How to Use the Delighted MCP in Cursor

Q: How do I configure Delighted inside Cursor?

Add the server to your project-level .cursor/mcp.json or your global configuration file. Once added, enable Agent mode in your chat sidebar to let Cursor run the MCP tools.

Q: Can Cursor automatically draft responses to bad Delighted reviews?

Yes. Your agent can run listrecentdetractors to find low scores, then write personalized response templates using the specific customer complaints it finds.

Q: Can I pull raw customer comments into my workspace?

Yes, the getrecentcustomercomments tool lets your agent grab the latest written feedback so you can analyze user pain points while you refactor code.

Write code using real NPS feedback and customer sentiment data directly inside Cursor with this dedicated MCP integration.

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Connect Delighted MCP to Cursor

Create your Vinkius account to connect Delighted to Cursor 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 Cursor

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Build features using live Delighted NPS data in Cursor

Stop writing mock APIs when building your internal support dashboards. Cursor uses the `get_nps_metrics_summary` tool to pull real, live customer feedback scores directly into your active workspace. Having actual data means your agent can write and test components that render real promoter distributions. You don't have to guess the shape of the payload anymore.

Automate user survey triggers while writing code

When you are writing a new checkout or signup flow, you can test the exact trigger points right away. The agent uses `add_person_to_survey` to queue up real survey requests during your development loop. You can also inspect the existing user base by calling `list_feedback_contacts` to make sure your test accounts don't overlap with real production users. It keeps your testing safe and clean.

Debug customer complaints directly from your editor

When a bug report comes in, you don't need to open a browser tab to find the context. Your agent uses `search_responses_by_comment` to pull the exact feedback that matches the issue you are debugging. By calling `get_person_feedback_history`, Cursor gets the full timeline of that customer's scores. You see exactly what went wrong and what else they complained about, all while staying in your code editor.

Setup guide

Set up Delighted MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Delighted MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Delighted transactions." If the MCP tools are loaded correctly, Cursor will call the Delighted tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "delighted-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 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 Cursor

Add the server to your project-level `.cursor/mcp.json` or your global configuration file. Once added, enable Agent mode in your chat sidebar to let Cursor run the MCP tools.

Yes. Your agent can run `list_recent_detractors` to find low scores, then write personalized response templates using the specific customer complaints it finds.

It does. You can run the server locally via stdio or connect to the managed Vinkius endpoint to securely query your real survey metrics without leaving the editor.

Yes, the `get_recent_customer_comments` tool lets your agent grab the latest written feedback so you can analyze user pain points while you refactor code.

Absolutely. Your customer survey comments, scores, and email addresses pass through an isolated, zero-trust sandbox that holds zero persistent data, keeping your sensitive user feedback completely private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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