# WebMCPcss

> WebMCPcss — cochinoraptor-webmcpcss. Use this tool when you need to extend the WebMCP standard with custom CSS properties to describe AI agent tools on a web page. It solves the problem of standardizing AI agent interactions with web interfaces by using a .webmcp.css file with custom webmcp-* properties. This tool is ideal for developers who want to integrate AI agents with web applications using a standardized and flexible approach.

Canonical page: https://skillsregistry.net/skills/cochinoraptor-webmcpcss  
JSON: https://api.skillsregistry.net/v1/skills/cochinoraptor-webmcpcss

## Description

WebMCPcss extiende el estándar WebMCP con una idea simple: describir las herramientas que un agente de IA puede usar en una web mediante un archivo .webmcp.css — CSS estándar con propiedades personalizadas webmcp-*:

## Trust

- **Trust score (0–1):** 0.98
- **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/cochinoraptor/WebMCPcss)

## 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": "cochinoraptor-webmcpcss"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cochinoraptor-webmcpcss` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cochinoraptor-webmcpcss/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