# BrowserMesh

> BrowserMesh — scrolldynasty-multi-agent-browser-mcp. Use this tool when you need to automate and manage multiple browser sessions simultaneously, solving issues like scalability and session isolation in web automation and testing. BrowserMesh enables AI clients to control isolated Chromium browser sessions, accepting inputs like session and page addresses, and producing outputs like independent browser states. It is ideal for use cases requiring concurrent, controlled browser interactions, such as automated testing, web scraping, and browser-based automation.

Canonical page: https://skillsregistry.net/skills/scrolldynasty-multi-agent-browser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/scrolldynasty-multi-agent-browser-mcp

## Description

A local, open-source MCP server that enables AI clients to control multiple isolated Chromium browser sessions concurrently, with explicit session and page addressing and independent state.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xeghkavsfg)
- **Repository:** <https://github.com/scrollDynasty/multi-agent-browser-mcp>

## 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": "scrolldynasty-multi-agent-browser-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scrolldynasty-multi-agent-browser-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scrolldynasty-multi-agent-browser-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