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.
README
MCP Web Utilities Server
Lightweight MCP server that exposes web search and page fetching tools.
Features
search_on_webandsearch_on_websiteusingddgs(DDGS | Dux Distributed Global Search, a multi-source search engine).fetch_webpagethat returns simplified Markdown usingcrawl4aiwith stealth settings.
Requirements
- Python 3.13+
uvinstalled
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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