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FAQ

What is the MCP Server used for?

The MCP Server is used to expose GraphQL schema information to Large Language Models (LLMs), allowing AI models to explore and understand complex data structures.

How does the MCP Server enhance AI interactions?

By providing LLMs with access to GraphQL schemas, the MCP Server facilitates AI-driven insights and decision-making, improving operational efficiency.

Can the MCP Server integrate with existing enterprise systems?

Yes, the MCP Server can integrate with existing enterprise systems, enhancing data flow and interaction between different departments and AI models.

What are the key features of the MCP Server?

Key features include schema loading and exploration, detailed type definitions, pattern matching, simplified field information, and internal type filtering.

How does the MCP Server work with the UBOS platform?

The MCP Server integrates with the UBOS platform to enhance AI Agent orchestration, connecting them with enterprise data and building custom AI Agents with LLM models.

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