Churnkey MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Churnkey through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Churnkey "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Churnkey?"
)
print(result.data)
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.
Pydantic AI validates every Churnkey tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Churnkey MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Churnkey MCP Server
Pydantic AI provides unique advantages when paired with Churnkey through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Churnkey integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Churnkey connection logic from agent behavior for testable, maintainable code
Churnkey + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Churnkey MCP Server delivers measurable value.
Type-safe data pipelines: query Churnkey with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Churnkey tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Churnkey and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Churnkey responses and write comprehensive agent tests
Churnkey MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Churnkey to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Churnkey to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiChurnkey + Pydantic AI FAQ
Common questions about integrating Churnkey MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
