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jjsantos01/qgis_mcp

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

本周新增
45 星
近 3 周倍数
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距上次推送
403 天
距上次发布
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许可证

星标增长

每根柱子是这个周期记录下来的 star 增长:优先取逐个 stargazer 到达时间分桶的到达数,还没被 stargazer 扫描覆盖的仓库改用该周期的 star 净增;两个写者都没记录的周期画成虚线空档,而不是当成 0。柱高按各自窗口的峰值归一,两张图不共用坐标轴。指向任意一根柱子, tooltip 里是该周期的九项指标:当前值与周期内的净增。

指向或点击一根柱子,看当天的九项指标。

12/1712/301/111/242/62/193/33/16

2025 年 12 月 18 日 新增 0 个星标; 2025 年 12 月 21 日 新增 3 个星标; 2025 年 12 月 24 日 新增 2 个星标; 2025 年 12 月 25 日 新增 1 个星标; 2026 年 1 月 2 日 新增 16 个星标; 2026 年 1 月 4 日 新增 1 个星标; 2026 年 1 月 5 日 新增 0 个星标; 2026 年 1 月 6 日 新增 1 个星标; 2026 年 1 月 8 日 新增 2 个星标; 2026 年 1 月 9 日 新增 2 个星标; 2026 年 1 月 12 日 新增 4 个星标; 2026 年 1 月 13 日 新增 3 个星标; 2026 年 1 月 14 日 新增 2 个星标; 2026 年 1 月 15 日 新增 0 个星标; 2026 年 1 月 18 日 新增 2 个星标; 2026 年 1 月 25 日 新增 4 个星标; 2026 年 1 月 26 日 新增 1 个星标; 2026 年 1 月 29 日 新增 1 个星标; 2026 年 2 月 1 日 新增 0 个星标; 2026 年 2 月 2 日 新增 4 个星标; 2026 年 2 月 8 日 新增 8 个星标; 2026 年 2 月 9 日 新增 0 个星标; 2026 年 2 月 10 日 新增 1 个星标; 2026 年 2 月 11 日 新增 1 个星标; 2026 年 2 月 13 日 新增 0 个星标; 2026 年 2 月 14 日 新增 0 个星标; 2026 年 2 月 16 日 新增 0 个星标; 2026 年 2 月 17 日 新增 0 个星标; 2026 年 2 月 21 日 新增 9 个星标; 2026 年 3 月 16 日 新增 45 个星标

窗口内最高的一天是 2026 年 3 月 16 日,新增 45 个星标。

证据时间轴

这个项目还没有记录到异动、发布或许可证变化。

README
The document stored for this repository, with its Chinese translation when one has been produced

QGISMCP - QGIS Model Context Protocol Integration

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS. This integration enables prompt assisted project creation, layer loading, code execution and more.

This project is strongly based on the BlenderMCP project by Siddharth Ahuja

Features

  • Two-way communication: Connect Claude AI to QGIS through a socket-based server.
  • Project manipulation: Create, load and save projects in QGIS.
  • Layer manipulation: Add and remove vector or raster layers to a project.
  • Execute processing: Execute processing algorithms (Processing Toolbox).
  • Code execution: Run arbitrary Python code in QGIS from Claude. Very powerful, but also be very cautious using this tool.

Components

The system consists of two main components:

  1. QGIS plugin: A QGIS plugin that creates a socket server within QGIS to receive and execute commands.
  2. MCP Server: A Python server that implements the Model Context Protocol and connects to the QGIS plugin.

Installation

Prerequisites

  • QGIS 3.X (only tested on 3.22)
  • Cloud desktop
  • Python 3.10 or newer
  • uv package manager:

If you're on Mac, please install uv as

brew install uv

On Windows Powershell

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Otherwise installation instructions are on their website: Install uv

⚠️ Do not proceed before installing UV

Download code

Download this repo to your computer. You can clone it with:

git clone git@github.com:jjsantos01/qgis_mcp.git

QGIS plugin

You need to copy the folder qgis_mcp_plugin and its content on your QGIS profile plugins folder.

You can get your profile folder in QGIS going to menu Settings -> User profiles -> Open active profile folder Then, go to Python/plugins and paste the folder qgis_mcp_plugin.

On a Windows machine the plugins folder is usually located at: C:\Users\USER\AppData\Roaming\QGIS\QGIS3\profiles\default\python\plugins and on MacOS: ~/Library/Application\ Support/QGIS/QGIS3/profiles/default/python/plugins

Then close QGIS and open it again. Go to the menu option Plugins -> Installing and Managing Plugins, select the All tab and search for "QGIS MCP", then mark the QGIS MCP checkbox.

Claude for Desktop Integration

Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:

If you cann't find the "Developers tab" or the claude_desktop_config.json look at this documentation.

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

    }
}

Usage

Starting the Connection

  1. In QGIS, go to plugins -> QGIS MCP-> QGIS MCP plugins menu
  2. Click "Start Server" start server

Using with Claude

Once the config file has been set on Claude, and the server is running on QGIS, you will see a hammer icon with tools for the QGIS MCP.

Claude tools

Tools

  • ping - Simple ping command to check server connectivity
  • get_qgis_info - Get QGIS information about the current installation
  • load_project - Load a QGIS project from the specified path
  • create_new_project - Create a new project and save it
  • get_project_info - Get current project information
  • add_vector_layer - Add a vector layer to the project
  • add_raster_layer - Add a raster layer to the project
  • get_layers - Retrieve all layers in the current project
  • remove_layer - Remove a layer from the project by its ID
  • zoom_to_layer - Zoom to the extent of a specified layer
  • get_layer_features - Retrieve features from a vector layer with an optional limit
  • execute_processing - Execute a processing algorithm with the given parameters
  • save_project - Save the current project to the given path
  • render_map - Render the current map view to an image file
  • execute_code - Execute arbitrary PyQGIS code provided as a string

Example Commands

This is the example I used for the demo:

You have access to the tools to work with QGIS. You will do the following:
	1. Ping to check the connection. If it works, continue with the following steps.
	2. Create a new project and save it at: "C:/Users/USER/GitHub/qgis_mcp/data/cdmx.qgz"
	3. Load the vector layer: ""C:/Users/USER/GitHub/qgis_mcp/data/cdmx/mgpc_2019.shp" and name it "Colonias".
	4. Load the raster layer: "C:/Users/USER/GitHub/qgis_mcp/data/09014.tif" and name it "BJ"
	5. Zoom to the "BJ" layer.
	6. Execute the centroid algorithm on the "Colonias" layer. Skip the geometry check. Save the output to "colonias_centroids.geojson".
	7. Execute code to create a choropleth map using the "POB2010" field in the "Colonias" layer. Use the quantile classification method with 5 classes and the Spectral color ramp.
	8. Render the map to "C:/Users/USER/GitHub/qgis_mcp/data/cdmx.png"
	9. Save the project.

页面上的每个数字都来自记录下来的 stargazer 到达时间,没有评分公式,也没有 AI 判定。 任何结论都可以用 /api/v1/repos/{id}/stats 里的原始增量自己重算。