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 LangChain 12 tools — connect in under 2 minutes

Name: GoCardless
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GoCardless through the 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({
        "gocardless": {
            "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 GoCardless, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 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.

LangChain's ecosystem of 500+ components combines seamlessly with GoCardless through native MCP adapters. Connect 12 tools via the 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.

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 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 GoCardless to LangChain via MCP

Follow these steps to integrate the GoCardless 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 12 tools from GoCardless via MCP

Why Use LangChain with the GoCardless MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine GoCardless 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 GoCardless queries for multi-turn workflows

GoCardless + LangChain Use Cases

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

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

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

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

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

GoCardless MCP Tools for LangChain (12)

These 12 tools become available when you connect GoCardless to LangChain 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 LangChain

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GoCardless + LangChain FAQ

Common questions about integrating GoCardless 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.