Recharge MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Cancel Subscription, Get Customer, Get Order, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Recharge 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 Recharge app connector for Pydantic AI is a standout in the Money Moves category — giving your AI agent 11 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 Recharge "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Recharge?"
)
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 Recharge MCP Server
Connect your Recharge account to any AI agent and simplify your subscription management and recurring billing workflows through natural conversation.
Pydantic AI validates every Recharge tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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
- Subscription Management — List all active and cancelled subscriptions, retrieve detailed metadata, and update parameters programmatically
- Customer Database — Query your database of subscribers and retrieve detailed profile and billing info
- Order Tracking — Monitor processed subscription orders and stay on top of your fulfillment pipeline
- Financial Insights — Access processed charges and billing history to understand your recurring revenue
- Direct Control — Modify subscription quantities and scheduled charge dates without manual dashboard navigation
The Recharge MCP Server exposes 11 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 11 Recharge tools available for Pydantic AI
When Pydantic AI connects to Recharge through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriptions, recurring-billing, shopify-subscriptions, 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.
Cancel a subscription
Get details for a specific customer
Get details for a specific order
Get details for a specific subscription
List billing charges
List Recharge customers
List all subscription products
List customer addresses
List processed orders
List Recharge subscriptions
Update an existing subscription
Connect Recharge to Pydantic AI via MCP
Follow these steps to wire Recharge 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 Recharge MCP Server
Pydantic AI provides unique advantages when paired with Recharge 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 Recharge integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Recharge connection logic from agent behavior for testable, maintainable code
Recharge + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Recharge MCP Server delivers measurable value.
Type-safe data pipelines: query Recharge with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Recharge tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Recharge and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Recharge responses and write comprehensive agent tests
Example Prompts for Recharge in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Recharge immediately.
"List all active subscriptions in Recharge."
"Show me all active subscriptions that are due for renewal in the next 7 days."
"Show me the churn analysis for the last 30 days with cancellation reasons."
Troubleshooting Recharge MCP Server with Pydantic AI
Common issues when connecting Recharge to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiRecharge + Pydantic AI FAQ
Common questions about integrating Recharge 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.