# renderdoc-mcp

> renderdoc-mcp — fjxyyzg3-renderdoc-mcp. Use this tool when you need to analyze and debug graphics rendering issues, inspect GPU frame captures, and optimize performance. It solves problems related to graphics debugging and performance analysis by providing detailed insights into draw calls, shaders, and render passes. The tool takes in GPU frame captures as input and outputs detailed analysis and visualization of the rendering process.

Canonical page: https://skillsregistry.net/skills/fjxyyzg3-renderdoc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fjxyyzg3-renderdoc-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y83p5i9k0u)
- **Repository:** <https://github.com/fjxyyzg3/renderdoc-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fjxyyzg3-renderdoc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fjxyyzg3-renderdoc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fjxyyzg3-renderdoc-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt