Can I see the health score for a specific account?

Yes! Use the `get_account_success_details` tool with the unique account External ID. The agent will return the churn score, health metrics, and current status from ChurnZero.

How do I check which success playbooks are currently active?

Use the `list_success_playbooks` tool. Your agent will fetch all configured playbooks, allowing you to identify which automation flows are currently running.

Where do I find my ChurnZero App Key?

Log in to ChurnZero, go to the **Admin** section, and look for **Application Keys**. You can generate a new App Key there for API access.

ChurnZero MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: ChurnZero
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ChurnZero 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 ChurnZero "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ChurnZero?"
    )
    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 ChurnZero MCP Server

Connect your ChurnZero account to any AI agent and take full control of your customer success operations through natural conversation. Streamline how you manage account health and retention workflows.

Pydantic AI validates every ChurnZero tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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.

What you can do

Account Oversight — List and retrieve details for all customer accounts, including churn scores and health metrics natively
Contact Intelligence — Access and monitor customer contact information and interaction history flawlessly
Event Tracking — Log custom customer events and activities to refine health scoring securely
Communication Auditing — List and review messages and automated communications sent to customers flawlessly
Success Logistics — Monitor active playbooks and customer success journeys in real-time
Alert Visibility — Access and review active success alerts to identify accounts needing immediate attention directly within your workspace

The ChurnZero MCP Server exposes 8 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 ChurnZero to Pydantic AI via MCP

Follow these steps to integrate the ChurnZero 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 8 tools from ChurnZero with type-safe schemas

Why Use Pydantic AI with the ChurnZero MCP Server

Pydantic AI provides unique advantages when paired with ChurnZero 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 ChurnZero integration code

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

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

ChurnZero + Pydantic AI Use Cases

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

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

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

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

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

ChurnZero MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect ChurnZero to Pydantic AI via MCP:

get_account_success_details

Get detailed information for a specific account

list_churnzero_accounts

List all customer accounts

list_churnzero_alerts

List active customer success alerts

list_churnzero_contacts

List all customer contacts

list_customer_journeys

List active customer success journeys

list_customer_messages

List messages and communications sent to customers

list_success_playbooks

List active customer success playbooks

track_account_event

Track a customer event or activity

Example Prompts for ChurnZero in Pydantic AI

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

"Show me the accounts with the highest churn risk."

"What are the latest customer success alerts?"

"Track a 'Feature Training Completed' event for account 'ACME-123'."

Troubleshooting ChurnZero MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ChurnZero + Pydantic AI FAQ

Common questions about integrating ChurnZero 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 ChurnZero MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.