GoCardless MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GoCardless through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="GoCardless Assistant",
instructions=(
"You help users interact with GoCardless. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from GoCardless"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 12 tools from GoCardless through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries GoCardless, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the GoCardless MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from GoCardless
Why Use OpenAI Agents SDK with the GoCardless MCP Server
OpenAI Agents SDK provides unique advantages when paired with GoCardless through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
GoCardless + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the GoCardless MCP Server delivers measurable value.
Automated workflows: build agents that query GoCardless, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries GoCardless, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through GoCardless tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query GoCardless to resolve tickets, look up records, and update statuses without human intervention
GoCardless MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect GoCardless to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting GoCardless to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
GoCardless + OpenAI Agents SDK FAQ
Common questions about integrating GoCardless MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect GoCardless with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GoCardless to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
