How to Use the GetFeedback MCP in VS Code Copilot

Q: Can I filter GetFeedback data in VS Code Copilot?

Use listcompletedfeedback to filter for finished responses. It helps you focus only on data that is ready for analysis.

Q: What happens if GetFeedback hits a rate limit in VS Code Copilot?

The checkapilimits tool will return your current status. You'll see exactly how many calls you have remaining before you need to slow down.

Deploy survey tools across your engineering team using VS Code Copilot for consistent data access.

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Connect GetFeedback MCP to VS Code Copilot

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

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Shared survey tools for VS Code Copilot

Commit your `.vscode/mcp.json` file to the repo to give everyone on the team the same access. This makes working with `list_completed_feedback` a standard practice. Everyone can pull the same metrics using `get_survey_stats`. It keeps the team aligned on current customer sentiment.

Automated reporting in VS Code Copilot

Use `list_recent_feedback` to generate daily reports on user sentiment. Your agent can process this data to highlight top issues. Calling `get_response_details` provides the granular info you need for specific tickets. It helps you resolve customer issues without leaving the editor.

Enterprise monitoring in VS Code Copilot

The `check_api_limits` tool is essential for team-wide usage. It prevents multiple agents from exceeding your organization's API quota. Run `verify_api_connection` to ensure the team's access is healthy. It's a quick way to rule out networking issues during a sprint.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "getfeedback-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 GetFeedback. 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 GetFeedback MCP in VS Code Copilot

Add the server to your .vscode/mcp.json file. Once committed, your team can use the tools in Agent mode after a quick reload.

Yes, by sharing the configuration file, every developer gets access to the same survey tools. It ensures consistent data access across the team.

Use `list_completed_feedback` to filter for finished responses. It helps you focus only on data that is ready for analysis.

The server transmits only the necessary survey response text and metadata. It maintains compliance by not caching data beyond the current session.

The `check_api_limits` tool will return your current status. You'll see exactly how many calls you have remaining before you need to slow down.

Use it with your favorite AI tools

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