# Local Web Search

> Use this tool when you need to perform web searches and extract relevant content without direct internet access. It solves problems such as research, content aggregation, and information retrieval by providing customizable search queries and parsed web content in markdown format. The Local Web Search tool takes in search queries and parameters, and outputs cleaned and formatted web content for AI assistants and other compatible clients.

Canonical page: https://skillsregistry.net/skills/fradser-local-web-search  
JSON: https://api.skillsregistry.net/v1/skills/fradser-local-web-search

## Description

This MCP server implementation provides a local web search capability, integrating with a headless browser to perform Google searches and extract content from web pages. Developed by Frad Lee, it offers features such as customizable search queries, result limiting, domain exclusion, and content truncation. The server uses the Readability library to clean and parse web content, converting it to markdown format. It's designed for AI assistants and other MCP-compatible clients that require up-to-date web information without direct internet access. The implementation is particularly useful for tasks like research, content aggregation, and information retrieval across various domains.

## Trust

- **Trust score (0–1):** 0.97
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/fradser-local-web-search)
- **Repository:** <https://github.com/fradser/mcp-server-local-web-search>

## 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": "fradser-local-web-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fradser-local-web-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fradser-local-web-search/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