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Durianpay MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Durianpay through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 Durianpay "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Durianpay?"
    )
    print(result.data)

asyncio.run(main())
Durianpay
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Durianpay MCP Server

Integrate Durianpay, the fully integrated payment platform, directly into your AI workflow. Manage your inbound payments and transactions, track checkout orders and payment links, monitor customer profiles and interaction history, and oversee your payment settlements using natural language.

Pydantic AI validates every Durianpay tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

  • Payment Oversight — List and retrieve detailed information and processing status for all your received transactions.
  • Order Intelligence — Monitor checkout orders, including line items, expiration settings, and active payment links.
  • Customer Management — Track registered customer profiles, contact details, and lifetime transaction counts across your organization.
  • Revenue Auditing — Retrieve high-level summaries of payment activity, success rates, and identified failed transactions instantly.

The Durianpay MCP Server exposes 10 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 Durianpay to Pydantic AI via MCP

Follow these steps to integrate the Durianpay MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Durianpay with type-safe schemas

Why Use Pydantic AI with the Durianpay MCP Server

Pydantic AI provides unique advantages when paired with Durianpay through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Durianpay integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Durianpay connection logic from agent behavior for testable, maintainable code

Durianpay + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Durianpay MCP Server delivers measurable value.

01

Type-safe data pipelines: query Durianpay with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Durianpay tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Durianpay and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Durianpay responses and write comprehensive agent tests

Durianpay MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Durianpay to Pydantic AI via MCP:

01

get_durianpay_account_metadata

Retrieve metadata and usage limits for your Durianpay account

02

get_payment_details

Get detailed information and lifecycle status for a specific payment

03

get_payment_order_details

Get detailed information for a specific checkout order

04

list_durianpay_payments

List all payments received in your Durianpay account

05

list_failed_transactions

Identify payments that were declined or failed (mock logic)

06

list_latest_transactions

Identify the most recently received payments

07

list_payment_orders

List all checkout orders created in your Durianpay account

08

list_registered_customers

List all customers registered in your Durianpay organization

09

quick_revenue_health_audit

Retrieve a high-level summary of payment activity and success rates

10

search_payment_orders

Search for orders using an order ID or customer name keyword

Example Prompts for Durianpay in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Durianpay immediately.

01

"List the latest payments received."

02

"Show me the details for order 'ORD-9988'."

03

"Check for any failed transactions today."

Troubleshooting Durianpay MCP Server with Pydantic AI

Common issues when connecting Durianpay to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Durianpay + Pydantic AI FAQ

Common questions about integrating Durianpay MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Durianpay MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Durianpay to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.