OpenImageDebugger MCP server

Open Image Debugger: Enabling visualization of in-memory buffers on GDB/LLDB

Open Image Debugger is a tool for visualizing in-memory buffers during debug sessions, compatible with both GDB and LLDB. It works out of the box with instances of the OpenCV Mat class and Eigen matrices, but can also be customized to work with any arbitrary data structure.

Prefer VS Code or a fork (Cursor, VSCodium, Windsurf, …)? Skip the manual

build — install the extension from the

VS Code Marketplace

or Open VSX.

See Installation below.

New — using CLion or Android Studio? The Open Image Debugger plugin is

now on the

JetBrains Marketplace:

plot buffers straight from the native C/C++ debugger, inside the IDE. See

Installation below.

New — declarative custom types. You can now describe your own buffer types

in a .oid/types.json file instead of writing Python; the same file works in

gdb, lldb, and the VS Code and JetBrains extensions. See

doc/declarative-types.md.

Download (experimental)

A bit experimental, better to compile manually

Features

updated.

• GUI interactivity:
• Scroll to zoom, left click+drag to move the buffer around;
• Rotate buffers 90° clockwise or counterclockwise;
• Go-to widget that quickly takes you to any arbitrary pixel location;
• Buffer values: Zoom in close enough to inspect the numerical contents of any pixel.
• Auto update: Whenever a breakpoint is hit, the buffer view is automatically

automatically mapped to the visualization range [0, 1], where 0 represents black and 1 represents white.

• Auto contrast: The entire range of values present in the buffer can be

buffers with extreme values (e.g. infinity, nan and other outliers).

• The contrast range can be manually adjusted, which is useful for inspecting

single buffer is moved on the screen

• Link views together, moving all watched buffers simultaneously when any

float and double

• Supported buffer types: uint8t, int16t, uint16t, int32t, uint32_t,

and RGBA)

• Supported buffer channels: Up to four channels (Grayscale, two-channels, RGB

files (unprocessed).

• GPU accelerated
• Supports large buffers whose dimensions exceed GLMAXTEXTURE_SIZE.
• Supports data structures that map to a ROI of a larger buffer.
• Exports buffers as png images (with auto contrast) or octave/matlab matrix

• Auto-load buffers being visualized in the previous debug session
• Designed to scale well for HighDPI displays
• Works on Linux, macOS X and Windows (experimental)

Supported OSes

Shortened. The full README is on GitHub.