"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.

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.

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.

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

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 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.

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.

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.

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.

Enables AI clients to search and read Russian construction norms, collections, technical sections, and coefficient application conditions from public FGIS CS data, as well as assemble local datasets with original sources and metadata.

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.