How to Use the Nicereply MCP in Cursor

Q: How do I add Nicereply to my Cursor editor?

Add the server configuration to your project's .cursor/mcp.json file or your global settings. Once configured, this MCP Server lets you enable Agent mode in the chat sidebar to let the editor invoke the tools.

Q: How does Nicereply help me test customer data integrations in Cursor?

It eliminates the need for mock payloads. Your agent calls listcustomers and getcustomer to pull real profiles, letting you verify that your data pipelines handle actual customer structures.

Q: Can I inspect rating scales directly in my editor?

Yes, you can query the scales at any time. Your agent uses getratingvalues to verify the range of possible scores, allowing you to write precise validation logic for incoming feedback.

Write code that acts on live customer feedback by connecting Nicereply to your Cursor agent.

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Connect Nicereply MCP to Cursor

Create your Vinkius account to connect Nicereply 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 Nicereply with Cursor

Ask AI about this MCP

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Claude

Perplexity

Write code with live customer data

The `list_responses` tool injects actual customer feedback records directly into your active coding session. Instead of writing code against mock data, your Cursor agent pulls live ratings to help you build and test your customer success integrations. This live context means you write fewer bugs when building custom internal tools. Your agent uses `get_response` to inspect the structure of real payloads, ensuring your parsers handle actual API structures correctly on the first run.

Build dashboards using this MCP Server

The `get_survey_stats` tool feeds aggregate rating metrics directly to your agent while you build custom analytics views. You can write frontend components that display real-time CSAT or NPS trends without manual API testing. Combine these stats with `list_surveys` to let your agent automatically generate dynamic dropdowns or navigation menus based on your active feedback campaigns. You get a working interface wired to live statistics in minutes.

Map feedback to internal users

The `list_users` tool exposes your workspace support agents directly to your coding environment. This lets your agent write logic that associates specific customer ratings with the correct support engineers. Use `get_me` to verify the active API credentials during testing, then deploy `get_rating_values` to map raw numbers to qualitative labels. It makes building automated routing rules for bad reviews simple and predictable.

Setup guide

Set up Nicereply 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 Nicereply 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 Nicereply transactions." If the MCP tools are loaded correctly, Cursor will call the Nicereply tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "nicereply-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 Nicereply. 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.

Why Choose Vinkius

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Common questions about Nicereply MCP in Cursor

Add the server configuration to your project's `.cursor/mcp.json` file or your global settings. Once configured, this MCP Server lets you enable Agent mode in the chat sidebar to let the editor invoke the tools.

Yes, the editor can fetch live data during a chat session. Your agent runs `get_survey_stats` to inspect the current response data and writes code tailored to those exact metrics.

It eliminates the need for mock payloads. Your agent calls `list_customers` and `get_customer` to pull real profiles, letting you verify that your data pipelines handle actual customer structures.

Yes, you can query the scales at any time. Your agent uses `get_rating_values` to verify the range of possible scores, allowing you to write precise validation logic for incoming feedback.

Absolutely, because this MCP integration runs all API calls through a secure, ephemeral V8 isolate. Your customer details, email addresses, and survey responses are never cached or used for training model weights.

Use it with your favorite AI tools

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

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