What is the MCP Server?

The MCP Server is an open protocol that standardizes how applications provide context to LLMs. It acts as a bridge, allowing AI models to access and interact with external data sources and tools.

How does the MCP Server integrate with UBOS?

The MCP Server integrates with UBOS by providing a platform for deploying AI Agents across business functions. It enhances UBOS’s capabilities in orchestrating AI Agents and connecting them with enterprise data.

What are the key features of the MCP Server?

Key features include graph-based knowledge representation, semantic search with Qdrant, OpenAI embeddings for semantic similarity, HTTPS support, Docker compatibility, and customizable environment variables.

How does the semantic search work in the MCP Server?

Semantic search in the MCP Server is powered by the Qdrant vector database. It uses OpenAI embeddings to find entities and relations that are semantically similar to a given query.

What are the use cases for the MCP Server?

Use cases include enterprise knowledge management, AI-driven customer support, and research and development, among others.