plugin · Global

GeoAgent

Plugin for QGIS interaction using LLM. Enables geospatial analysis and data processing through natural language commands.

Claim this listing

Represent GeoAgent? Send a claim for review so we can discuss listing updates. Claims do not automatically grant ownership or verification.

Data offered docs-verified: Natural-language control of QGIS (General and Processing modes) · Layer loading from files or URLs · Layer and column listing · Feature selection by attribute or geometry · QGIS project creation and saving · Any Processing Toolbox algorithm (native, GDAL, GRASS), alone or chained · Export of runs as QGIS models (.model3)
Formats docs-verified: QGIS .model3 model file
Access docs-verified: Free and open-source under the MIT licence. LLM backend is Ollama (local, free) or OpenAI, Google Gemini or Anthropic Claude (API key required).

Use cases llm-inferred: Buffer watercourses, clip a DEM to the buffer and derive slope for a site or FRA-style terrain screen (mirrors the documented quickstart example) · Select drainage or utility assets by attribute or geometry to map site constraints · Save a verified processing chain as a .model3 and re-run it on other catchments or sites
Audience llm-inferred: GIS analysts · Flood consultants · Hydrologists · Drainage engineers · Civils engineers working in QGIS

Constraints llm-inferred: Requires a desktop QGIS installation; it is a QGIS plugin, not a standalone server or MCP endpoint · Dependencies must be installed from the Settings tab (Check / Install Dependencies) before use · OpenAI, Gemini and Anthropic need API keys, which conflicts with the ENTRY note that no credentials are documented · Output quality depends on the chosen LLM and on the data QGIS can load; no data coverage or resolution is defined by the plugin · Combined work is governed by QGIS GPL v2+ and PyQt GPL v3 terms alongside the MIT licence · No version, release status or maintenance information is given in the docs

Geospatial deep dive (Glama/Smithery/GitHub). Tools/install/auth auto-extracted from README.

Metadata observed 15/10/2026 · research sweep: geo-deep-dive (geo-deep-dive:github-search-geo)