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MCP server · Scraping

Franchise Due Diligence MCP

by · github.com/apifyforge/franchise-due-diligence-mcp

Franchise due diligence research inside any MCP-compatible AI client — one tool call delivers franchisor health scores, complaint trajectories, market saturation analysis, corporate structure investigation, and investment verdicts drawn from 8 parallel data sources.

Unclaimed last commit 7 months ago ai-toolsapifyclaudecursormcpmcp-servermodel-context-protocolwindsurf
InstallView source
24Low

Scored 7 hours ago · breakdown

About Franchise Due Diligence MCP

Franchise Due Diligence MCP is an MCP server published by apifyforge in the Scraping category: franchise due diligence research inside any MCP-compatible AI client — one tool call delivers franchisor health scores, complaint trajectories, market saturation analysis, corporate structure investigation, and investment verdicts drawn from 8 parallel data sources.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/apifyforge/franchise-due-diligence-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Ask about Franchise Due Diligence MCP — answers draw on its README.

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Questions

About Franchise Due Diligence MCP

How do I install Franchise Due Diligence MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Franchise Due Diligence MCP safe to use with an AI agent?

Its trust score is 24 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Franchise Due Diligence MCP still maintained?

The last commit was 7 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.