Wet

Wet

Open-source MCP server for agents: web search, content extraction, docs.

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About Wet

Wet (Web Extended Toolkit) is an open-source MCP server designed for AI agents to enable advanced web search, content extraction, and library documentation retrieval. It features multi-strategy web scraping, research capabilities across scholarly sources, structured content extraction in various formats, file conversion, and cross-device sync. This toolkit is ideal for developers building agentic systems, AI research assistants, and anyone automating web-based data collection or knowledge retrieval workflows.

Resources

Product Website

Visit Wet's official website for product details and getting started.

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Documentation

Comprehensive guide on installation, configuration, and usage of Wet.

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Community Discussions

Engage with other users and developers to share experiences and solutions.

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Example Implementations

Explore various use cases and sample projects using Wet for better understanding.

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Example Projects

Explore sample projects and use cases built with Wet to get started quickly.

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