Integrate AskNicely with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Can I trigger a survey for a new customer?

Yes, use the trigger_survey tool and provide the customer's name and email. This will add them to your contacts and send the survey immediately.

Manage customer experience and NPS surveys with AskNicely — track responses and audit sentiment via AI.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

get

Get account check on AskNicely

Verify AskNicely account connection

get

Get statistics on AskNicely

Get aggregate NPS statistics and summary

list

List contacts on AskNicely

List contacts in your AskNicely account

list

List responses on AskNicely

List NPS survey responses from AskNicely

trigger

Trigger survey on AskNicely

Add a contact and trigger a survey immediately

Security & Code Integrity Audit

Every tool in the AskNicely MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

Can I trigger a survey for a new customer?

Yes, use the trigger_survey tool and provide the customer's name and email. This will add them to your contacts and send the survey immediately.

Triggering AskNicely via Natural Language

The AskNicely MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.

Optimizing nps tracking with Claude

Connect AskNicely to provide your chatbots with nps tracking capabilities. The integration manages the backend execution for business intelligence workflows.

ChatGPT customer feedback Automation

Integrate customer feedback features into your LLM framework using AskNicely. The MCP server ensures precise command execution across your business intelligence stack.

AskNicely. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

Vercel AI SDKSDK

TypeScript toolkit for building AI-powered web applications.

Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

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