TOBYCAI/image-mcp
by Various
本地 Pillow 图片处理 MCP：12 工具（信息/缩放/裁剪/转换/压缩/旋转/翻转/缩略图/水印/特效/占位/叠加），离线零成本，经 dsh-mcp-client 接入 DSH。Local Pillow image MCP with 12 tools for DeepSeek Harness, offline & free. | Platforms:
MCP
TOBYCAI/image-mcp
Added 8 Sept 2026
Overview
A local MCP server for image processing built on Pillow. It exposes 12 tools covering common operations like resizing, cropping, conversion, compression, rotation, flipping, thumbnails, watermarks, effects, placeholders, and overlays. Runs offline with no cost, and connects to DeepSeek Harness through dsh-mcp-client.
Best for
Best for
Developers building local image workflows in DeepSeek Harness
Use cases
- Resize and crop images programmatically
- Convert image formats and compress files
- Add watermarks or generate placeholders
How to use
Install
pip install -r requirements.txt # 或 pip install PillowNotes
A local MCP server for image processing built on Pillow. It exposes 12 tools covering common operations like resizing, cropping, conversion, compression, rotation, flipping, thumbnails, watermarks, effects, placeholders, and overlays. Runs offline with no cost, and connects to DeepSeek Harness through dsh-mcp-client.
0 stars on GitHub. Last updated 2026-08-24. Licensed MIT.
Use cases
- Resize and crop images programmatically
- Convert image formats and compress files
- Add watermarks or generate placeholders
Pros
- Offline and free, no API costs
- Covers 12 common image operations in one MCP
- Cross-platform (macOS, Windows, Linux) with Python+Pillow
Cons
- Requires Python and Pillow setup
- Limited to Pillow’s capabilities, no advanced AI features
- Zero stars suggests early stage or low adoption
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Offline and free, no API costs
- Covers 12 common image operations in one MCP
- Cross-platform (macOS, Windows, Linux) with Python+Pillow
Cons
- Requires Python and Pillow setup
- Limited to Pillow's capabilities, no advanced AI features
- Zero stars suggests early stage or low adoption
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