LLM MCP Server Demo

Example Use Cases

• 1

  Generate product recommendations using a local LLM.

• 2

  Integrate LLM capabilities with a product catalog backend.

• 3

  A demo setup combining FastAPI server and SQL database for MCP.

Description

This project demonstrates a setup where a local large language model (LLM) server interacts with an MCP server to provide product recommendations. It includes components such as Ollama with the llama3.2 model, a Python FastAPI MCP server, and a SQL database for product catalog management. The system emulates retrieval-augmented generation (RAG) to enable the LLM to communicate effectively with the MCP server, enhancing recommendation capabilities.