"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.

Enables controlling QGIS to generate thematic maps over a project polygon, automatically styling and clipping layers, creating print layouts, and exporting them as PDF, PNG, JPG, or TIF. It also supports headless operation and map series with one sheet per layer.

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.

Enables MCP clients to control QGIS by executing PyQGIS commands, managing layers and projects, exporting maps, and running Processing algorithms through either a GUI plugin or a headless Python process.

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 Claude to work with QGIS 4.x headlessly by loading vector and raster layers, running Processing algorithms and field calculations, styling layers, and exporting maps or PDF layouts without opening QGIS Desktop.

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

Enables clients to create, query and edit QGIS projects and vector data in an isolated, new headless PyQGIS process, exporting GeoJSON/GeoPackage, saving and reopening editable QGZ bundles, and rendering PNG maps through typed MCP tools. All operations are workspace-relative with strict path and geometry validation, and never attach to or modify a running QGIS desktop session.

Enables any MCP-speaking AI agent to drive QGIS directly by managing layers, editing features, running processing algorithms, rendering maps, and authoring layouts through 125 tools. It bridges agents to a running QGIS instance over a plugin socket connection, supporting QGIS 3.28-4.x and virtually any MCP client.

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

Lets MCP clients inspect and manipulate the project open in the desktop application, including layers, geoprocessing, styles, and map/layout exports, all through tools that run inside the live QGIS session.

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.

Enables users to turn natural-language requests into validated QGIS Processing plans that are executed step-by-step through a QGIS plugin, with safety checks, path confinement, and confirmation gates. It also supports diagnosing GIS errors, resuming blocked runs, and inspecting supported algorithms and past executions.

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.

Local DWG/DXF-to-GIS conversion and QGIS delivery with validation evidence. MCP and agent plugins add 15 verified source-preserving CAD tools through an optional isolated runtime; original code is Apache-2.0.

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.

Connects QGIS to any MCP-speaking AI agent, exposing 125 tools that let the agent manage layers, edit features, run processing algorithms, render and style maps, author layouts and atlases, query across layers with SQL, and administer the QGIS session. Works with any MCP client and QGIS 3.28–4.x.

Glama Dockerfile for YUYU20061107/gis-agent-bridges（合集仓） 使用方式：在 Glama 该 listing 的 Admin -> Dockerfile 页面直接粘贴本文件内容。 构建上下文为仓库根目录。 合集仓含 9 个包、9 个独立的 live/mcp_server.py；Glama 一个 listing 只能 对应一个 Dockerfile / 一个入口。本文件选 supermap 包作为合集的 Glama 入口 （依据见同目录 RESEARCH.md 第四节：旗舰包、唯一实机校准、且该文件与单仓 supermap-gis-bridge 的 live/mcp_server.py 逐字节相同）。 其余 8 个包同为纯标准库、同架构，技术上任选其一都能通过检查。 FROM python:3.12-sli

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.