GISGP MCP server — free GIS tools for AI agents (docs only)
claude mcp add gisgp-mcp -- uvx gisgp-mcp{
"mcpServers": {
"gisgp-mcp": {
"command": "uvx",
"args": ["gisgp-mcp"]
}
}
}Resumen de MCP Servers
# GISGP MCP Server
[](https://glama.ai/mcp/servers/uponex/gisgp-mcp)
Free remote MCP (Model Context Protocol) server for GIS/ArcGIS Online automation.
**Endpoint:** `https://gisgp.com/mcp` (Streamable HTTP, stateless, no auth for public layers)
## Client config
```json
{ "mcpServers": { "gisgp": { "url": "https://gisgp.com/mcp" } } }
```
## Local/stdio server (open-source subset)
`server.py` is a self-contained, open-source MCP server (stdio transport)
implementing the format-conversion and geometry tools that need no external
service access — no ArcGIS Online credentials, no network calls. Build and
run it with the included `Dockerfile`:
```bash
docker build -t gisgp-mcp .
docker run -i --rm gisgp-mcp
```
```json
{ "mcpServers": { "gisgp-local": { "command": "docker", "args": ["run", "-i", "--rm", "gisgp-mcp"] } } }
```
The tools that inspect/query a live ArcGIS Online FeatureServer
(`count_features`, `extract_domains`, `check_field_types`,
`check_service_health`, `rest_explore`, `compare_schemas`, `query_features`,
`query_statistics`) require a real AGOL connection and stay on the hosted
remote endpoint above — they are not part of this local server.
## Hosted QA tools (hosted endpoint only)
The hosted server at `https://gisgp.com/mcp` also exposes ArcGIS Online QA tools that
need a live AGOL connection and can't run in this local/stdio server:
| Tool | What it does |
|---|---|
| `grade_service` | Grade any FeatureServer A–F across 5 categories (schema, completeness, performance, maintenance, configuration) — returns a public shareable scorecard link |
| `audit_service` | One-call QA report: health + field schema + coded domains + summary counts |
| `find_layer_issues` | Scan a layer for problems: all-null fields, empty geometries, stale data, missing ObjectID, disabled query |
| `share_map` | Publish a GeoJSON FeatureCollection as a live shareable web map |
| `full_service_audit` | Merges grade_service + audit_service + find_layer_issues into a single call |
| `count_features` / `extract_domains` / `check_field_types` / `check_service_health` / `rest_explore` / `compare_schemas` / `query_features` / `query_statistics` | Inspect/query a live ArcGIS FeatureServer |
Also hosted-only: `get_terrain_profile`, `get_climate_history`, `classify_land_cover`,
`analyze_location` — free geo primitives backed by third-party open-data APIs
(Open-Meteo, ESA CCI Land Cover, OSM Nominatim), kept on the hosted endpoint rather
than this offline server since they need outbound internet access to those services.
### Layer 2 — paid tools (hosted endpoint only)
| Tool | What it does |
|---|---|
| `estimate_cost` | Free — quote a paid tool's credit cost without executing it |
| `check_wallet_balance` | Free — check your own MCP credits balance (needs an API key) |
| `assess_property_hazard` | Paid, 200 credits (€0.20) — multi-source US property hazard: USGS seismic risk + FEMA 10-year disaster history + NOAA active weather alerts, charged via credits wallet |
| `assess_property_hazard_x402` | Paid, ~$0.20 via the x402 protocol — same multi-source hazard data, paid directly in USDC on-chain (Base), no GISGP account needed |
These require live infrastructure (ArcGIS/S3, DynamoDB credits wallet, or third-party
APIs) and are not part of the open-source subset below — everything below runs fully
offline.
## Tools (32)
| Tool | Description |
|---|---|
| `convert_coordinates` | Convert coordinate pairs between EPSG coordinate systems |
| `validate_geojson` | Validate GeoJSON: RFC 7946 structure, topology, WGS84 ranges |
| `geojson_to_csv` | Convert a GeoJSON FeatureCollection to CSV |
| `shapefile_to_geojson` | Convert a Shapefile ZIP to GeoJSON |
| `kml_to_geojson` | Convert KML to GeoJSON |
| `gpx_to_geojson` | Convert GPX to GeoJSON |
| `geometry_stats` | Compute area/length/vertex count/centroid/bbox of GeoJSON (equal-area projection) |
| `reproject_geojson` | Reproject an entire GeoJSON between EPSG coordinate systems |
| `simplify_geometry` | Simplify GeoJSON geometry (Douglas–Peucker) |
| `reduce_precision` | Round GeoJSON coordinates to N decimal places (shrinks payload size) |
| `csv_to_geojson` | Convert CSV with auto-detected coordinate columns to GeoJSON |
| `geojson_to_kml` | Convert a GeoJSON FeatureCollection to KML |
| `geojson_to_shapefile` | Convert a GeoJSON FeatureCollection to a Shapefile ZIP |
| `gpx_to_kml` | Convert GPX to KML |
| `kml_to_shapefile` | Convert KML to a Shapefile ZIP |
| `wkt_to_geojson` | Convert a WKT geometry string to GeoJSON (e.g. from PostGIS) |
| `geojson_to_wkt` | Convert a GeoJSON geometry to a WKT string |
| `buffer_geojson` | Buffer every feature by a distance in metres, geodesically accurate at any latitude |
| `dissolve_geojson` | Merge overlapping/adjacent geometries into one, optionally grouped by a property field |
| `centroids_geojson` | Replace each feature's geometry with its centroid Point |
| `convex_hull_geojson` | Smallest convex polygon containing all input features combined |
| `overlay_geojson` | Boolean set operation (intersection/difference/symmetric_difference/union) between two GeoJSON inputs |
| `spatial_join_geojson` | Attach properties from every matching feature in B to each feature in A |
| `nearest_features_geojson` | For each feature in A, find the nearest feature in B by geodesic distance |
| `fix_geometry` | Repair invalid geometries (self-intersections, bad rings) via GEOS make_valid |
| `geojson_diff` | Added/removed/changed features between two GeoJSON FeatureCollections |
| `epsg_suggest` | Suggest the correct UTM EPSG code for a lon/lat pair |
| `tile_math` | Convert lon/lat + zoom to Slippy Map (XYZ) tile x/y, bbox and Bing quadkey |
| `envelope_geojson` | Bounding-box rectangle (envelope) per feature |
| `minimum_rotated_rectangle` | Smallest-area rotated rectangle containing all input features combined |
| `voronoi_geojson` | Voronoi diagram of the input points |
| `geometry_health_report` | One-call health check: validate + auto-repair + stats + envelope, merged |
Docs: https://gisgp.com/api · Homepage: https://gisgp.com
Lo que la gente pregunta sobre gisgp-mcp
¿Qué es uponex/gisgp-mcp?
+
uponex/gisgp-mcp es mcp servers para el ecosistema de Claude AI. GISGP MCP server — free GIS tools for AI agents (docs only) Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala gisgp-mcp?
+
Puedes instalar gisgp-mcp clonando el repositorio (https://github.com/uponex/gisgp-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar uponex/gisgp-mcp?
+
uponex/gisgp-mcp aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene uponex/gisgp-mcp?
+
uponex/gisgp-mcp es mantenido por uponex. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a gisgp-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega gisgp-mcp en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/uponex-gisgp-mcp)<a href="https://claudewave.com/repo/uponex-gisgp-mcp"><img src="https://claudewave.com/api/badge/uponex-gisgp-mcp" alt="Featured on ClaudeWave: uponex/gisgp-mcp" width="320" height="64" /></a>Más MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest path to AI-powered full stack observability, even for lean teams.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!