OpenImageDebugger
An advanced in-memory image visualization plugin for GDB and LLDB on Linux, with experimental support for MacOS and Windows. Previously known as gdb-imagewatch. Also available as an extension for VSCode and forks
- 250 stars
- 51 forks
- 24 open issues
- Language: C++
- License: MIT
- updated
Install
git clone https://github.com/OpenImageDebugger/OpenImageDebugger- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Clone https://github.com/OpenImageDebugger/OpenImageDebugger and follow its README for install instructions.
MCP Servers overview
What people ask about OpenImageDebugger
What is OpenImageDebugger/OpenImageDebugger?
OpenImageDebugger/OpenImageDebugger is mcp servers for the Claude AI ecosystem. An advanced in-memory image visualization plugin for GDB and LLDB on Linux, with experimental support for MacOS and Windows. Previously known as gdb-imagewatch. Also available as an extension for VSCode and forks It has 250 GitHub stars and its last recorded update is dated 2026-10-23.
How do I install OpenImageDebugger?
You can install OpenImageDebugger by cloning the repository (https://github.com/OpenImageDebugger/OpenImageDebugger) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is OpenImageDebugger/OpenImageDebugger safe to use?
Our security agent has analyzed OpenImageDebugger/OpenImageDebugger and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains OpenImageDebugger/OpenImageDebugger?
OpenImageDebugger/OpenImageDebugger is maintained by OpenImageDebugger. The last recorded GitHub activity is dated 2026-10-23, with 24 open issues.
Are there alternatives to OpenImageDebugger?
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.