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 CrewAI 8 tools — connect in under 2 minutes

Name: ChurnZero
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to ChurnZero through Vinkius, pass the Edge URL in the `mcps` parameter and every ChurnZero tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="ChurnZero Specialist",
    goal="Help users interact with ChurnZero effectively",
    backstory=(
        "You are an expert at leveraging ChurnZero tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ChurnZero "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, ChurnZero becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ChurnZero tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the ChurnZero MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from ChurnZero

Why Use CrewAI with the ChurnZero MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ChurnZero through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

ChurnZero + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries ChurnZero for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries ChurnZero, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ChurnZero tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ChurnZero against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

ChurnZero MCP Tools for CrewAI (8)

These 8 tools become available when you connect ChurnZero to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

ChurnZero + CrewAI FAQ

Common questions about integrating ChurnZero MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.