# Low Cost Browsing MCP Server

> Low Cost Browsing MCP Server — lcbro-lc-browser-mcp. Use this tool when you need to automate browser interactions, extract web content, and transform data using large language models (LLMs). It solves problems related to web scraping, data cleaning, and structuring by providing a managed server for browser automation and integration with local or external LLMs. The tool accepts web URLs and authentication parameters as inputs and outputs cleaned and structured data, making it ideal for use cases requiring automated web data extraction and transformation.

Canonical page: https://skillsregistry.net/skills/lcbro-lc-browser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lcbro-lc-browser-mcp

## Description

Enables browser automation, web content extraction, and LLM-powered data transformation using Playwright. Supports session management, authentication flows, and works with local LLMs (Ollama, JAN AI) or external providers to clean and structure extracted web data.

## Trust

- **Trust score (0–1):** 0.82
- **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/q0ktpc3q8t)
- **Repository:** <https://github.com/lcbro/lcbro-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": "lcbro-lc-browser-mcp"
    }
  }
}
```

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