How to Use the CustomerGauge MCP in VS Code Copilot

Q: How do we roll out CustomerGauge to our VS Code Copilot users?

Commit a .vscode/mcp.json file to your Git repository. Every developer who checks out the code gets immediate access to the tools without manual configuration.

Equip your engineering team with the CustomerGauge MCP Server in VS Code Copilot to debug survey pipelines together.

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Connect CustomerGauge MCP to VS Code Copilot

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

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Inspect survey responses inside VS Code Copilot

The `get_response_details` tool resolves verbatim comments, respondent metadata, and driver scores right in your editor. When a bug report claims a specific survey failed to parse, you ask Copilot to fetch the exact payload that caused the issue. Finding related issues relies on `list_survey_responses` to pull recent response IDs and timestamps. Your chat interface becomes a direct window into the survey response repository, saving you a trip to the production database.

Debug customer lifecycle data with this MCP Server

Calling `get_contact_profile` resolves interaction history and individual sentiment trends for any user. If a sync job fails for a specific client, Copilot grabs their profile data so you can spot the malformed field. Mapping those individuals to companies happens via `list_account_contacts`. The agent touches the CRM boundary to list associated account links, verifying that your relational database logic matches the remote source of truth.

Query organizational performance metrics

The `get_business_unit_nps` tool resolves NPS metrics for specific divisions. Developers building executive dashboards can ask the AI to pull a sample division's data to verify the charting libraries render correctly. Rolling that up to the global level requires `get_portfolio_nps_summary`. Copilot touches the executive reporting boundary to fetch the overall account portfolio summary, ensuring your high-level aggregation functions handle the data types properly.

Setup guide

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

.vscode/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CustomerGauge. 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 CustomerGauge MCP in VS Code Copilot

Commit a `.vscode/mcp.json` file to your Git repository. Every developer who checks out the code gets immediate access to the tools without manual configuration.

The chat interface pulls interaction history and sentiment trends directly from the API. You just provide an identifier and ask the agent to fetch the details.

It queries the indexed text search boundary using your provided terms. The agent returns matching feedback entries straight to your chat panel.

You must switch the chat interface to Agent mode for the system to execute external MCP Server calls. Standard chat only references your local codebase.

Vinkius handles the authorization layer using a single endpoint token and routes traffic through a strict V8 sandbox. Your customer feedback entries are transmitted securely to the IDE and never logged in the marketplace infrastructure.

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