MCP Web Utilities Server

MCP Web Utilities Server

Exposes tools for performing web searches via DuckDuckGo and fetching webpage content as simplified Markdown using crawl4ai. It enables language models to search the internet or specific websites and retrieve cleaned page text for analysis.

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README

MCP Web Utilities Server

Lightweight MCP server that exposes web search and page fetching tools.

Features

  • search_on_web and search_on_website using ddgs (DDGS | Dux Distributed Global Search, a multi-source search engine).
  • fetch_webpage that returns simplified Markdown using crawl4ai with stealth settings.

Requirements

  • Python 3.13+
  • uv installed

Setup

Install uv on Windows (PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
uv sync

Then activate the virtual environment and run the crawler setup:

.venv\Scripts\activate
crawl4ai-setup

Run the server

uv run src\main.py

Or when developing:

start_mcp_server.cmd

LM Studio Configuration

To use this server in LM Studio, add the following to your MCP settings (mcp.json):

{
  "mcpServers": {
    "web-utilities": {
      "command": "uv",
      "args": [
        "--directory",
        "D:\\Dev\\McpServer",
        "run",
        "src\\main.py"
      ]
    }
  }
}

Note: Replace D:\\Dev\\McpServer with the actual path to your project.

Tools

search_on_web(query: str, results: int = 10) -> str

  • Returns results formatted as:
[title](url)
description

search_on_website(query: str, sites: list[str], results: int = 10) -> str

  • Same format, restricted to the provided sites.

fetch_webpage(target_url: str) -> str

  • Returns simplified Markdown for the target page.

Tests

python -m unittest src.tests

Notes

  • Avoid writing to STDOUT (e.g., print) when the server is running; it will break JSON RPC communication.
  • Network-dependent tests may fail if external services are blocked in the current environment.

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