How to Use the AppFollow MCP in VS Code Copilot

Q: How do we share AppFollow configuration in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and commit it to Git. This MCP configuration ensures every developer on your team using Copilot Chat gets access to the tools automatically.

Q: How do we view review summaries?

Ask Copilot Chat to run getreviewsaisummary for your app ID. The agent will fetch the latest feedback and present a summarized list in the chat pane.

Share app store monitoring tools across your engineering team in VS Code Copilot.

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Connect AppFollow MCP to VS Code Copilot

Create your Vinkius account to connect AppFollow to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AppFollow with VS Code Copilot

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Track release performance in VS Code Copilot

The `get_ratings_history` tool pulls historical rating data over any specified timeframe. Your team uses this to measure the stability of a new release immediately after deployment. Since this MCP server runs inside your shared workspace, any developer on the team can run these checks. You don't need to distribute individual API keys to everyone.

Analyze customer sentiment during code reviews

The `get_reviews_summary` tool fetches a quick overview of recent user feedback and average ratings. When reviewing a pull request, you can ask Copilot if recent reviews justify the code changes. This keeps your team focused on real user problems. You avoid building features that nobody asked for by looking at live store feedback.

Verify store integrations locally

The `get_account_check` tool validates your connection status with the AppFollow platform instantly. This MCP tool validates your credentials before running complex data pipelines. Your agent uses this tool to troubleshoot connection issues without manual curl commands. It simplifies setting up your local environment.

Setup guide

Set up AppFollow MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the AppFollow MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the AppFollow tools listed. Try asking: "List my recent AppFollow transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "appfollow-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppFollow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AppFollow MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and commit it to Git. This MCP configuration ensures every developer on your team using Copilot Chat gets access to the tools automatically.

Yes. You can ask Copilot to write a task runner script that calls `get_ratings` and outputs the daily distribution directly to your workspace.

Yes. The MCP Server operates within your existing VS Code security boundaries, making it safe for enterprise-wide rollouts.

Ask Copilot Chat to run `get_reviews_ai_summary` for your app ID. The agent will fetch the latest feedback and present a summarized list in the chat pane.

All credentials and rating histories are isolated within ephemeral V8 sandboxes. Your sensitive connection tokens are encrypted and never exposed to the public internet.

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