ChurnZero MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ChurnZero as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to ChurnZero. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in ChurnZero?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine ChurnZero tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the ChurnZero MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the ChurnZero MCP Server
LlamaIndex provides unique advantages when paired with ChurnZero through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ChurnZero tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ChurnZero tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ChurnZero, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ChurnZero tools were called, what data was returned, and how it influenced the final answer
ChurnZero + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ChurnZero MCP Server delivers measurable value.
Hybrid search: combine ChurnZero real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ChurnZero to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ChurnZero for fresh data
Analytical workflows: chain ChurnZero queries with LlamaIndex's data connectors to build multi-source analytical reports
ChurnZero MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect ChurnZero to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting ChurnZero to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChurnZero + LlamaIndex FAQ
Common questions about integrating ChurnZero MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect ChurnZero with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ChurnZero to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.