# Concept Code for a new MCP Tool
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from mcp.server.fastmcp import FastMCP

mcp = FastMCP("Textbook Knowledge")
documents = SimpleDirectoryReader("./textbooks").load_data()
index = VectorStoreIndex.from_documents(documents)
query_engine = index.as_query_engine()

@mcp.tool()
def consult_textbook(question: str) -> str:
    """Consults the uploaded Gray's Anatomy textbook for exact definitions."""
    response = query_engine.query(question)
    return str(response)