# VS Code Simple Browser MCP Server

> Use this tool when you need to integrate large language models (LLMs) with web browsing capabilities, enabling natural language interaction with web pages. It solves problems such as automating web tasks, monitoring console output, and executing JavaScript code, providing inputs like natural language commands and outputs like browser responses. Ideal for use cases requiring programmatic browser control and automation in VS Code's Simple Browser environment.

Canonical page: https://skillsregistry.net/skills/savignano-vscode-simple-browser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/savignano-vscode-simple-browser-mcp

## Description

A Model Context Protocol server that enables LLMs to interact with VS Code's Simple Browser, allowing for browser control, JavaScript execution, console monitoring, and navigation through natural language.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zflv793s6w)
- **Repository:** <https://github.com/SaViGnAnO/vscode-simple-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": "savignano-vscode-simple-browser-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/savignano-vscode-simple-browser-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/savignano-vscode-simple-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
