Инструменты: GIS / Surveying

QGIS command-line wrapper from HKU's CLI-Anything project: create and edit .qgz projects, add GeoPackage layers and features, build print layouts and export PDF or images, and call QGIS processing algorithms, with JSON results. Needs QGIS desktop and a Python that can import PyQGIS.

MCP server from the opengeos GeoAI project: segment buildings, roads and vegetation in satellite imagery from text prompts, detect vehicles and ships, spot changes between images, estimate canopy height and fetch NAIP, Sentinel-2 and Landsat imagery. Install from the repo (Python 3.10+).

Connects the QGIS desktop GIS to Claude: create and save projects, load vector and raster layers, run Processing toolbox algorithms, export maps and execute PyQGIS code through chat. Needs QGIS 3 and uv; download the repo, copy the plugin into QGIS's plugin folder and start the server.

Helps agents write geospatial SQL for PostGIS, DuckDB, BigQuery and Snowflake: inspect schemas and keep query costs in check, then render results as interactive maps to review and correct. Needs Python and your own database or warehouse; maps use Dekart, which can run locally in Docker.

Google Maps for agents: place search and details, forward and reverse geocoding, routes, distance matrices, multi-stop optimization, weather and static maps, plus trip planning and local SEO ranking skills. Needs Node.js and a billing-enabled Google Maps Platform API key; calls may cost money.

Install the QGIS MCP plugin from the QGIS plugin repository and agents get 125 tools to manage layers, edit features, run processing algorithms, style maps, build layouts and atlases, and run SQL across layers; supports QGIS 3.28 to 4.x. Needs QGIS and uv; no repo download required.

Wraps Shapely, GeoPandas, PyProj, Rasterio, PySAL and other GIS libraries so agents can run geometry and overlay analysis, reproject coordinates, process rasters (e.g. NDVI), do spatial statistics and make maps, and fetch boundaries, land cover and satellite imagery. Needs Python 3.10+ and uv.

Connects to GeoServer's REST API so agents can manage workspaces, data stores, layers and styles, run CQL spatial queries, and access features and render maps via WMS/WFS, for publishing and maintaining map services. Needs a running GeoServer with an admin account, Python 3.10+ and uv.

TomTom's official MCP: geocoding and reverse geocoding, fuzzy and nearby search, single and multi-stop routing, reachable range, live traffic incidents, and static or dynamic maps. Needs a TomTom developer account and API key; use the hosted server (public preview) or run locally via npx.

NASA's official MCP for its Common Metadata Repository: find Earth science and remote sensing datasets in plain language, check that data files exist for a given place and time, and get access services, related tools and citation info. No account to connect; downloads need an Earthdata login.

OpenCage's official MCP: geocode addresses and place names, reverse geocode coordinates (with admin area, time zone and more), and check API quota. For small lookups; use its CLI for batches. Needs an OpenCage API key (free trial), Node.js 20+, and manual setup from a repo clone.

From TUM's Chair of Geoinformatics (a 3DCityDB co-developer): query CityGML 3D city models in 3DCityDB v5 in plain language, covering both spatial and semantic attributes, with read-only SQL. Needs a deployed 3DCityDB database and Python; register it from the folder with your .env config.