# mcp-caniuse

> mcp-caniuse — pipeworx-io-mcp-caniuse. Use this tool when you need to check browser compatibility for various web features, solving problems like ensuring cross-browser support for your website or application. It provides feature support tables as output, taking browser versions and features as input. Use it when developing web applications to determine which features are supported by different browsers.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-caniuse  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-caniuse

## Description

caniuse MCP — browser feature support tables

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-caniuse)

## 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": "pipeworx-io-mcp-caniuse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-caniuse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-caniuse/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