# com.reflexmcp/reflex

> Use this tool when you need to automate browser interactions for AI agents, reducing token usage and improving efficiency. It solves problems of slow and costly browser automation by providing compressed page snapshots and batched actions. Ideal for use cases requiring automated web browsing, data extraction, or testing, with inputs of URLs and actions, and outputs of compressed page data and execution results.

Canonical page: https://skillsregistry.net/skills/com-reflexmcp-reflex  
JSON: https://api.skillsregistry.net/v1/skills/com-reflexmcp-reflex

## Description

Browser automation for AI agents: compressed page snapshots, batched actions, fewer tokens.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.4.12
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-06-24

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.reflexmcp%2Freflex)

## 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": "com-reflexmcp-reflex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-reflexmcp-reflex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-reflexmcp-reflex/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