RenderDoc MCP Server

RenderDoc MCP Server

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.

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README

RenderDoc MCP Server

一个用于 RenderDoc 的 MCP (Model Context Protocol) 服务器，允许 AI 助手分析和检查 RDC 捕获文件。

功能

  • 打开和分析 RDC 捕获文件
  • 获取捕获的基本信息（API 类型、驱动、帧数等）
  • 列出和搜索纹理资源
  • 列出和搜索缓冲区资源
  • 获取 Draw Call 列表和详情
  • 查看着色器信息
  • 获取像素数据

安装

前置要求

  1. RenderDoc: 从 renderdoc.org 下载并安装
  2. Python 3.10+: 确保已安装 Python 3.10 或更高版本

安装 MCP 服务器

# 克隆仓库
git clone https://github.com/yourusername/renderdoc-mcp.git
cd renderdoc-mcp

# 安装依赖
pip install -e .

配置 RenderDoc Python 模块

要使用原生 Python API（推荐），需要设置 PYTHONPATH 包含 RenderDoc 的 Python 模块路径：

Windows:

set PYTHONPATH=%PYTHONPATH%;C:\Program Files\RenderDoc\plugins\python

或者在环境变量中永久设置。

如果不设置，服务器会自动回退到使用 renderdoccmd 命令行工具。

配置 Claude Desktop

在 Claude Desktop 配置文件中添加：

Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "renderdoc": {
      "command": "python",
      "args": ["-m", "renderdoc_mcp.server"],
      "env": {
        "PYTHONPATH": "C:\\Program Files\\RenderDoc\\plugins\\python"
      }
    }
  }
}

macOS/Linux: ~/.config/claude/claude_desktop_config.json

{
  "mcpServers": {
    "renderdoc": {
      "command": "python",
      "args": ["-m", "renderdoc_mcp.server"],
      "env": {
        "PYTHONPATH": "/usr/share/renderdoc/plugins/python"
      }
    }
  }
}

可用工具

工具名称 描述
renderdoc_check_available 检查 RenderDoc 是否可用
renderdoc_open_capture 打开 RDC 捕获文件
renderdoc_close_capture 关闭当前捕获文件
renderdoc_get_capture_info 获取捕获的详细信息
renderdoc_get_textures 获取所有纹理列表
renderdoc_get_buffers 获取所有缓冲区列表
renderdoc_get_draw_calls 获取 Draw Call 列表
renderdoc_get_shader_info 获取着色器详细信息
renderdoc_get_pixel_data 获取指定位置的像素数据
renderdoc_get_texture_thumbnail 获取纹理缩略图
renderdoc_analyze_draw_call 分析特定 Draw Call
renderdoc_search_resources 搜索资源

使用示例

在 Claude Desktop 中，你可以这样使用：

请帮我分析 C:\captures\scene.rdc 这个捕获文件中的纹理资源

列出这个捕获中的所有 Draw Call

搜索名称包含 "normal" 的纹理

开发

# 安装开发依赖
pip install -e ".[dev]"

# 运行测试
pytest

许可证

MIT License

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