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How to Use the Zenloop MCP in VS Code Copilot

Automate support workflows for your team with VS Code Copilot: Analyze Zenloop surveys in the repo.

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VS Code Copilot

Connect Zenloop MCP to VS Code Copilot

Create your Vinkius account to connect Zenloop 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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Build Team Workflows Using MCP Server

Your entire engineering team can manage survey responses through the MCP Server. If a customer responds via email, Copilot Chat uses `create_email_answer` to log it. This process is standardized and committed alongside your code. Similarly, you can automate logging for website embeds (`create_embed_answer`) or link channels (`create_link_answer`), ensuring all service interactions are recorded consistently across the team.

Discover Available Surveys via MCP Server

Need to know what surveys your application needs to interact with? Simply call `list_surveys` and Copilot Chat provides a list of all configured Zenloop surveys. This keeps every developer on the team aligned. Furthermore, you can get deep context by running `get_survey_details`, giving everyone the full scope of what they're working with.

Process and Filter Historical Data in VS Code Copilot

The MCP Server allows your team to pull historical NPS data. Use `list_survey_answers` to fetch all responses, then filter them by date directly within the chat context. This capability means you never lose track of vital customer feedback. This function is critical for building reporting tools that need to analyze trends over time.

Setup guide

Set up Zenloop 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. 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. 2

    Add the Zenloop 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. 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. 4

    Verify the connection

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

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

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

The MCP Server exposes tools like `list_survey_answers` directly in the chat. Your team can prompt Copilot Chat to run these tools and incorporate the live results into your codebase or documentation.
You'll use `create_overlay_answer`. The tool handles the API call, and the result is available in your workspace context so you can write code against it immediately.
Yes. By running `list_surveys`, Copilot Chat pulls a complete list of every survey configured in your Zenloop account, making onboarding new developers simple.
The server touches customer feedback and response records. These are collected across multiple channels, including email embeds, website overlays, and direct links.
The server handles customer feedback. Specifically, it touches survey answers containing NPS feedback gathered from various channels like email embeds or website overlays.

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