AppFollow provides two ways to work with your AppFollow data using AI:

• AppFollow MCP Server — connects AppFollow to MCP-compatible AI assistants such as Claude, ChatGPT, Codex, and Cursor, allowing them to access your live AppFollow data.
• AppFollow AI Toolkit — an open-source plugin built on top of MCP that provides ready-to-use workflows and skills for common AppFollow tasks.

Use the AI Toolkit when you want ready-made workflows for tasks such as feedback analysis, ASO analysis, and app discovery. Use the MCP Server when you want to connect AppFollow directly to an MCP-compatible AI assistant and work with your data using natural-language prompts.

AppFollow AI Toolkit

The open-source AppFollow AI Toolkit provides ready-to-use workflows and skills built on top of the MCP Server. It can be installed from GitHub and used with supported AI clients such as Claude, Claude Code, and Cursor.

The toolkit helps automate common AppFollow tasks, including:

• App discovery and tracking
• Customer feedback analysis
• ASO analysis
• Keyword recommendations
• Review trend reporting
• Structured HTML reports and JSON outputs for further automation

Example workflows

The toolkit includes commands such as:

• /search — Find and track apps
• /feedback-analysis — Analyze reviews, ratings, sentiment trends, feature requests, and reported issues
• /aso-analysis — Review keyword performance and receive ASO recommendations

These workflows produce consistent, repeatable reports that can be integrated into your existing processes.

AppFollow MCP Server

The AppFollow MCP Server provides secure access to your AppFollow account through Google OAuth authentication. After signing in, your AI assistant can use AppFollow tools that are available for your account without requiring API keys or custom integrations.

The MCP server is available at:

https://mcp.appfollow.io/mcp

Access is limited to the AppFollow account you authenticate with, and all requests use your existing AppFollow permissions.

You must be an Owner or Admin of your AppFollow account to connect the AppFollow MCP Server.

Available tools

Depending on your AppFollow plan and permissions, the MCP Server provides access to tools for:

• Reviews and review replies
• Ratings analysis
• App rankings
• Keywords and ASO data
• Apps and collections
• Reports
• API credits information

Your AI assistant can combine these tools to:

• Summarize customer feedback
• Identify trends and recurring issues
• Analyze rating changes
• Monitor ASO performance
• Generate reports
• Answer questions using your live AppFollow data

Authentication

The AppFollow MCP Server uses Google OAuth authentication.

Benefits include:

• No API keys to manage
• Secure access to your AppFollow account
• Permissions scoped to your account
• Easy sign-in from supported AI clients

Supported AI clients

The AppFollow MCP Server can be used with any MCP-compatible client, including:

• Anthropic (Claude.ai, Claude Cowork, Claude Code)
• Open AI (Chat GPT Web, Codex)
• Cursor
• Other clients that support the Model Context Protocol (MCP)

Connect to Claude

Claude.ai / Claude Cowork

The AppFollow connector is available directly in the Claude connectors directory:

1. Open Settings in Claude.
2. Go to Connectors.
3. Select Browse connectors.
4. Search for AppFollow.
5. Select Connect.
6. Sign in with the Google account associated with your AppFollow account.

You can also open the AppFollow connector directly: Connect AppFollow to Claude.

That's it—AppFollow is connected to Claude.

Claude Code

Run:

claude mcp add --transport http appfollow https://mcp.appfollow.io/mcp

Then authenticate by running:

/mcp

Follow the Google sign-in flow.

Connect to Codex

To add the AppFollow MCP Server:

codex mcp add appfollow --url https://mcp.appfollow.io/mcp

Then authenticate:

codex mcp login appfollow

Complete the Google sign-in when prompted.

Connect to ChatGPT

To connect AppFollow in ChatGPT:

1. Open Settings.
2. Navigate to Security and login.
3. Enable Developer mode.
4. Open Plugins.
5. Select New Plugin.
6. Enter:
   • Name: AppFollow
   • Connection:https://mcp.appfollow.io/mcp
7. Save the plugin and complete the Google sign-in process.

Connect to Cursor

To add the AppFollow MCP Server:

1. Open Cursor Settings and go to MCP (labeled Tools & MCP in newer versions).
2. Select New MCP Server. This opens your mcp.json file.

3. Add the following entry:

   {
     "mcpServers": {
       "appfollow": {
         "url": "https://mcp.appfollow.io/mcp"
       }
     }
   }

4. Save the file.
5. Cursor will open a browser window to complete the Google sign-in. Approve access to continue — Cursor stores the credentials for you.

Connect to GitHub Copilot

The AppFollow MCP Server works with GitHub Copilot in VS Code and with GitHub Copilot CLI. Both use the same remote HTTP endpoint and Google OAuth — no API key needed, and access is scoped to your own AppFollow workspace and permissions.

GitHub Copilot in VS Code

Requires VS Code 1.99 or later.

1. Create a .vscode/mcp.json file in your repo root (or add the same entry to your user settings.json to enable it everywhere):

   {
     "servers": {
       "appfollow": {
         "url": "https://mcp.appfollow.io/mcp"
       }
     }
   }

2. Click Start at the top of the mcp.json file.
3. Open Copilot Chat in Agent mode and select the tools icon.
4. The first time a tool is called, a browser window opens for the Google sign-in. After that, the AppFollow tools (reviews, ratings, rankings, ASO, keywords) appear in the tools list.

GitHub Copilot CLI

1. Start a Copilot CLI session and run:

   /mcp add

2. Choose HTTP as the transport type.

3. Paste the URL:

   https://mcp.appfollow.io/mcp

4. Follow the prompts to complete the Google sign-in.

Org policy. On Copilot Business or Enterprise, an admin must enable the MCP servers in Copilot policy — otherwise your MCP configuration is ignored.

Feedback

We're continuously improving both the AppFollow MCP Server and the AppFollow AI Toolkit.

If you have ideas for new capabilities or encounter any issues, we'd love to hear your feedback. Your suggestions help us improve future releases and expand available functionality.

Use a built-in /submit_feedback tool to share it with our engineering team directly.

Feedback data. When you rate a session via the connector's feedback tool, you may optionally attach the session transcript and/or a log of tools used. These are sent only if you explicitly consent, and are stored by AppFollow to improve the connector. To receive a copy of your stored feedback data or have it deleted, contact help@appfollow.io with the email you used to sign in.

Methods cost and availability

• Every method has its own price in API Credits
• Methods availability depends on your AppFollow subscription
• Check your API credits consumption with /get_credits tool