Notebook 7: MCP & real signals (template)
Goal: Connect one approved MCP tool or export to a variable in your personal influence model — or document synthetic data and the bridge to reality.
Read docs/MCP_MARKETING.md before running anything against live accounts.
Data card (fill in)¶
| Field | Your notes |
|---|---|
| Source | |
| Scope (read/write) | |
| Freshness / lag | |
| Maps to model variable | |
| What would falsify your model? |
# Placeholder: ingest a CSV export or call an MCP-backed helper your faculty provides.
# import pandas as pd
# df = pd.read_csv("your_export.csv")
# df.head()One paragraph¶
If the signal above disagreed with your simulation, which rule would you change first — and why?