Churnkey MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Churnkey through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Churnkey Assistant",
instructions=(
"You help users interact with Churnkey. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Churnkey"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 8 tools from Churnkey through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Churnkey, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Churnkey MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Churnkey
Why Use OpenAI Agents SDK with the Churnkey MCP Server
OpenAI Agents SDK provides unique advantages when paired with Churnkey through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Churnkey + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Churnkey MCP Server delivers measurable value.
Automated workflows: build agents that query Churnkey, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Churnkey, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Churnkey tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Churnkey to resolve tickets, look up records, and update statuses without human intervention
Churnkey MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Churnkey to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Churnkey to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Churnkey + OpenAI Agents SDK FAQ
Common questions about integrating Churnkey MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.