# RenderDoc MCP

> Use this tool when you need to analyze RenderDoc capture files (.rdc) offline, enabling examination of action trees, pipeline states, textures, and shaders. It solves problems related to graphics rendering and debugging by providing a programmable interface for AI clients to interact with GUI states on Windows. This tool is ideal for use cases requiring automated or machine-learning-based analysis of graphics rendering data.

Canonical page: https://skillsregistry.net/skills/d-bkk-renderdocmcp  
JSON: https://api.skillsregistry.net/v1/skills/d-bkk-renderdocmcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f7h709pzpa)
- **Repository:** <https://github.com/d-bKK/RenderDocMCP>

## 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": "d-bkk-renderdocmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/d-bkk-renderdocmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/d-bkk-renderdocmcp/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