Churnkey 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 Churnkey 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 Churnkey. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Churnkey?"
)
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 Churnkey MCP Server
Connect your Churnkey account to any AI agent and take full control of your customer retention and cancellation automation through natural conversation. Streamline how you handle churn and recover failed payments.
LlamaIndex agents combine Churnkey 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
- Session Oversight — List and retrieve details for all customer cancellation flow sessions natively
- Aggregation Intelligence — Access grouped session counts to identify trends in churn reasons flawlessly
- Recovery Logistics — Update and manage billing recovery contacts for specific customers securely
- Retention Deep-Dives — List all cancellation sessions for a specific customer to understand their history flawlessly
- Compliance Management — Access and delete customer data for GDPR requests directly within your workspace flawlessly
- Data Logistics — Retrieve session metadata including offer types (discounts, pauses) and billing intervals flawlessly
The Churnkey 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 Churnkey to LlamaIndex via MCP
Follow these steps to integrate the Churnkey 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 Churnkey
Why Use LlamaIndex with the Churnkey MCP Server
LlamaIndex provides unique advantages when paired with Churnkey through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Churnkey tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Churnkey tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Churnkey, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Churnkey tools were called, what data was returned, and how it influenced the final answer
Churnkey + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Churnkey MCP Server delivers measurable value.
Hybrid search: combine Churnkey real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Churnkey 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 Churnkey for fresh data
Analytical workflows: chain Churnkey queries with LlamaIndex's data connectors to build multi-source analytical reports
Churnkey MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Churnkey to LlamaIndex via MCP:
bulk_update_billing_contacts
Update billing recovery contacts for multiple customers at once
delete_customer_gdpr_data
Delete all data for a customer for GDPR compliance
get_customer_gdpr_data
Access all data stored for a customer for GDPR compliance
get_retention_session_details
Get details for a specific cancellation session
get_session_aggregates
Retrieve grouped session counts
list_customer_retention_history
List all cancellation sessions for a specific customer
list_retention_sessions
List cancellation flow sessions
update_billing_contacts
Update recovery contacts for a specific customer
Example Prompts for Churnkey in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Churnkey immediately.
"Show me the last 5 cancellation sessions in Churnkey."
"What are the session aggregates for this month?"
"List all retention sessions for customer 'cust_123'."
Troubleshooting Churnkey MCP Server with LlamaIndex
Common issues when connecting Churnkey to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpChurnkey + LlamaIndex FAQ
Common questions about integrating Churnkey 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 Churnkey 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 Churnkey to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.