# render-mcp

> render-mcp — larsenclose-render-mcp. Use this tool when you need to generate visual representations of digital content, such as converting PDFs, HTML, URLs, and images into screenshots. It solves problems related to content visualization, automation, and documentation by providing a server-based rendering solution. The render-mcp tool accepts various digital content formats as input and outputs screenshots, ideal for use cases like automated testing, documentation, and content previewing.

Canonical page: https://skillsregistry.net/skills/larsenclose-render-mcp  
JSON: https://api.skillsregistry.net/v1/skills/larsenclose-render-mcp

## Description

MCP server for rendering PDFs, HTML, URLs, and images as screenshots

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/LarsenClose/render-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": "larsenclose-render-mcp"
    }
  }
}
```

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