Kiwify MCP Server for Pydantic AIGive Pydantic AI instant access to 9 tools to Create Notification Webhook, Delete Notification Webhook, Get Account Summary, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Kiwify through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Kiwify app connector for Pydantic AI is a standout in the Ecommerce category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Kiwify "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Kiwify?"
)
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 Kiwify MCP Server
Connect your Kiwify account to any AI agent and manage digital product sales through natural conversation.
Pydantic AI validates every Kiwify tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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
- Product Management — List products, inspect details, and track sales performance
- Order Tracking — Browse orders with status, amounts, and customer data
- Subscription Monitoring — Track active subscriptions, renewals, and churn
- Customer Database — List customers with purchase history and engagement
- Revenue Analytics — Monitor sales metrics, refund rates, and trends
The Kiwify MCP Server exposes 9 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.
All 9 Kiwify tools available for Pydantic AI
When Pydantic AI connects to Kiwify through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-products, online-courses, order-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new webhook
Remove an existing webhook
Get account information
Get details for a specific product
Get details for a specific sale
List recurring subscriptions
List your webhooks
List your Kiwify products
Supports filtering. List recent sales and transactions
Connect Kiwify to Pydantic AI via MCP
Follow these steps to wire Kiwify into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the 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 Kiwify MCP Server
Pydantic AI provides unique advantages when paired with Kiwify 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 Kiwify integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Kiwify connection logic from agent behavior for testable, maintainable code
Kiwify + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Kiwify MCP Server delivers measurable value.
Type-safe data pipelines: query Kiwify with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Kiwify tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Kiwify and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Kiwify responses and write comprehensive agent tests
Example Prompts for Kiwify in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Kiwify immediately.
"Show all products with sales performance and today's orders."
"Show active subscriptions and churn rate for this month."
"Show the customer database and top buyers."
Troubleshooting Kiwify MCP Server with Pydantic AI
Common issues when connecting Kiwify to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiKiwify + Pydantic AI FAQ
Common questions about integrating Kiwify 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.