AppFollow MCP & AI Toolkit.
Your app data inside the AI you already use.

Ask Claude, ChatGPT, or Codex for reviews, ratings, and ASO (App Store Optimization) data. Live. No dashboard, no code.

One install gets you both: the AI Toolkit bundles the MCP (Model Context Protocol) connector with ready-made analyst workflows. Free & open source.

One open standard. Works with Claude, ChatGPT, Codex & Cursor.

Using ChatGPT, Cursor, or GitHub Copilot? See the MCP setup guide

Same data, new interface

Same data, new interface

Identical to your AppFollow dashboard and API.

Secure by design

Secure by design

Google OAuth. No API keys to manage.

No dashboard required

No dashboard required

Ask in Claude, ChatGPT, or Codex. Get answers back.

One install. Everything included.

The AI Toolkit ships with the MCP connector built in — plus analyst workflows we keep expanding.

AI Toolkit Recommended

Everything the MCP connector does, plus guided analyst skills and more.

Reports ship as files, ready to share.

New skills land automatically — install once, get every future workflow. Open source on GitHub →

Just the MCP connector

Using the Claude app, ChatGPT, Cursor, or GitHub Copilot? Connect the MCP server and ask for reviews, ratings, rankings, and keywords — straight from AppFollow.

Google OAuth or Single Sign-On (SSO). No API keys. No code required, ever. Setup guide →

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Ask anything, in plain language

"Show me rating charts for my apps this month." MCP builds the answer, live, right in your chat — same data as your dashboard.

Ready-made workflows, open source

Feedback analysis: KPIs, trends, anomalies, plus your top bugs and feature requests.

ASO analysis: keyword positions, opportunities, and metadata fixes.

Run them as slash commands — /feedback-analysis, /aso-analysis and others — and get the same report shape every time. Install the Toolkit ↓

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Everything AppFollow MCP can do

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Find & track apps

Find an app on the App Store or Google Play and start tracking it — in one turn.

Feedback, analyzed instantly

KPIs, sentiment trends, and anomalies — plus your top bugs and feature requests, without reading every review.

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ASO, analyzed instantly

Keyword positions, opportunities, and metadata fixes — ready for App Store Connect or Play Console.

Shareable, automatable reports

Every report ships as a file you can share, plus data your tracker can turn into tickets.

Something missing? Tell us — right from the chat.

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Works with your AI stack

Same connector, every assistant you use — no separate setup per tool.

One maintained connector beats a DIY script

A DIY script is one more thing your team owns forever — and it breaks the moment a store API changes. MCP is maintained, secured, and supported.

 

  AppFollow MCP DIY script Direct API
Setup time Under a minute Hours to days Hours (auth + client code)
Auth Google OAuth / SSO, no keys You manage API keys You manage API keys
Maintenance Maintained by AppFollow Your team owns it Your team owns it
New features Ship automatically You build them You build them
Works inside your AI chat Yes — Claude, ChatGPT, Codex, Cursor Only if you build it No — raw data only

AI toolkit is easy and useful

"The output we got was pretty cool — we could just ask it natural language questions about our reviews and it spits it right out in my desktop app. I don't have to go to another portal and all the different settings to figure it out. At least from the quick experience I had, it was really nice and easy. It made it easy to get the data."
 

Support Team Lead, MobilityWare

 

Built for teams who live in AI tools, not dashboards

ASO & Marketing

Keyword research and metadata fixes, without leaving the chat.

Product managers

Bugs and feature requests, surfaced automatically.

Builders shipping with AI

Shipped it with Claude Code? Monitor it there too. Install the Toolkit ↓

Engineering teams

Skip the DIY script, get a maintained connector instead.

Get set up in under a minute

Install the AI Toolkit Recommended

Claude Code & Codex. MCP connection bundled — nothing else to configure.

/plugin marketplace add AppFollow/appfollow-ai-toolkit
/plugin install appfollow-ai-toolkit@appfollow-ai-toolkit

Codex: codex plugin marketplace add AppFollow/appfollow-ai-toolkit, then install from /plugins. Sign in with Google on your first request. Source on GitHub →

Or connect just the MCP

AppFollow is an official Claude connector.

1Open Claude → Customize → Connectors → Add → Browse connectors

2Search “AppFollow” → Connect

3Sign in with Google — done!

Using ChatGPT, Cursor, or GitHub Copilot? Add the MCP server manually: full setup guide →

FAQ

What can I ask AppFollow MCP for?

Live reviews, ratings, and ASO data directly inside Claude, ChatGPT, or Codex — no separate dashboard. One connector covers app tracking, feedback analysis, and ASO analysis, and ready-made workflows (/feedback-analysis, /aso-analysis) ship as slash commands that update automatically.

What is MCP?

MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude, ChatGPT, and Codex connect directly to external data sources. AppFollow's MCP connector lets these assistants query your live reviews, ratings, and ASO data.

Do I need API keys to set it up?

No. You connect with Google OAuth or Single Sign-On (SSO) — there are no API keys to generate or manage.

What data does the MCP connector access?

The same data available in your AppFollow dashboard and API — reviews, ratings, keyword rankings, and ASO metadata for the apps you already track. It doesn't expose anything beyond what your account has access to.

Which AI assistants does it work with?

Claude, ChatGPT, Codex, Cursor, and GitHub Copilot — any assistant that supports the MCP standard.

What's the difference between the MCP connector and the AI Toolkit?

The MCP connector alone lets you ask ad-hoc questions and get live data back. The AI Toolkit bundles the same connector with pre-built analyst workflows (like /feedback-analysis and /aso-analysis) that return a consistent report shape every time.