Introducing the Franchise Signal MCP Connector for FDD Data

"I cannot explain this any more simply. You have asked me the same question fifteen different ways now. Turn off the 'ambitious work' selector, and if you ask something this basic again, I will revoke your access to all future model upgrades."

Fortunately Claude and ChatGPT do not answer like this. Although it could just be that my questions are "insightful", and "really onto something there" :)

Joking aside, we can all ask anything, in any manner, until some base case level of understanding. AI is an incredible tool and has pattern matched and trained on more data than anyone could ever consume in a lifetime.

Diligence, in one form, is a series of asking questions until you feel confident in whatever the overall theme of decision making entails.

There are challenges to using AI in diligence

1) Asking the right questions: You have to know what to ask. This is situational, and there is nothing an AI can do to 'level set' with lived experience.

2) Having the right context for the questions: AI has to have the right data to give the best response.

3) Contextualizing the answers provided into whatever is being acted upon: Ultimately you have to still understand what is being presented.

4) Taking the right action(s): We can chat all day, but the real world requires some level of action and everything that comes along with that.


Specific to franchise diligence, I am excited to introduce the Franchise Signal MCP Connector.

Claude and ChatGPT do not have specific training on and access to the thousands of Franchise Disclosure Documents (FDDs) that are filed every year.

FDDs are 300+ page PDFs that disclose specific aspects of a franchise system.

On top of this, FDDs are annual filings and change for a brand every year. One FDD may provide a snapshot in time. Multiple years of an FDD for a brand tells a more complete story.

The Franchise Signal MCP Connector is to help address (1) and (2) above, and is specific to franchise data:

What kind of questions can we ask AI about a given franchise brand(s)?

How can we feed AI as much data as possible, so that you can get higher quality answers?

Claude can already:

• Build a financial model
• Provide an interactive graphic
• Build a comparison report
• Act on specific skills

Now with the Franchise Signal MCP Connector, you can leverage your AI native workflows all with the latest FDD data across your selected set of franchise brand-years.

You pick your brands. You get full year-over-year data, trends, and context - all a query away. Compared to sourcing, downloading, and trying to work with dozens of 300 page PDFs.

Setup for the connector takes ~10 minutes and works with your Claude subscription.

Pick your brands and years, and the FDD data is available in every chat and workflow from there.

If franchise data is part of how you work (research, diligence, investing, advising, and/or operating) - I would love to hear how you are using AI today.

Browse Franchise Signal for a full directory of franchises and year-over-year data. Sign up for a free account to create your MCP Connector and get started with full research and diligence workflows. You only pay for your data and queries.

Book a demo to receive 100 free query credits, a custom Diligence Skill tailored to your workflow, and a full interactive walkthrough.