Enables AI assistants to analyze RenderDoc GPU frame captures for graphics debugging and performance analysis through a headless Python API. It provides a comprehensive suite of tools for inspecting pipeline states, shader bindings, and exporting frame resources like textures and meshes.
Enables AI assistants to analyze and inspect RenderDoc capture files, providing tools to examine draw calls, textures, buffers, and shader information. It allows developers to perform graphics debugging and resource analysis through natural language interactions.
Exposes RenderDoc capture analysis to AI clients via MCP, enabling offline analysis of .rdc files (action tree, pipeline state, textures, shaders) and GUI state interaction on Windows.
MCP server for RenderDoc that lets AI assistants analyze GPU frame captures, inspect draw calls, shaders, and render passes for graphics debugging and performance analysis.
Enables automated graphics capture and replay with RenderDoc, allowing agents to launch executables, inspect captures, and export thumbnails or timeline JSON for regression triage.