Can I verify if a payment was successful?

Yes! Use the `verify_transaction` tool with the transaction reference. It will return the current status (e.g., success, failed, abandoned) and the amount paid.

How do I find a customer by their email?

You can use the `get_customer` tool and provide the customer's email address as the identifier. It will fetch their profile, customer code, and associated metadata.

Does this support checking recurring subscriptions?

Absolutely. Use the `list_subscriptions` and `get_subscription` tools to manage and monitor recurring billing for your customers.

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

Name: Paystack
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Paystack "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 Paystack MCP Server

Connect your Paystack account to any AI agent and take full control of your payment operations through natural conversation.

Pydantic AI validates every Paystack 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

Transaction Management — List all transactions, retrieve detailed metadata, and verify payment statuses using references.
Customer Oversight — List and inspect customer profiles to understand their payment history and metadata.
Subscription Tracking — Monitor active subscriptions and billing plans to maintain a clear view of recurring revenue.
Refunds & Transfers — List recent refunds and outbound transfers to keep your financial records in sync.
Plan Management — View all configured payment plans and their associated settings.

The Paystack 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 Paystack to Pydantic AI via MCP

Follow these steps to integrate the Paystack 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 10 tools from Paystack with type-safe schemas

Why Use Pydantic AI with the Paystack MCP Server

Pydantic AI provides unique advantages when paired with Paystack 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 Paystack integration code

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

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

Paystack + Pydantic AI Use Cases

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

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

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

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

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

Paystack MCP Tools for Pydantic AI (10)

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

get_customer

Get specific customer details

get_subscription

Get specific subscription details

get_transaction

Get details for a specific transaction

list_customers

List all customers

list_plans

List all payment plans

list_refunds

List all refunds

list_subscriptions

List all subscriptions

list_transactions

List Paystack transactions

list_transfers

List all transfers

verify_transaction

Verify a transaction status

Example Prompts for Paystack in Pydantic AI

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

"Check the status of transaction reference 'ref_789456'."

"List the last 5 customers registered in our Paystack account."

"How many active subscriptions do we currently have?"

Troubleshooting Paystack MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Paystack + Pydantic AI FAQ

Common questions about integrating Paystack MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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