"Qgis" matching MCP servers:

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 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.

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.

An MCP server that enables AI assistants to directly control QGIS for tasks like layer management, feature editing, and map rendering. It provides a suite of 50 tools to execute processing algorithms and manage GIS projects through natural language commands.

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 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.

Connects Claude AI to QGIS through the Model Context Protocol, allowing Claude to directly interact with and control QGIS for tasks like project creation, layer manipulation, and code execution.

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 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.

Enables AI clients to inspect and control a live QGIS instance to verify plugin behavior, including observing UI state, triggering actions, running algorithms, and executing session-permitted code.

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.

Local MCP server enabling Codex to inspect and edit HWPX documents, Excel spreadsheets, and QGIS QGS/QGZ projects on Windows with safety and fidelity.

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.

A Model Context Protocol server that connects Claude AI to QGIS, enabling direct interaction with the GIS software for project creation, layer manipulation, code execution, and processing algorithms through natural language prompts.

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.

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.

Exposes remote Blender and QGIS MCP servers locally over SSH tunnels, with graceful degradation when backends are unreachable.

Connects QGIS to Claude AI through the Model Context Protocol, enabling AI-assisted project creation, layer manipulation, processing algorithm execution, and Python code running within QGIS.

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.

Enables AI agents and hackathon teams to query Glendale, California hazard zones and city GIS data by address or coordinates, including nearby resources and dataset metadata for emergency-preparedness applications.

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.

Enables AI assistants to interact with 3DCityDB v5 through natural language, dynamically resolving object classes, properties, and codelists to answer spatial questions and execute SQL queries on CityGML data.