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 LangChain 10 tools — connect in under 2 minutes

Name: Paystack
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Paystack through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "paystack": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Paystack, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LangChain's ecosystem of 500+ components combines seamlessly with Paystack through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Paystack MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Paystack via MCP

Why Use LangChain with the Paystack MCP Server

LangChain provides unique advantages when paired with Paystack through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Paystack MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Paystack queries for multi-turn workflows

Paystack + LangChain Use Cases

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

RAG with live data: combine Paystack tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Paystack, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Paystack tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Paystack tool call, measure latency, and optimize your agent's performance

Paystack MCP Tools for LangChain (10)

These 10 tools become available when you connect Paystack to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Paystack + LangChain FAQ

Common questions about integrating Paystack MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.