ProfitWell MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Churn Subscription, Create Subscription, Exclude Customer, and more
GDPR Free for SubscribersPydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ProfitWell 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 for Pydantic AI
The ProfitWell MCP Server for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 ProfitWell "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in ProfitWell?"
)
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 ProfitWell MCP Server
Connect your ProfitWell (Paddle Metrics) account to any AI agent and take full control of your subscription revenue orchestration through natural conversation. ProfitWell provides a world-class platform for subscription intelligence, and this integration allows you to retrieve real-time metrics (MRR, Churn, LTV), manage customer history, and update subscription data directly from your chat interface.
Pydantic AI validates every ProfitWell tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Metric & Revenue Orchestration — Retrieve monthly and daily subscription metrics programmatically to maintain a clear overview of your business growth.
- Customer Lifecycle Intelligence — Access and monitor detailed customer history, including subscription changes and churn events directly from the AI interface.
- Subscription & Manual Data Control — Create, update, and 'un-churn' subscriptions via natural language to keep your revenue data synchronized.
- Retention & LTV Monitoring — Retrieve retention metrics and customer lifetime value (LTV) metadata to ensure your unit economics are always optimized.
- Operational Monitoring — Track system health and manage plan metadata using simple AI commands.
The ProfitWell MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 ProfitWell tools available for Pydantic AI
When Pydantic AI connects to ProfitWell through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscription-metrics, churn-analysis, mrr-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Churn subscription on ProfitWell
Mark churn event
Create subscription on ProfitWell
Add new subscriber
Exclude customer on ProfitWell
g. test accounts). Exclude from metrics
Get account status on ProfitWell
Get API status
Get customer history on ProfitWell
Get billing history
Get customer ltv on ProfitWell
Get Lifetime Value
Get daily metrics on ProfitWell
Get daily growth stats
Get monthly metrics on ProfitWell
Get monthly financial stats
Get retention stats on ProfitWell
Get churn metrics
List subscription plans on ProfitWell
List product plans
Unchurn subscription on ProfitWell
Reverse a cancellation
Update subscription on ProfitWell
Update subscription
Connect ProfitWell to Pydantic AI via MCP
Follow these steps to wire ProfitWell into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the ProfitWell MCP Server
Pydantic AI provides unique advantages when paired with ProfitWell 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 ProfitWell integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ProfitWell connection logic from agent behavior for testable, maintainable code
ProfitWell + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ProfitWell MCP Server delivers measurable value.
Type-safe data pipelines: query ProfitWell with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ProfitWell tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ProfitWell and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ProfitWell responses and write comprehensive agent tests
Example Prompts for ProfitWell in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ProfitWell immediately.
"List all monthly metrics for my account."
"Show me our MRR trend for the last 6 months with churn and expansion breakdown."
"Identify the top 10 customers at risk of churning based on engagement and usage patterns."
Troubleshooting ProfitWell MCP Server with Pydantic AI
Common issues when connecting ProfitWell to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiProfitWell + Pydantic AI FAQ
Common questions about integrating ProfitWell 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?
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