From 2cb19fb45be23eea6c122c1d4d0ad8a8b4d86336 Mon Sep 17 00:00:00 2001
From: Nick Ferguson <98440329+itprodirect@users.noreply.github.com>
Date: Thu, 5 Jun 2025 20:05:24 -0400
Subject: [PATCH] docs: add CSV analysis instructions

---
 README.md | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/README.md b/README.md
index 44e33357..ed58e4a3 100644
--- a/README.md
+++ b/README.md
@@ -66,6 +66,19 @@ Here are quick examples of how an independent insurance agent might apply MCP:
 - **Lead Tracking** – triage new leads automatically using simple prompts.
 - **Commission Insights** – compute profits and commissions with a single command.
 
+To explore these datasets yourself, open the notebook
+[`notebooks/Model-Context-Protocol-101.ipynb`](notebooks/Model-Context-Protocol-101.ipynb).
+It demonstrates how to load `data/insurance_sales.csv` and calculate totals.
+You can also inspect the CSV quickly from the command line:
+
+```bash
+python - <<'EOF'
+import pandas as pd
+df = pd.read_csv('data/insurance_sales.csv')
+print(df.head())
+EOF
+```
+
 ![MCP flow](docs/img/architecture.svg "CSV data flowing through MCP tools to outputs")
 
 ---