How to Use the Delighted MCP in VS Code Copilot

Q: How do we set up Delighted for our whole team in VS Code Copilot?

Just add the server details to a .vscode/mcp.json file at the root of your repository. When team members open the project in VS Code 1.96+, Copilot will automatically detect the MCP tools.

Q: Can VS Code Copilot trigger new Delighted surveys?

Yes, your agent can use the addpersontosurvey tool to add a customer and schedule a survey invite, making it easy to automate feedback loops.

Q: Can I filter survey responses by score?

Yes. Your agent can run listrecentdetractors or listtoppromoters to instantly segment responses based on whether the customer is happy or frustrated.

Equip your engineering team to query Delighted customer feedback and NPS trends directly inside VS Code Copilot.

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Connect Delighted MCP to VS Code Copilot

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

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Share Delighted MCP tools across your team in VS Code

Commit your `.vscode/mcp.json` file to Git to give your entire engineering team instant access to customer feedback. Your agents can run these MCP tools to display real-time customer health metrics. This setup ensures everyone on the team uses the same secure endpoint. No more sharing API keys or manual exports when trying to debug customer issues.

Query customer feedback trends with your MCP Server

Stop guessing what features your users hate. Your agent runs `list_survey_responses` to grab recent scores, and then parses them to find common complaints inside your editor. If you need to isolate the happiest users, the agent calls `list_top_promoters`. This lets your team quickly identify candidates for beta testing new features.

Investigate individual customer issues instantly

When a high-priority support ticket escalates, you need context fast. Your agent uses `get_person_feedback_history` to pull that user's entire rating history directly into your sidebar. To get the full picture, the agent runs `get_response_details` to read the exact comment and channel they used to submit feedback. You can fix the bug with all the customer context right in front of you.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "delighted-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 Delighted. 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 Delighted MCP in VS Code Copilot

Just add the server details to a `.vscode/mcp.json` file at the root of your repository. When team members open the project in VS Code 1.96+, Copilot will automatically detect the MCP tools.

Yes, your agent can use the `add_person_to_survey` tool to add a customer and schedule a survey invite, making it easy to automate feedback loops.

The server handles API rate limits gracefully behind the scenes, ensuring tools like `list_feedback_contacts` don't break your workflow when querying large volumes of customer records.

Yes. Your agent can run `list_recent_detractors` or `list_top_promoters` to instantly segment responses based on whether the customer is happy or frustrated.

All customer emails, survey scores, and raw feedback comments are routed through a secure, ephemeral V8 isolate sandbox. No customer data is ever written to disk or stored on Vinkius servers.

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