What is the MCP Server?

The MCP Server is an open protocol that standardizes how applications provide context to Language Learning Models (LLMs), enabling AI models to access and interact with external data sources and tools.

How does the MCP Server help AI assistants?

The MCP Server allows AI assistants to access text content from bot-protected websites, bridging the gap between what can be seen in a browser and what the AI can access.

What are the key features of the MCP Server?

Key features include advanced content retrieval, various protection levels, content targeting options, and seamless integration with Claude Sonnet 3.7.

What are the intended use cases for the MCP Server?

The MCP Server is optimized for low-volume retrieval of documentation and reference materials, AI training and development, and research and analysis.

Can the MCP Server be used for high-volume data scraping?

No, the MCP Server is not designed for high-volume scraping or data harvesting. It is specifically for text content retrieval from bot-protected sites.

How does the MCP Server integrate with the UBOS platform?

The MCP Server integrates with the UBOS platform, enhancing AI Agent capabilities by connecting them with enterprise data and building custom AI Agents with LLM models.