Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sparkgeo/geo-mcp-servers --skill skillgit clone --depth 1 https://github.com/sparkgeo/geo-mcp-serversWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sparkgeo/geo-mcp-servers/skill)<a href="https://agentmods.dev/skills/sparkgeo/geo-mcp-servers/skill"><img src="https://agentmods.dev/badge/skills/sparkgeo/geo-mcp-servers/skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sparkgeo/geo-mcp-servers/skill"><img src="https://agentmods.dev/badge/skills/sparkgeo/geo-mcp-servers/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 78 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.01836 |
| Opus 5.5 | $0.00034 | $0.00734 |
| Sonnet 5.5 | $0.00017 | $0.00367 |
| Haiku 4.5 | $0.00008 | $0.00184 |
Grade A, and why
geo-mcp-servers scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geospatial MCP Servers
This skill wraps a curated, version-controlled catalog of MCP servers for
geospatial work. servers.yaml is the source of truth; README.md is generated
from it; health.json caches per-entry health; and servers.schema.json
(enforced by CI in .github/workflows/verify.yml) defines the entry shape.
Locate the catalog
The skill is installed at ~/.claude/skills/geo-mcp-servers, a symlink into the
cloned repo's skill/ directory. Resolve the repo root from it — never assume an
absolute path:
REPO="$(cd "$(dirname "$(readlink ~/.claude/skills/geo-mcp-servers)")" && pwd -P)"
echo "$REPO" # repo root — parent of the skill dir
If readlink returns nothing (the skill was copied, not symlinked), ask where
they cloned geo-mcp-servers or search:
find ~ -name servers.yaml -path '*geo-mcp-servers*' 2>/dev/null. Use the
resolved $REPO in every command below.
Find / recommend a server
- Read the data:
cat "$REPO/servers.yaml". - Match the need to a
categoryand to entrytags/description. Categories:geocoding,routing,mapping,database(PostGIS/DuckDB),remote_sensing(STAC/EO),weather,desktop_gis(QGIS/ArcGIS),toolkit,data_access,property(parcels, ownership, real estate),tracking(aviation/maritime — ADS-B/AIS),other. - Each entry also carries
access(🟩 open / 🟨 free / 🟦 commercial / 🟥 paywalled) and a generated health status (🟢 active / 🟡 stale / ⚪ hosted / ⏳ pending / 🔴 archived|dead) — use these when recommending (e.g. prefer active + open/free unless the user wants a specific vendor). - Filter on
deployment(where the server runs). If you do not know how the user will connect, ask whether they use a desktop client (Claude Desktop, Claude Code, an IDE) or a web client (claude.ai, ChatGPT).- Web client: only
hostedandlocal+hostedservers work. For alocal+hostedserver, give the public endpoint from itsnoteand say who runs it, because queries go to that operator. - Desktop client: any value works. Prefer
localwhen the user's data must stay on their machine. self-hostedmeans the user must deploy an HTTP service;addinruns inside a desktop app;unknownmeans the README does not say, so tell the user to check before relying on it.
- Web client: only
- Recommend the closest 1–3 with URLs, their deployment, and a one-line why. If nothing fits, say so rather than inventing a server.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago Changed · +15 lines 3cd800d13a24
- 11d ago Changed 4aaa38674e77
- 14d ago Changed · +25 lines 22626c2b5033
- 1mo ago First seen · 86 lines · 84 tokens per session scan A 0a4011ea47c3
geo-mcp-servers is a skill published in the GitHub repository sparkgeo/geo-mcp-servers (241 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 1,836 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
arcgis-to-portaljs
Migrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. Harvests the Hub /data.json (DCAT-US) inventory, exports every FeatureService layer through the ArcGIS REST query API with resultOffset paging, converts each to the serverless dual tier (PMTiles render + GeoParquet query) with tabular items to…
portaljs-add-geo
Auto-ingest a geospatial file (GeoJSON, Shapefile, GeoPackage, KML/KMZ, FlatGeobuf, CSV-with-geometry) into a PortalJS portal on the user's own machine, with no server. Normalizes CRS to EPSG:4326, derives a PMTiles render tier and a GeoParquet query tier, pushes all three artifacts to Cloudflare R2 via Git LFS, and…
opengis-skills
Use when AI coding assistant needs GIS/CAD/C#/AI/IoT/3D domain expertise. Index of 96 skills across 8 categories: gis (32), cad (21), csharp (9), ai (14), iot (2), 3d (6), demos (4), others (8). Tag-based search and on-demand loading for GDAL, GeoServer, MapServer, Leaflet, PROJ, PostGIS, JTS, CesiumJS, FreeCAD…
deck-gl
Use when visualizing large geospatial datasets in the browser with deck.gl 9.4.0 — ScatterplotLayer/GeoJsonLayer, HexagonLayer/ScreenGridLayer aggregation, MVTLayer/TileLayer, @deck.gl/mapbox MapboxOverlay over MapLibre, or debugging blank canvases, stale data props and mismatched @deck.gl/ subpackage versions.
gdal-api
Use when programming against GDAL/OGR in C, C++, Python, Java, or .NET — raster/vector I/O, gdal.UseExceptions, OGRSpatialReference transforms, gdal.Translate / gdal.Warp, VRT/COG, or fixing "no driver registered" and UnsatisfiedLinkError; C++ gdal-config, Maven org.gdal:gdal 3.13.0, NuGet MaxRev.Gdal.Core.
gdal
Use when processing geospatial raster/vector data via GDAL/OGR CLI — ogr2ogr format conversion (Shapefile/GeoPackage/GeoJSON), gdalwarp reprojection, gdaltranslate, gdalcalc.py NDVI, COG, mosaicking, DEM contours, gdalinfo -json checks — or diagnosing "not recognized as a supported file format"; also covers the 3.9+…