How do I find my AskNicely API Key?

Log in to your AskNicely account, go to **Settings > API**, and you will find your API Key listed there. Copy it and paste it below.

What is the 'domain' in AskNicely?

The domain is your AskNicely subdomain (e.g., if your URL is `mycompany.asknice.ly`, your domain is `mycompany`).

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.

AskNicely MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: AskNicely
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AskNicely through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to AskNicely "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in AskNicely?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About AskNicely MCP Server

The AskNicely MCP Server provides a powerful natural language interface to your customer experience platform. Empower your AI agent to monitor your Net Promoter Score (NPS), retrieve real-time user feedback, and manage your contact survey workflows seamlessly.

Pydantic AI validates every AskNicely tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Key Capabilities

NPS Monitoring — Retrieve your aggregate NPS statistics and track changes in customer sentiment over time.
Response Analysis — Access detailed survey responses, including scores and customer comments, to identify pain points and success stories.
Contact Management — List and audit your contact database, including when users were last surveyed.
Survey Automation — Trigger new surveys for specific customers directly from your chat interface to capture immediate feedback.
Real-time Statistics — Get instant summaries of your customer experience metrics without manual dashboard exports.
Secure API Access — Uses your AskNicely API Key for safe and authenticated communication.

The AskNicely MCP Server exposes 5 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect AskNicely to Pydantic AI via MCP

Follow these steps to integrate the AskNicely MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 5 tools from AskNicely with type-safe schemas

Why Use Pydantic AI with the AskNicely MCP Server

Pydantic AI provides unique advantages when paired with AskNicely through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AskNicely integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your AskNicely connection logic from agent behavior for testable, maintainable code

AskNicely + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the AskNicely MCP Server delivers measurable value.

Type-safe data pipelines: query AskNicely with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple AskNicely tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query AskNicely and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock AskNicely responses and write comprehensive agent tests

AskNicely MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect AskNicely to Pydantic AI via MCP:

get_account_check

Verify AskNicely account connection

get_statistics

Get aggregate NPS statistics and summary

list_contacts

List contacts in your AskNicely account

list_responses

List NPS survey responses from AskNicely

trigger_survey

Add a contact and trigger a survey immediately

Example Prompts for AskNicely in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with AskNicely immediately.

"Show me our current NPS statistics."

"List the last 5 survey responses with comments."

"Trigger an NPS survey for 'Jane Smith' at 'jane@example.com'."

Troubleshooting AskNicely MCP Server with Pydantic AI

Common issues when connecting AskNicely to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AskNicely + Pydantic AI FAQ

Common questions about integrating AskNicely MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your AskNicely MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.