How to Use the Appbot MCP in VS Code Copilot

Q: How does Appbot for VS Code Copilot handle filtering?

You use the listreviews tool with parameters like sentiment or starRating. This allows the agent to focus only on the feedback that matters to your current task.

Q: Can I see all my apps in Appbot for VS Code Copilot?

Run listapps to pull your entire portfolio into the editor. This gives the agent the necessary context for any app in your account.

Share Appbot review insights across your team in VS Code Copilot for consistent feedback-driven development.

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Connect Appbot MCP to VS Code Copilot

Create your Vinkius account to connect Appbot 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 Appbot with VS Code Copilot

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Team-wide Appbot access in VS Code Copilot

Commit your mcp.json file to your repo so every developer gets the same Appbot toolset. Everyone on the team can run `list_reviews` to see current user sentiment. This keeps your entire squad aligned on the same feedback data. No one has to set up their own integrations manually.

Standardize sentiment analysis in VS Code Copilot

Use `list_languages` to ensure your team checks feedback across all supported locales. The agent can summarize global sentiment for any app version you track. `list_topics` helps your team maintain a shared understanding of user pain points. You make engineering decisions based on the same data set.

Automate bug reporting in VS Code Copilot

Call `list_reviews` with specific filters to generate bug reports directly from user feedback. The agent creates the issue descriptions using real user data. `get_account_info` ensures your team is connected to the right environment. Your workflow stays consistent from onboarding to deployment.

Setup guide

Set up Appbot 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 Appbot 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 Appbot tools listed. Try asking: "List my recent Appbot transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "appbot-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 Appbot. 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 Appbot MCP in VS Code Copilot

Create a .vscode/mcp.json file in your project root. This allows you to share the server configuration with your entire engineering team via Git.

Yes, the configuration is managed within your repo. This fits perfectly into a team-wide rollout where security and consistency matter.

The server operates locally and only handles the review text and metadata you request. It does not store or leak your sensitive credentials.

You use the `list_reviews` tool with parameters like sentiment or starRating. This allows the agent to focus only on the feedback that matters to your current task.

Run `list_apps` to pull your entire portfolio into the editor. This gives the agent the necessary context for any app in your account.

Use it with your favorite AI tools

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