What is the MCP Server?

The MCP Server is a Retrieval-Augmented Generation (RAG) server using the Model Control Protocol (MCP) to facilitate standardized communication between AI models and external data sources.

How does the MCP Server integrate with UBOS?

The MCP Server integrates with the UBOS Platform, allowing businesses to orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents using their LLM models.

What are the key features of the MCP Server?

Key features include document ingestion and indexing, semantic search capabilities, local LLM integration, MCP protocol compliance, and RISC Zero Bonsai documentation support.

What industries can benefit from the MCP Server?

Industries such as business intelligence, data science & ML, learning & documentation, and developer tools can benefit from the MCP Server.

How do I install the MCP Server?

Install Python dependencies using Poetry, install and start Ollama for local LLM support, pull the required model, and start the MCP Server to begin using it.