How do I get an Access Token for GoCardless?

Log in to your GoCardless dashboard, navigate to Developers > Access Tokens, and you can generate a new token for either Sandbox or Live use there.

What is a 'Mandate' in GoCardless?

A mandate is an authorization from your customer that allows you to collect payments from their bank account automatically in the future.

In what units should I provide the payment amount?

The API uses minor units for currency. For example, to collect $1.00 USD (or £1.00 GBP), you must provide the value 100 (cents/pence).

Can I test this without using real money?

Yes! Use the 'sandbox' environment by setting the 'Environment' credential and providing a Sandbox Access Token from your GoCardless account.

GoCardless MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: GoCardless
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to GoCardless through Vinkius, pass the Edge URL in the `mcps` parameter and every GoCardless 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="GoCardless Specialist",
    goal="Help users interact with GoCardless effectively",
    backstory=(
        "You are an expert at leveraging GoCardless 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 GoCardless "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 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 GoCardless MCP Server

Connect your GoCardless merchant account to any AI agent to automate your direct debit payments and customer mandates through the Model Context Protocol (MCP). GoCardless is the global leader in bank-to-bank payments, simplifying the collection of recurring and one-off payments. This MCP server enables you to retrieve customer records, track mandate authorizations, manage payment collections, and monitor bank payouts directly through natural conversation.

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

Key Features

Customer & Bank Oversight — List all customers registered in your system and fetch detailed profile and bank account metadata instantly.
Mandate Management — Access and track customer authorizations (mandates) to ensure you have the legal right to collect payments.
Payment Orchestration — List all direct debit collections, track their status (confirmed, failed), and programmatically initiate new payments against active mandates.
Subscription Insights — Retrieve active and inactive recurring payment plans to understand your predictable revenue health.
Payout Tracking — Access a complete list of funds being sent from GoCardless to your own bank account for easy reconciliation.
Refund Visibility — Monitor processed refunds and reversed payments to maintain an accurate financial audit trail.
Real-time Synchronization — Keep your bank-to-bank payment data accessible to your AI assistant without leaving your primary workspace.

The GoCardless MCP Server exposes 12 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 GoCardless to CrewAI via MCP

Follow these steps to integrate the GoCardless 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 12 tools from GoCardless

Why Use CrewAI with the GoCardless MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with GoCardless 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

GoCardless + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries GoCardless 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 GoCardless, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain GoCardless 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 GoCardless against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

GoCardless MCP Tools for CrewAI (12)

These 12 tools become available when you connect GoCardless to CrewAI via MCP:

create_new_payment

Initiate a collection

get_account_details

Get account identity

get_customer_details

Get customer metadata

get_mandate_status

Check mandate details

get_payment_details

Get payment metadata

list_direct_debit_payments

List all payments

list_merchant_payouts

List bank payouts

list_payment_customers

List all customers

list_payment_mandates

List active mandates

list_payment_refunds

List reversed payments

list_recurring_subscriptions

List recurring plans

verify_api_connection

Check connection

Example Prompts for GoCardless in CrewAI

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

"List all my payments that are currently 'pending_submission'."

"Check the status of mandate 'MD12345'."

"Show me the last 3 payouts sent to my bank account."

Troubleshooting GoCardless MCP Server with CrewAI

Common issues when connecting GoCardless 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.

GoCardless + CrewAI FAQ

Common questions about integrating GoCardless 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.