GIMP MCP

Demo

Full demo (with audio): https://github.com/maorcc/gimp-mcp/raw/main/docs/demo.mp4

AI agent using GIMP MCP to remove a background, edit a character's expression, and verify results — all through natural language via Claude

Overview

GIMP MCP bridges GIMP's professional image editing capabilities with AI assistants through the Model Context Protocol. It lets you edit images by describing what you want — and gives the AI a live visual feedback channel to verify each change before moving on.

What makes it different from other GIMP integrations:

• The AI can see the image at any point in the workflow without saving to disk (get_state_snapshot)
• Supports fully autonomous multi-step pipelines: open → edit → verify → refine → export
• 56 dedicated tool commands covering every major GIMP operation
• Fully compatible with GIMP 3.2.x (all breaking API changes resolved)

Key Features

What Can It Do?

Background Removal with Iterative Verification

The AI removes the background, takes a snapshot to inspect the result, detects remaining pixels, and loops until the image is clean:

"Remove the background from this image and keep looping until only the character remains"

Expression Editing

"Make the character smile — paint a smile arc with teeth over her mouth"

Complex Multi-Step Pipelines

"Open navi_portrait.png, remove the background, verify it's clean,
 then make her smile and export the final result as a PNG"

Color & Tone Work

"Boost the contrast, shift the hue 15 degrees warmer, then show me a before/after zoom of the face"

Text & Compositing

"Add a bold title at the top in white with a subtle drop shadow, then export for web"

Prerequisites

• GIMP 3.2+ — tested on GIMP 3.2.2 (Windows, macOS, Linux)
• Python 3.8+ — for the MCP server
• uv — Python package manager (pip install uv)
• MCP-compatible AI client — Claude Desktop, Claude Code, Gemini CLI, PydanticAI, etc.

Quick Start

1. Install Dependencies

git clone https://github.com/maorcc/gimp-mcp.git
cd gimp-mcp
uv sync

2. Install the GIMP Plugin

Copy gimp-mcp-plugin.py to GIMP's plug-ins directory and restart GIMP.

Which directory? GIMP names its per-user folder after its major.minor version (3.0, 3.2, 3.4, …) and creates a fresh one on each minor upgrade, so the folder moves when you upgrade GIMP (e.g. 3.0 → 3.2). The snippet below auto-selects the newest one, so it keeps working across upgrades. To check the path manually, open GIMP and look at Edit → Preferences → Folders → Plug-ins.

Launch GIMP at least once before running this, so its config folder exists.

macOS / Linux:

# Pick the base directory for your platform:
BASE="$HOME/Library/Application Support/GIMP"     # macOS
# BASE="$HOME/.config/GIMP"                        # Linux (standard)
# BASE="$HOME/snap/gimp/current/.config/GIMP"      # Linux (Snap)

# Auto-select the newest GIMP 3.x config directory (3.0, 3.2, 3.4, ...):
GIMP_DIR="$(ls -d "$BASE"/3.* 2>/dev/null | sort -V | tail -1)"
if [ -z "$GIMP_DIR" ]; then
  echo "No GIMP 3.x config dir found under $BASE — launch GIMP once, then re-run." >&2
  exit 1
fi
mkdir -p "$GIMP_DIR/plug-ins/gimp-mcp-plugin"
cp gimp-mcp-plugin.py "$GIMP_DIR/plug-ins/gimp-mcp-plugin/"
chmod +x "$GIMP_DIR/plug-ins/gimp-mcp-plugin/gimp-mcp-plugin.py"
echo "Installed into: $GIMP_DIR/plug-ins/gimp-mcp-plugin"

Windows:

%APPDATA%\GIMP\<VERSION>\plug-ins\gimp-mcp-plugin\gimp-mcp-plugin.py

Replace <VERSION> with your GIMP major.minor (e.g. 3.2). No chmod needed on Windows. Just copy and restart GIMP.

For all platforms: GIMP Plugin Installation Guide

3. Start the MCP Server in GIMP

1. Open any image in GIMP
2. Go to Tools > MCP > Start MCP Server
3. Server starts on localhost:9877

4. Configure Your MCP Client

Claude Desktop

~/.config/Claude/claude_desktop_config.json (Linux/macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "gimp": {
      "command": "uv",
      "args": ["run", "--directory", "/full/path/to/gimp-mcp", "gimp_mcp_server.py"]
    }
  }
}

Claude Code

cd /path/to/gimp-mcp
claude  # .mcp.json is auto-detected

Or manually:

claude mcp add gimp-mcp -- uv run --directory /full/path/to/gimp-mcp gimp_mcp_server.py

Gemini CLI

~/.config/gemini/.gemini_config.json:

{
  "mcpServers": {
    "gimp": {
      "command": "uv",
      "args": ["run", "--directory", "/full/path/to/gimp-mcp", "gimp_mcp_server.py"]
    }
  }
}

PydanticAI

from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStdio

server = MCPServerStdio('uv', args=['run', '--directory', '/path/to/gimp-mcp', 'gimp_mcp_server.py'])
agent = Agent('openai:gpt-4o', mcp_servers=[server])

Available MCP Tools

👁️ Visual Feedback

get_state_snapshot(image_index, max_size, region, label)

Returns a live PNG of the current image state — the AI's primary feedback mechanism. Call this between any edits to verify the result without saving to disk.

# Full image snapshot
snapshot = get_state_snapshot(max_size=512)

# Zoom into a face region for detail inspection
snapshot = get_state_snapshot(
    region={"x": 140, "y": 80, "width": 240, "height": 300},
    max_size=512,
    label="face-check"
)

This enables iterative agentic workflows: edit → snapshot → assess → refine → repeat.

get_image_bitmap(image_index, max_width, max_height, region)

Lower-level bitmap fetch with region extraction and scaling. Returns base64-encoded PNG.

🎨 Adjustments

🔄 Transforms

✂️ Selections

🗂️ Layers

🖌️ Drawing & Fill

🔤 Text

✨ Filters & Effects

📁 File Operations