gimp-mcp
Control GIMP from AI assistants via the Model Context Protocol, enabling image editing automation through natural language commands.
README
GIMP MCP Server
Control GIMP from Claude Desktop, Codex, Cursor, and other Model Context Protocol clients. This project provides a local MCP server and a GIMP 3.x Python plug-in that expose GIMP automation through a secure Unix socket, including Procedure Database discovery, image export, canvas snapshots, context inspection, and batch operations.
Keywords: GIMP MCP, GIMP Model Context Protocol, Claude GIMP, Codex GIMP, AI image editing, GIMP automation, GIMP Python plug-in, GIMP PDB, MCP server.
Why This Exists
GIMP has a powerful Python and Procedure Database API, but it is not easy for AI assistants to use directly. GIMP MCP bridges that gap:
- Ask an AI assistant to inspect or edit images in GIMP.
- Search and call GIMP PDB procedures from MCP tools.
- Capture the current canvas as MCP image content for visual verification.
- Run repeatable image workflows without clicking through the GIMP UI.
- Keep automation local by default with a user-owned Unix socket.
The normal MCP path auto-starts a private headless GIMP bridge, so users do not
need to open GIMP or click Filters > Development.
Features
- GIMP 3.x automation through MCP
- PDB search, describe, and call for broad GIMP feature coverage
- MCP image capture with optional crop and max-size scaling
- Open image and layer inspection
- First-class layer tools for listing and updating layer properties
- Friendly drawing tools for rectangles, ellipses, text, and polylines
- Foreground/background, brush, font, opacity, antialias, and feather state
- File open/export helpers for PNG, JPEG, WebP, TIFF, GIF, BMP, and XCF
- Batch bridge operations
- Headless auto-start for production-style automation
- Manual visible-GIMP bridge for debugging interactive sessions
- macOS-friendly installer for
/Applications/GIMP.app
Requirements
- GIMP 3.x installed locally
- Python 3.11+
- An MCP-compatible client such as Codex, Claude Desktop, Cursor, or another stdio MCP client
This repo defaults to macOS and /Applications/GIMP.app. The bridge itself is
Python/GIMP based and can be adapted for Linux by installing the plug-in into
the relevant GIMP profile directory.
Quick Start
git clone https://github.com/abelduarte/gimp-mcp.git
cd gimp-mcp
python3 -m venv .venv
. .venv/bin/activate
python -m pip install -e .
./scripts/install_bridge.sh
./scripts/smoke_test.sh
If GIMP is not installed at /Applications/GIMP.app:
GIMP_APP=/path/to/GIMP.app ./scripts/install_bridge.sh
GIMP_APP=/path/to/GIMP.app ./scripts/smoke_test.sh
MCP Client Configuration
Use the wrapper script as your MCP server command:
/absolute/path/to/gimp-mcp/scripts/run_mcp_server.sh
The wrapper starts the stdio MCP server and automatically launches a private headless GIMP bridge if one is not already running.
Codex
Add this to your Codex MCP config:
[mcp_servers.gimp]
command = "/absolute/path/to/gimp-mcp/scripts/run_mcp_server.sh"
Claude Desktop
Add this to your Claude Desktop config:
{
"mcpServers": {
"gimp": {
"command": "/absolute/path/to/gimp-mcp/scripts/run_mcp_server.sh"
}
}
}
Project-local MCP discovery
The repository includes .mcp.json for clients that support project-local MCP
server discovery.
How It Works
There are two pieces:
gimp_mcp.server: the stdio MCP server used by the AI client.bridge/gimp_mcp_bridge.py: a GIMP Python plug-in that runs inside GIMP and exposes a JSON bridge over a local Unix socket.
Default socket:
/tmp/gimp-mcp-$USER.sock
The socket is created with 0600 permissions. Anyone who can connect to it can
drive the GIMP process, so do not expose it to untrusted users.
Available Tools
gimp.status: check bridge healthgimp.get_info: inspect GIMP version, directories, session, platform, and PDBgimp.get_context_state: inspect colors, brush, opacity, font, antialias, and feathergimp.get_image_bitmap: return a GIMP image as MCP image contentgimp.list_images: list open images and layer treesgimp.get_image: inspect one image by IDgimp.list_layers: list layers for one imagegimp.set_layer_properties: rename layers or update visibility, opacity, and blend modegimp.procedure.search: search GIMP's Procedure Databasegimp.procedure.describe: inspect procedure arguments and return valuesgimp.procedure.call: call a GIMP PDB proceduregimp.open: open an image filegimp.export: export an image filegimp.fill_rect: fill a rectangle on a drawablegimp.fill_ellipse: fill an ellipse on a drawablegimp.add_text: create a text layergimp.draw_polyline: draw deterministic pixel polylinesgimp.batch: run bridge operations in sequence
Example PDB Call
Search before calling:
{
"query": "image-resize",
"limit": 10
}
Then call the procedure with exact PDB argument names:
{
"name": "gimp-image-resize",
"args": {
"image": { "id": 1, "type": "image" },
"new-width": 1920,
"new-height": 1080,
"offx": 0,
"offy": 0
}
}
Visual Verification
Use gimp.get_image_bitmap to let the AI client see the current GIMP image:
{
"image_id": 1,
"max_width": 1024,
"max_height": 1024
}
Crop a region for faster iteration:
{
"image_id": 1,
"region": {
"origin_x": 100,
"origin_y": 100,
"width": 400,
"height": 300
},
"max_width": 800,
"max_height": 600
}
Manual Visible-GIMP Mode
For normal automation, use scripts/run_mcp_server.sh. It auto-starts a
headless bridge.
For debugging against the visible GIMP app:
- Open GIMP.
- Run
Filters > Development > Start MCP Bridge. - Start your MCP client with the same
GIMP_MCP_SOCKET.
This manual menu is a debug fallback, not the recommended production path.
Development
Run the smoke test:
./scripts/smoke_test.sh
Run full local diagnostics:
./scripts/doctor.sh
Compile-check the Python files:
python3 -m py_compile src/gimp_mcp/server.py bridge/gimp_mcp_bridge.py
Install the bridge after editing it:
./scripts/install_bridge.sh
Examples
Generated examples are in examples/generated/, including:
horse-from-gimp-mcp.pngbar-chart-from-gimp-mcp.pngshapes-text-demo.png
Security
GIMP MCP is a local automation bridge. Treat access to the Unix socket as access to the running GIMP process.
- Do not expose the socket to untrusted users.
- Do not run the bridge as root.
- Prefer the default Unix socket transport over TCP.
- Review
SECURITY.mdbefore enabling any future raw Python execution feature.
License
MIT. See LICENSE.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。