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WebQuest MCP is a Model Context Protocol (MCP) server that exposes powerful web search and scraping tools to AI agents and MCP-compatible clients.

Project description

WebQuest MCP

WebQuest MCP is a Model Context Protocol (MCP) server that exposes powerful web search and scraping tools to AI agents and MCP-compatible clients.

Scrapers

  • Any Article: Extracts readable content from arbitrary web articles.
  • DuckDuckGo Search: General web search using DuckDuckGo.
  • Google News Search: News-focused search via Google News.
  • YouTube Search: Search YouTube videos, channels, posts, and shorts.
  • YouTube Transcript: Fetch transcripts for YouTube videos.

Browsers

  • Hyperbrowser: A cloud-based browser service for running Playwright scrapers without managing infrastructure.

Installation

Installing using pip:

pip install webquest-mcp

Installing using uv:

uv add webquest-mcp

Usage

Start the WebQuest MCP server:

webquest-mcp

This will launch the MCP server using the streamable-http transport. Configure your MCP-compatible client (e.g., an MCP-aware IDE or agent) to connect to the webquest-mcp server to use the tools listed above.

To use the Hyperbrowser browser, you need to set the HYPERBROWSER_API_KEY environment variable.

To use the Any Article scraper, you need to set the OPENAI_API_KEY environment variable.

Disclaimer

This tool is for educational and research purposes only. The developers of WebQuest MCP are not responsible for any misuse of this tool. Scraping websites may violate their Terms of Service. Users are solely responsible for ensuring their activities comply with all applicable laws and website policies.

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