# peek

> Use this tool when you need to analyze and understand recorded browser sessions, exposing DOM, console, and network data to AI coding agents for debugging, testing, or automation purposes, with the added benefit of fully local processing. It solves problems related to reproducing and diagnosing issues in web applications, providing a comprehensive view of user interactions. Ideal for use cases where local, secure, and offline analysis of browser sessions is required.

Canonical page: https://skillsregistry.net/skills/io-github-cubenest-peek-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-cubenest-peek-mcp

## Description

Exposes recorded browser sessions (rrweb DOM, console, network) to AI coding agents, fully local

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0-alpha.14
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Cubenest%2Fpeek-mcp)
- **Repository:** <https://github.com/Cubenest/rrweb-stack>

## 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": "io-github-cubenest-peek-mcp"
    }
  }
}
```

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