Churnkey MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Churnkey through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"churnkey": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Churnkey, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Churnkey through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Churnkey MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Churnkey via MCP
Why Use LangChain with the Churnkey MCP Server
LangChain provides unique advantages when paired with Churnkey through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Churnkey MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Churnkey queries for multi-turn workflows
Churnkey + LangChain Use Cases
Practical scenarios where LangChain combined with the Churnkey MCP Server delivers measurable value.
RAG with live data: combine Churnkey tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Churnkey, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Churnkey tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Churnkey tool call, measure latency, and optimize your agent's performance
Churnkey MCP Tools for LangChain (8)
These 8 tools become available when you connect Churnkey to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Churnkey to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersChurnkey + LangChain FAQ
Common questions about integrating Churnkey MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.