How to Use the AskNicely MCP in Cursor

Q: How do I set up the AskNicely MCP Server in Cursor?

Add the server block to your project's .cursor/mcp.json file with your API credentials. Once saved, Cursor automatically detects the tools, allowing you to call them using Agent mode in the chat panel.

Q: Can Cursor write code to filter AskNicely contacts?

Yes, you can use the listcontacts tool in Cursor to inspect your customer list and generate custom sorting or filtering algorithms. Your agent reads the live contact schemas to write clean, working code.

Q: How do I verify my credentials in the editor?

Run the getaccountcheck tool from the Cursor chat interface. The tool queries the API and returns an instant confirmation showing whether your credentials are valid.

Write code using live AskNicely NPS metrics and customer records directly inside your Cursor editor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AskNicely MCP to Cursor

Create your Vinkius account to connect AskNicely 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.

GDPR Free for Subscribers

Setup AskNicely with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Code with live AskNicely metrics in Cursor

The `get_statistics` tool feeds raw NPS scores and response rates straight into your code editor. Cursor uses this live data to populate your UI mockups, eliminating the need to write dummy data while building customer dashboards. Your agent reads the real-time statistics payload to suggest precise TypeScript interfaces or database schemas. By running this MCP Server locally, your editor ensures your front-end code matches the exact structure of your AskNicely account data.

Auto-generate tests using real customer survey responses

The `list_responses` tool imports actual NPS comments and scores directly into your Cursor workspace. You can direct your editor to write integration tests based on real, edge-case feedback payloads rather than fabricated strings. This live context prevents bugs caused by unexpected payload structures in production. Your agent inspects the actual response fields to generate robust assertions for your data pipeline.

Trigger survey tests directly from this MCP Server

The `trigger_survey` tool dispatches an active NPS survey to a test contact while you write your application logic. You tell Cursor to run this tool to confirm your webhook receivers handle outgoing survey events correctly. This setup removes the friction of manual API testing via external clients. You execute real-world survey triggers directly from your editing session to verify your end-to-end telemetry.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "asknicely-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 AskNicely. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AskNicely now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AskNicely MCP in Cursor

Add the server block to your project's `.cursor/mcp.json` file with your API credentials. Once saved, Cursor automatically detects the tools, allowing you to call them using Agent mode in the chat panel.

Yes, you can use the `list_contacts` tool in Cursor to inspect your customer list and generate custom sorting or filtering algorithms. Your agent reads the live contact schemas to write clean, working code.

No, Cursor manages the execution of the tools natively using the configuration you define in your local JSON file. It fires up the necessary processes only when you or your agent invoke an AskNicely command.

Run the `get_account_check` tool from the Cursor chat interface. The tool queries the API and returns an instant confirmation showing whether your credentials are valid.

Yes, your NPS scores and customer contact details are transmitted directly between your local editor and the AskNicely API. No intermediary servers store or process your survey data during these tool executions.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript