RenderDoc MCP
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In the chat, type
@followed by the MCP server name and your instructions, e.g., "@RenderDoc MCPOpen capture.rdc and list all actions."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
RenderDoc MCP
A Model Context Protocol server that exposes RenderDoc capture analysis to AI clients (CodeMaker, Claude Desktop, etc.).
Clone 即用:RenderDoc 1.43 二进制已 vendored 进仓库,无需任何外部依赖。
工具一览(14 个)
离线分析(不需要 RenderDoc GUI 开着)
工具 | 功能 |
| 打开 .rdc 文件 |
| 关闭当前 capture |
| API 类型、vendor、action 数 |
| 遍历 action 树 |
| 单个 action 详情 |
| 拿到指定 eid 的全套绑定(VS/HS/DS/GS/PS/CS、SRV/UAV、采样器、RT/Depth) |
| 整帧 render pass 总览,可选返回 Mermaid 流程图( |
| 列 texture / buffer / shader |
| 单个资源详情 |
| 导出贴图为 png/jpg/bmp/tga |
| shader 反汇编(DXBC/DXIL/SPIR-V,支持选 ISA target)+ reflection |
GUI 联动(需要 RenderDoc GUI 开着 + 加载 .rdc)
工具 | 速度 | 功能 |
| ~590ms | 全部 GUI 状态(选中 eid + 像素 + RT 信息等) |
| ~480ms | 只读用户当前选中的 eid |
| ~210ms | 只读 hover / right-click 的 pixel + UV + 颜色 |
GUI 联动通过 Windows UI Automation 读 RenderDoc 主窗口; 不能 读 Texture Viewer 渲染区里的任意像素,只能读 RenderDoc 自己显示出来的内容。
Related MCP server: renderdoc-mcp
关键约束
项 | 值 |
Python | 必须 3.11.x 64-bit( |
OS | Windows( |
Session | 单 capture 单例(open 新自动关旧) |
MCP 传输 | stdio(stdout 归 JSON-RPC,所有日志走 stderr) |
快速上手
:: 1. 创建 Python 3.11 venv
py -3.11 -m venv .venv
.venv\Scripts\activate
:: 2. 安装
pip install -e .
:: 3. 环境自检
python scripts\check_env.py
:: 4. 启动 MCP server(stdio 模式)
python -m renderdoc_mcp.server
:: 或装好后直接:
renderdoc-mcp冒烟测试(需要 .rdc 文件):
:: Phase 1:会话 + action 树
python scripts\smoke_phase1.py "path\to\your.rdc"
:: Phase 2:资源 / 贴图导出 / shader 反汇编 / pipeline state
python scripts\smoke_phase2.py "path\to\your.rdc"
:: Phase 4.1:summarize_render_passes(默认 medium 采样 + flat Mermaid)
python scripts\smoke_phase4_1.py "path\to\your.rdc"
:: 也可以指定采样档位 + Mermaid 分组:
python scripts\smoke_phase4_1.py "path\to\your.rdc" medium subgraph
:: 纯 Python 校验 Mermaid subgraph 渲染(无 RenderDoc 依赖,离线跑)
python scripts\check_subgraph.pyCodeMaker / Claude Desktop 集成
在 mcp_settings.json 中加入:
{
"mcpServers": {
"renderdoc": {
"command": "<repo-root>\\.venv\\Scripts\\renderdoc-mcp.exe"
}
}
}二进制已 vendored,不需要 设置
RENDERDOC_RELEASE_DIR。 仅当想覆盖到本地新编译的 RenderDoc 时,可在env节点加"RENDERDOC_RELEASE_DIR": "...\\x64\\Release"。
加载顺序(rd_loader)
renderdoc.pyd / renderdoc.dll 的查找优先级:
setup_renderdoc(release_dir=...)显式传入参数RENDERDOC_RELEASE_DIR环境变量(开发态覆盖)src/renderdoc_mcp/_vendor/(默认,仓库自带)
进一步阅读
PLAN.md— 项目完整计划、Phase 进度、技术决策、UIA 探测结论、本机环境信息等
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