geojson_to_csv ~137 tokens
  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.
• geojson_to_dxf ~170 tokens
  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
• geojson_to_flatgeobuf ~172 tokens
  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_
• geojson_to_gpx ~154 tokens
  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
• geojson_to_kml ~112 tokens
  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.
• geojson_to_mapinfo_tab ~172 tokens
  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 JSO
• geojson_to_shapefile ~140 tokens
  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}.
• geojson_to_wkt ~118 tokens
  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").
• geometry_health_report ~174 tokens
  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
• geometry_stats ~106 tokens
  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.
• georeference_dxf ~254 tokens
  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 JSO
• get_climate_history ~193 tokens
  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}.
• get_elevation ~200 tokens
  GISGP Lite ($6 a month, $3 for 7 days, or $1 once for 24 hours) — 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, so
• get_elevation_profile ~388 tokens
  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 s
• get_river_flow_status ~220 tokens
  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. Fi
• get_terrain_profile ~161 tokens
  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
• gpx_to_csv ~96 tokens
  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.
• gpx_to_geojson ~132 tokens
  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.
• gpx_to_kml ~90 tokens
  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".
• gpx_to_shapefile ~108 tokens
  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}.
• grade_service ~190 tokens
  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 pag
• guess_crs ~307 tokens
  GISGP Lite ($6 a month, $3 for 7 days, or $1 once for 24 hours) — 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); sa
• guess_crs_from_coordinates ~199 tokens
  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
• kml_to_geojson ~154 tokens
  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 Ge
• kml_to_gpx ~122 tokens
  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).
• kml_to_shapefile ~111 tokens
  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}.
• list_dxf_layers ~154 tokens
  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
• mapinfo_tab_to_geojson ~165 tokens
  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
• minimum_rotated_rectangle ~141 tokens
  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}.
• nearest_features_geojson ~137 tokens
  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}.
• offset_coordinates ~173 tokens
  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}.
• overlay_geojson ~186 tokens
  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,
• parse_coordinate ~283 tokens
  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 (34T
• plss_find ~217 tokens
  GISGP Lite ($6 a month, $3 for 7 days, or $1 once for 24 hours) — 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
• plss_lookup ~176 tokens
  GISGP Lite ($6 a month, $3 for 7 days, or $1 once for 24 hours) — 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,
• query_features ~202 tokens
  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.
• query_statistics ~240 tokens
  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"
• rank_hazard_safe_sites ~304 tokens
  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 b
• rank_renewable_sites ~219 tokens
  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 sco
• reduce_precision ~148 tokens
  Round every coordinate to N decimal places to shrink a GeoJSON file's size — e.g. "my GeoJSON file is too big", "reduce coordinate precision", "strip excess decimal places". 6 decimals ≈ 11cm precision, plenty for most mapping use cases.
• reproject_geojson ~169 tokens
  Change a GeoJSON's coordinate reference system (CRS/projection) — e.g. "reproject to Web Mercator", "convert WGS84 to UTM", "my coordinates are in the wrong CRS", "EPSG:4326 to EPSG:3857". Reprojects every geometry type between any two EPSG codes.
• rest_explore ~142 tokens
  List the layers and tables of an ArcGIS FeatureServer/MapServer root. Point at a service root to enumerate its layers/tables, or at a single layer URL to describe it. Returns JSON: {is_server, layers:[{id, name, type}]}.
• shapefile_to_geojson ~136 tokens
  Convert a Shapefile ZIP (base64-encoded .zip with .shp/.dbf/.shx[/.prj]) to a GeoJSON FeatureCollection. Reprojects to WGS84 if a .prj says otherwise. Returns JSON: {geojson: {...}, reprojection_notice: str|null}.
• shapefile_to_gpx ~126 tokens
  Convert a Shapefile ZIP (base64-encoded .zip with .shp/.dbf/.shx[/.prj]) directly to GPX — points become waypoints, lines/polygons become tracks (2026-09-03). Returns GPX 1.1 XML as plain text.
• share_map ~160 tokens
  Publish a GeoJSON FeatureCollection as a live, shareable map page on gisgp.com. Returns JSON: {url, expires_at} — url is a public interactive map a human can open in a browser (free links live 30 days). Use it to hand off results of a GIS workflow visually instead of pasting raw GeoJSON
• simplify_geometry ~149 tokens
  Reduce the number of vertices in GeoJSON geometry (Douglas-Peucker algorithm) — e.g. "simplify this polygon", "this shape has too many points", "reduce vertex count for faster rendering". Tolerance in degrees; lower = more detail kept.
• spatial_join_geojson ~175 tokens
  Attach properties from every B feature that satisfies a spatial predicate to each A feature (as a `_matches` list). predicate: intersects | within | contains | touches | crosses | overlaps. Returns JSON {ok, predicate, match_count, geojson}.
• tile_math ~128 tokens
  Convert a WGS84 lon/lat + zoom level to Slippy Map (XYZ) tile x/y, that tile's lon/lat bbox, and its Bing quadkey. Returns JSON {ok, zoom, x, y, tile_bbox, quadkey}.
• validate_geojson ~186 tokens
  Check whether a GeoJSON file/string is valid — catches broken geometry, malformed structure, self-intersections, and out-of-range coordinates before you try to use the file elsewhere (e.g. "is this GeoJSON valid", "why won't my GeoJSON load", "lint my GeoJSON", "check topology errors").
• voronoi_geojson ~150 tokens
  Divide space into regions closest to each input point (Voronoi diagram) — e.g. "find the service area for each location", "which points are closest to which store", "Voronoi/Thiessen polygons". Non-point features use their centroid. Needs at least 2 points. Returns JSON {ok, cell_cou
• wkt_to_geojson ~119 tokens
  Convert a WKT (Well-Known Text) geometry string — the format PostGIS/SQL geometry columns print by default — to GeoJSON (e.g. "this came from a PostGIS query", "WKT to GeoJSON", "parse this POLYGON(...) string").

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