How do I find my Afterpay Merchant credentials?

Log in to your Afterpay Merchant Portal, go to **Settings** > **API**. You can generate and retrieve your **Merchant ID** and **Secret Key** there. Make sure to choose the correct region (US, AU, UK).

Can I process a partial refund via the agent?

Yes! Use the `refund_payment` tool and provide the `orderId` and the specific amount. Your agent will submit the partial refund request to Afterpay for processing.

What is the difference between Capture and Auth?

'Capture' finalizes the payment immediately. 'Auth' (Authorization) holds the funds on the customer's account, and you must call the capture tool later (usually when shipping) to finalize the transaction.

Afterpay MCP Server for CrewAI 5 tools — connect in under 2 minutes

Name: Afterpay
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

Connect your CrewAI agents to Afterpay through Vinkius, pass the Edge URL in the `mcps` parameter and every Afterpay tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Afterpay Specialist",
    goal="Help users interact with Afterpay effectively",
    backstory=(
        "You are an expert at leveraging Afterpay tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Afterpay "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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 Afterpay MCP Server

Connect your Afterpay (Clearpay) merchant account to your AI agent to unlock enterprise-grade BNPL (Buy Now, Pay Later) orchestration. From creating secure checkout tokens to monitoring payment statuses and processing partial refunds, your agent handles your financial transactions through natural conversation.

When paired with CrewAI, Afterpay becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Afterpay tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Checkout Orchestration — Create new checkout sessions and retrieve secure redirect tokens for your customers
Payment Monitoring — List and audit historical payments, check capture statuses, and retrieve technical metadata
Refund Management — Initiate full or partial refunds for specific orders directly from your chat interface
Configuration Audit — Retrieve merchant-specific configuration including minimum and maximum order limits
Transaction Insights — Quickly identify successful captures or pending authorizations without manual dashboard exports

The Afterpay MCP Server exposes 5 tools through the Vinkius. Connect it to CrewAI 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 Afterpay to CrewAI via MCP

Follow these steps to integrate the Afterpay MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 5 tools from Afterpay

Why Use CrewAI with the Afterpay MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Afterpay through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Afterpay + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Afterpay MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Afterpay for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Afterpay, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Afterpay tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Afterpay against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Afterpay MCP Tools for CrewAI (5)

These 5 tools become available when you connect Afterpay to CrewAI via MCP:

create_checkout

The amount must fall within the configured limits. Initiate a secure Afterpay BNPL payment session token for a customer transaction

get_afterpay_config

Retrieve the minimum and maximum order transaction limits enforced by your Afterpay merchant account

get_payment_details

Retrieve detailed financial status, settlement info, and logs for a specific Afterpay order ID

list_payments

Retrieve historical BNPL transactions and authorizations securely from your Afterpay account

refund_payment

Always verify the remaining balance before refunding. Initiate a full or partial refund to immediately credit a consumer against a previously captured Afterpay order

Example Prompts for Afterpay in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Afterpay immediately.

"Create an Afterpay checkout session for $100.00."

"Check the status of order ID '12345678'."

"Show me my current Afterpay order limits."

Troubleshooting Afterpay MCP Server with CrewAI

Common issues when connecting Afterpay to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Afterpay + CrewAI FAQ

Common questions about integrating Afterpay MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.