Enterprise DNA
M MCP Servers Developer low

QGIS MCP

by Various

Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop

QM

MCP

QGIS MCP

Added 1 June 2026

Overview

QGIS MCP implements the Model Context Protocol to enable LLMs to interact with QGIS Desktop. It acts as a bridge, allowing large language models to execute geospatial operations and manipulate QGIS projects programmatically via standard MCP interfaces.

Best for

Best for
Developers building AI-driven geospatial automation tools or GIS analysts who want to combine LLMs with QGIS

Use cases

  • Automating GIS workflows through natural language commands
  • Integrating QGIS functionality into LLM-powered agent pipelines
  • Querying and visualizing geospatial data using conversational prompts

How to use

Tools exposed

  • ping
  • get_qgis_info
  • load_project
  • create_new_project
  • get_project_info
  • add_vector_layer
  • add_raster_layer
  • get_layers
  • remove_layer
  • zoom_to_layer
  • get_layer_features
  • execute_processing
  • save_project
  • render_map
  • execute_code

Tested with

Claude Desktop

Example client config

{\n    "mcpServers": {\n        "qgis": {\n            "command": "uv",\n            "args": [\n                "--directory",\n                "/ABSOLUTE/PATH/TO/PARENT/REPO/FOLDER/qgis_mcp/src/qgis_mcp",\n                "run",\n                "qgis_mcp_server.py"\n            ]\n        }\n    }\n}

Notes

QGIS MCP implements the Model Context Protocol to enable LLMs to interact with QGIS Desktop. It acts as a bridge, allowing large language models to execute geospatial operations and manipulate QGIS projects programmatically via standard MCP interfaces.

965 stars on GitHub. Last updated 2025-10-01.

Use cases

  • Automating GIS workflows through natural language commands
  • Integrating QGIS functionality into LLM-powered agent pipelines
  • Querying and visualizing geospatial data using conversational prompts

Pros

  • Well-starred open source project with active community support
  • Enables rapid geospatial analysis without manual QGIS UI interaction
  • Leverages Python for extensibility and custom integration

Cons

  • Requires a running QGIS Desktop instance and LLM connectivity
  • Setup and configuration can be complex for non-developers
  • Limited to operations exposed by the MCP server, not full QGIS API

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Well-starred open source project with active community support
  • Enables rapid geospatial analysis without manual QGIS UI interaction
  • Leverages Python for extensibility and custom integration

Cons

  • Requires a running QGIS Desktop instance and LLM connectivity
  • Setup and configuration can be complex for non-developers
  • Limited to operations exposed by the MCP server, not full QGIS API
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

Running a business, not writing the code? See the MCP servers picked for operators, and get your first one wired up with us.

Operator picks