QGIS MCP
by Various
Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop
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
get_qgis_infoload_projectcreate_new_projectget_project_infoadd_vector_layeradd_raster_layerget_layersremove_layer
Tested with
Claude Desktop, Continue
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
Pairs with
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haris-musa/excel-mcp-server
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A Model Context Protocol server for Excel file manipulation
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