# TgeBrowser MCP Server

> Use this tool when you need to automate browser interactions or create isolated browser environments for testing and automation purposes. It solves problems related to browser automation, such as navigation and element interaction, and supports natural language input for tasks like fingerprint configuration. The tool accepts natural language commands as input and outputs automated browser actions, making it ideal for use cases requiring efficient and customized browser management.

Canonical page: https://skillsregistry.net/skills/tuguang2025-tgebrowser-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tuguang2025-tgebrowser-mcp-server

## Description

Enables AI assistants to interact with the TgeBrowser Local API to create, manage, and automate isolated browser environments. It supports comprehensive browser automation tasks including navigation, element interaction, and fingerprint configuration through natural language.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d5rgis9xon)
- **Repository:** <https://github.com/tuguang2025/tgebrowser-mcp-server>

## 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": "tuguang2025-tgebrowser-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tuguang2025-tgebrowser-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tuguang2025-tgebrowser-mcp-server/pull`

---
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