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.
Runners
- Hyperbrowser: Executes scraping tasks using Hyperbrowser.
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 runner, you need to set the
HYPERBROWSER_API_KEYenvironment variable.
To use the Any Article scraper, you need to set the
OPENAI_API_KEYenvironment variable.
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