# io.github.uponex/gisgp > GIS tools for AI agents: 65 free tools + 8 paid (hazard/site-scouting/GeoJSON export) - name: io.github.uponex/gisgp - version: 1.3.0 - connection class: R0 (autonomous) - trust: 91/100 - quality: 67/100 (needs work) - owner: not claimed - descriptor: https://api.protogrid.dev/v1/servers/io.github.uponex%2Fgisgp - tools: https://api.protogrid.dev/v1/servers/io.github.uponex%2Fgisgp/tools **An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe. ## Connection (mcpServers) ```json { "mcpServers": { "gisgp": { "type": "http", "url": "https://gisgp.com/mcp" } } } ``` ## Trust - hygiene: 100 - liveness: 99 - freshness: 85 - provenance: 80 - drivers: +repository +namespace-matches-repo +reachable +uptime-98% ~updated-83d-ago - Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. ## Quality 67/100 (needs work) ### protocol: 75 (weight 25) - warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28 - n/a `protocol.stateless`: only applies to 2026-07-28 servers - pass `protocol.transport`: streamable HTTP - n/a `protocol.list_ttl`: only applies to 2026-07-28 servers ### authorization: n/a (weight 15) - n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth - n/a `auth.secret_in_url`: no templated URL ### tool hygiene: 57 (weight 30) - pass `tools.descriptions`: every tool has a description - warn `tools.description_length`: 1 tools have descriptions over 1,024 characters, which crowds the context - pass `tools.schemas`: every tool has an object input schema - fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones - fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: compare_schemas (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); shapefile_to_geojson (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); kml_to_geojson (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); … - warn `tools.token_cost`: about 17,890 tokens to load every tool - pass `tools.api_dump`: tools are not a one-to-one API dump ### stability: 75 (weight 15) - warn `stability.changes`: 6 tool changes in 30 days - pass `stability.rug_pull`: no tool changed its meaning under the same name ### dependencies: n/a (weight 15) - n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package - tools: 112, about 17,890 tokens to load them all - tool set hash: 190314acf430caff38a9021ef82eee05 - tools last changed: 2026-10-18T16:17:54.595Z - badge: [![protogrid quality](https://protogrid.dev/badge/io.github.uponex/gisgp.svg)](https://protogrid.dev/servers/io.github.uponex/gisgp) - Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. ### Tool changes - 2026-10-18 `convert_file` added - GISGP Lite ($3 a month, 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, source="mapinfo-tab"), FileGDB (.zip, source="filegdb"), DXF or DWG; `to` geojson | shapefile | kml | kmz | gpx | csv | xlsx | gpkg | flatgeobuf | mapinfo-tab | wkt | dxf. `source_epsg` for projected CSV / a shapefile without .prj, `target_epsg` to reproject (GeoJSON-composable pairs). File up to 4.5 MB inline (base64). Returns JSON {ok, filename, content_type, size, data_base64} or {ok, download_url} for big results, {ok: false, error, pairs} otherwise. - 2026-10-18 `get_elevation` added - GISGP Lite ($3 a month, 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, source, resolution_m, credit}; elevation_m is null at sea. For a free, coarser answer use get_terrain_profile. - 2026-10-18 `guess_crs` added - GISGP Lite ($3 a month, 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); 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. - 2026-10-18 `plss_find` added - GISGP Lite ($3 a month, 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` 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}. - 2026-10-18 `plss_lookup` added - GISGP Lite ($3 a month, 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, …} or {ok, found: false, note}. - 2026-10-18 `generate_contours` added - GISGP Lite ($3 a month, 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) 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}. Full history: https://api.protogrid.dev/v1/servers/io.github.uponex%2Fgisgp/changes ## Remotes - https://gisgp.com/mcp (streamable-http, auth none, reachable true, uptime30d 0.9830508) ## Packages _none_ ## Tools (112) - `analyze_location`: 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`: 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: official FAA Digital Obstacle File (652k+ records nationwide). If proposed_height_agl_ft is given, flags the general 14 CFR Part 77 200ft AGL notification threshold — a single well-documented rule, not a full aeronautical study (lower heights near airports can also trigger notification, not checked here). Requires Authorization: Bearer and sufficient credits balance. Returns JSON: {ok, obstacle_count, obstacles, tallest_nearby_agl_ft, likely_requires_faa_notification, note}. - `assess_datacenter_site`: 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 suitability score — each source reported honestly. Requires Authorization: Bearer and sufficient credits balance. Returns JSON: {ok, hazard, grid_proximity, land_cover, cooling_climate, note}. - `assess_energy_community_credit`: 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-employment + above-average-unemployment areas) — a point qualifies if either matches. Reports qualification only, not a project-specific dollar estimate (the +10 percentage-point ITC/PTC bonus is the one publicly documented figure). Requires Authorization: Bearer and sufficient credits balance. Returns JSON: {ok, lon, lat, qualifies_ for_bonus_credit, coal_closure_pathway, msa_fossil_employment_pathway, bonus_note, source}. - `assess_ev_charging_site`: 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`: 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_lines: {count, volt_classes, owners, source}}. - `assess_pipeline_proximity`: 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 before excavation. No key needed. Returns JSON: {ok, count, pipeline_types, operators, source, note}. - `assess_portfolio_climate_disclosure`: 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 aggregate counts (properties with FEMA disaster history, properties with active NOAA alerts) alongside each property's own full result — no invented portfolio-level risk score. Use estimate_cost(tool_name= "assess_portfolio_climate_disclosure", units=) first to quote. Requires Authorization: Bearer . Returns JSON: {ok, evaluated, scored_count, failed_count, failed, properties_with_disaster_ history_10y, properties_with_active_weather_alerts, properties, note}. - `assess_property_hazard`: 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 and a sufficient credits balance — top up at https://gisgp.com/billing/mcp-credits/topup. Use estimate_cost first to quote without charging. Returns JSON: {ok, pga_percent_g, hazard_note, source, disaster_history_10y, active_weather_alerts}. NOTE 2026-07-28: still not a full multi-hazard property report — no flood-plain/wildfire-hazard polygon layer is reachable from GISGP's infrastructure (FEMA NFHL/USFS geo-IP/WAF blocks), see hazard_scoring.py module docstring and .claude/plans/kind-snacking-puppy.md. No invented composite risk score — each source is reported honestly as what it is. - `assess_property_hazard_x402`: 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, pga_percent_g, hazard_note, source, disaster_history_10y, active_weather_alerts}. - `assess_protected_area_proximity`: 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, managing agency, designation type, public access. US-only. Returns JSON: {ok, count, areas, source, note}. - `assess_reforestation_site`: 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 (carbon-offset/land-screening use case), no invented "sequestration score". Requires Authorization: Bearer and sufficient credits balance. Returns JSON: {ok, terrain, land_cover, physically_unsuitable, precipitation, note}. - `assess_renewable_site`: 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 substitute for a professional feasibility study. - `assess_site_due_diligence`: 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: Bearer and sufficient credits balance. Use estimate_cost first to quote. Returns JSON: {ok, hazard, grid_exposure, land_cover, locality, note}. - `assess_supply_chain_redundancy`: 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 disaster incident types they share in the last 10 years. No invented "redundancy score" — the caller judges independence from the real data. CAVEAT: FEMA disaster history is STATE-level, not point-level — two sites in the same state usually share most incident types regardless of true distance, so distance_km is the more reliable independence signal for same-state comparisons. Requires Authorization: Bearer and sufficient credits balance. Returns JSON: {ok, distance_km, site_a, site_b, shared_fema_incident_types_10y, note}. - `assess_telecom_site`: 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`: 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 separate honest indicators, no fabricated combined risk score. Returns JSON: {ok, active_fires, grid_proximity}. - `audit_service`: 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`: 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`: 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_url, no email/web UI account needed beyond the API key. Reuses the same scheduler that runs the paid web app's scheduled exports (fires within ~5 min of the due time). format: "csv", "geojson", "shapefile", "kml", or "excel". frequency: "hourly" (top of each hour), "daily" (at run_hour UTC), "weekly" (at run_hour UTC on `weekday`, 0=Monday..6=Sunday), or "monthly" (at run_hour UTC on `monthday`, 1-28). webhook_url: must be a public, reachable HTTPS URL (validated at creation AND at every delivery) — GISGP POSTs a JSON body {schedule_id, format, row_count, filename, delivered_at, data_base64 (or download_url for files >5MB)}. If the wallet lacks 30 credits when a delivery is due, that cycle is silently skipped (schedule stays active, no error surfaced to you) — top up any time at https://gisgp.com/billing/mcp-credits/topup and the next cycle delivers normally. Use estimate_cost or check_wallet_balance to plan ahead. Delete via cancel_export_schedule when no longer needed — an abandoned schedule with an empty wallet just skips forever, but does not charge or error. Requires Authorization: Bearer . Returns JSON: {ok, schedule_id, next_run_at}. - `bundle_export_fixed`: 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 plus find_layer_issues. Requires Authorization: Bearer and sufficient credits balance. Returns JSON: {ok, feature_count, fixed_count, truncated, issues, issue_count, geojson} — geojson is the fetched (and repaired) data. - `bundle_export_multi_format`: 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 and sufficient credits balance. Returns JSON: {ok, feature_count, truncated, zip_base64, formats}. - `bundle_geocode_enrich`: 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. Replaces 3 separate calls per address: geocode_address + analyze_location + classify_land_cover. Use estimate_cost(tool_name= "bundle_geocode_enrich", units=
) first to quote. Requires Authorization: Bearer and sufficient credits balance. Returns JSON: {ok, results: [{address, ok, lon, lat, display_name, geocode_source, country, region, locality, land_cover} or {address, ok:false, error}], evaluated, failed_count}. - `bundle_migrate_convert`: 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 "replaces" field. Requires Authorization: Bearer and sufficient credits balance. input_format: "shapefile" (data = base64-encoded .zip), "kml", "gpx", or "csv" (data = raw text for the latter three). to_epsg: 0 skips reprojection (keeps the converter's native WGS84 output). simplify_tolerance: 0 skips simplification (Douglas-Peucker, degrees). round_decimals: coordinate rounding, always applied (default 6). Returns JSON: {ok, feature_count, geojson, reprojection_notice}. - `bundle_migration_readiness`: 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 and sufficient credits balance. Returns JSON: {ok, schema_diff, domains_a, domains_b, fields_a, fields_b, ready, blockers} — ready is False and blockers lists the reasons if the schema diff finds added/removed/changed fields or a geometry mismatch. - `calculate_route`: 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 either way, no GISGP account needed for this option). Returns "no_route" honestly when no driving path exists (e.g. across open water). Returns JSON: {ok, routable, distance_km, duration_min, source}. - `cancel_export_schedule`: 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`: 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`: 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`: 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`: FREE — check your own MCP credits wallet balance (the same account paid tools like assess_property_hazard charge against). Requires Authorization: Bearer — an agent can call this on its own, no browser/dashboard needed. Returns JSON: {ok, balance, eur_equivalent} or {ok: false, error} if no API key was provided. - `classify_land_cover`: 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 earlier ESA WorldCover WMS source, which was confirmed dead (being phased out). This ArcGIS REST identify endpoint was live-verified locally (Sofia -> class 8, "Artificial Surface or Urban Area") before this swap. - `compare_schemas`: 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`: 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`: GISGP Lite ($3 a month, 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, source="mapinfo-tab"), FileGDB (.zip, source="filegdb"), DXF or DWG; `to` geojson | shapefile | kml | kmz | gpx | csv | xlsx | gpkg | flatgeobuf | mapinfo-tab | wkt | dxf. `source_epsg` for projected CSV / a shapefile without .prj, `target_epsg` to reproject (GeoJSON-composable pairs). File up to 4.5 MB inline (base64). Returns JSON {ok, filename, content_type, size, data_base64} or {ok, download_url} for big results, {ok: false, error, pairs} otherwise. - `convex_hull_geojson`: 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`: Count features in an ArcGIS FeatureServer layer, optionally filtered by a WHERE clause. service_url: full layer URL ending in /FeatureServer/. token: only for private layers. Returns JSON: {"ok": true, "count": ..., "name": ..., "geometry": ...}. - `csv_to_geojson`: 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`: 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`: 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, never a fabricated guess. Pure computation, no external API. Returns JSON: {ok, order, confidence, note}. - `discover_open_geodata`: 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. Not a universal open-data search (ArcGIS Hub coverage only — see tool note). Returns JSON: {ok, query, count, results, source, note}. - `discover_open_geodata_pro`: 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 of probing each service_url. Same coverage as the free discover_open_geodata (ArcGIS Hub Open Data), no key, real REST metadata. Needs an API key with credits — use estimate_cost first. Returns JSON: {ok, query, count, enriched, results:[{name, type, source_org, description, service_url, layer_name, geometry_type, fields, field_count, record_count, max_record_count, supports_query}]}. - `dissolve_geojson`: 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`: 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 (curves tessellated into LineString/Polygon), TEXT/MTEXT become points with a `text` property, and block INSERTs are expanded at their real position/scale/rotation with ATTRIB values as properties; 3D solids and meshes have no 2D GIS equivalent and are skipped, not errored on. Every feature's properties.layer carries its DXF layer name (group code 8). Pass `layer` to return only that layer's entities — see list_dxf_layers to discover what layer names exist first. - `dxf_to_pdf_report`: 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/lat) — use georeference_dxf first if you need a real-world-referenced report. Requires Authorization: Bearer and sufficient credits balance. Returns JSON: {ok, pdf_base64, feature_count}. - `embed_map_snippet`: Ready-to-paste