# user-agent-parser

> user-agent-parser — br0ski777-user-agent-parser-x402. Use this tool when you need to extract detailed information from user agent strings, such as browser, OS, and device type, to enhance user profiling and analytics. It solves problems related to user agent string parsing, providing structured data outputs for informed decision-making. With a simple pay-per-call interface via x402, it offers a convenient and secure way to access user agent data without requiring an API key or signup.

Canonical page: https://skillsregistry.net/skills/br0ski777-user-agent-parser-x402  
JSON: https://api.skillsregistry.net/v1/skills/br0ski777-user-agent-parser-x402

## Description

It enables AI agents to parse user agent strings into structured data such as browser, OS, device type, engine, and bot status, with pay-per-call micropayments via x402 and no API key or signup required.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y4zqr06vu8)
- **Repository:** <https://github.com/Br0ski777/user-agent-parser-x402>

## 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": "br0ski777-user-agent-parser-x402"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/br0ski777-user-agent-parser-x402` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/br0ski777-user-agent-parser-x402/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