"Qgis" matching MCP servers:

Enables Claude Desktop to view and interact with the currently open QGIS project, including layers, styling, selections, Processing algorithms, attribute editing, and geocoding, all running locally.

Connect QGIS to Claude AI through the Model Context Protocol (MCP), enabling Claude to directly control QGIS — manage layers, edit features, run processing algorithms, render maps, and more.

Connects QGIS to an LLM through the Model Context Protocol, allowing agentic interaction with and control of QGIS for prompt-assisted project creation, layer loading, code execution, and more.

Enables interaction with QGIS (Quantum GIS) through an MCP plugin and server, allowing natural language commands to control QGIS.

Enables AI agents to interact with QGIS, supporting project management, layer inspection, spatial queries, styling, and map export in both headless and desktop modes.

Connects OpenAI Codex Desktop to QGIS Desktop for natural language GIS operations, including project management, layer manipulation, and algorithm execution.

Connects AI assistants (Claude, Cursor, etc.) to QGIS 4.x via MCP, enabling natural language-driven GIS workflows through 37+ tools, including data loading, processing, and spatial analysis.

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS for project creation, layer loading, code execution, and more.

Deploy QGIS in Docker as an MCP server, enabling AI assistants to perform spatial analysis, data loading, cartography, and multi-format export without local installation.

Enables users to draw GIS geometry on an interactive map and get clean, validated GeoJSON to hand off to other GIS MCP servers such as FEMA flood screening and USGS hydrography.

MCP server that provides AI assistants access to Oklahoma Corporation Commission public GIS datasets, enabling dataset search, layer metadata retrieval, and attribute/spatial queries on ArcGIS Hub data.

Drive Esri's ArcGIS Pro from an AI agent — the ArcGIS Pro counterpart to QGIS MCP. A headless ArcPy CLI plus an in-process .NET 8 add-in that exposes the live Pro session as MCP tools (ping, zoom_to, query, run_gp, export_layout) so an agent drives the running project while you watch.

Lets an AI agent query Yerevan's live municipal GIS data—air quality, cadastral parcels, zoning, construction, and transport—with no API key.

An MCP server that gives LLMs access to geographic data conversion tools, enabling transformations between different formats like WKT, GeoJSON, CSV, TopoJSON, and KML, as well as performing reverse geocoding.

A Model Context Protocol server that connects LLMs to GIS operations, enabling AI assistants to perform accurate geospatial analysis including geometric operations, coordinate transformations, and spatial measurements.

Serves SANDAG/SanGIS regional GIS data from SANDAG's ArcGIS Enterprise portal, enabling natural-language queries for parcels, floodplains, address points, transit, land use, and hundreds of other layers.

A geospatial MCP server that provides tools for geocoding, routing, elevation profiles, and spatial analysis. It enables AI agents to process GIS file formats like GeoJSON and Shapefiles while performing complex coordinate transformations and distance calculations.

Enables querying and spatial analysis of City of San Diego GIS layers (zoning, habitats, land use, etc.) via ArcGIS REST services, with tools for search, metadata, and spatial queries.

Enables querying and searching Lancaster County, Pennsylvania open geospatial datasets (parcels, addresses, zoning, public works) via ArcGIS Feature Services. Supports dataset search, layer query with SQL-like filters, and schema retrieval.

Enables natural language interaction with SANDAG's regional GIS datasets for San Diego County, supporting discovery, querying, and spatial analysis of layers like parcels, floodplains, and transit.