# URL Text Fetcher MCP Server

> URL Text Fetcher MCP Server — billallison-brsearch-mcp-server. Use this tool when you need to retrieve text content from web pages or search the web for relevant information. It solves problems related to web scraping, link extraction, and search queries, providing AI models with comprehensive web data. The tool takes URLs or search queries as input and outputs the fetched text content, extracted links, or top search results, making it ideal for applications requiring web data retrieval and processing.

Canonical page: https://skillsregistry.net/skills/billallison-brsearch-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/billallison-brsearch-mcp-server

## Description

Enables AI models to fetch text content from URLs, extract links from web pages, and search the web using Brave Search with automatic content retrieval from top results. Provides comprehensive web scraping and search capabilities with robust error handling.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w3g04hv7fq)
- **Repository:** <https://github.com/billallison/brsearch-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": "billallison-brsearch-mcp-server"
    }
  }
}
```

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