How to Use the GoCardless MCP in AutoGen
Coordinate multi-agent billing debates in AutoGen with this MCP Server to safely verify and execute GoCardless payments.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GoCardless MCP to AutoGen
Create your Vinkius account to connect GoCardless to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Resolve billing disputes via multi-agent debate
Managing disputed charges uses `list_system_events` and `list_payment_history` to feed raw transaction logs into an AutoGen conversation. A customer service agent and an audit agent debate whether a refund is warranted based on the bank clearance log. The agents analyze the timeline of events before reaching a consensus. This prevents automated systems from issuing premature refunds on payments that have not fully cleared the bank network.
Safely execute payments with an MCP Server
Initiating direct debit collections requires using `collect_payment` and `create_new_customer` inside a multi-agent validation loop. A risk-assessment agent verifies customer details while a billing agent prepares the transaction payload. Only when both agents agree on the mandate validity does the system execute the payment. This multi-step verification process drastically reduces the risk of accidental drafts or incorrect collection amounts.
Manage and cancel pending bank payments
Stopping incorrect transactions uses `stop_pending_payment` and `get_payment_status` to intercept drafts before they settle. An operations agent monitors customer cancellation requests and coordinates with the bank-facing agent to halt the draft. This collaborative check ensures that pending collections are only canceled if the bank clearing window is still open. It saves your operations team from manual ledger corrections and customer support headaches.
Set up GoCardless MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes GoCardless tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="GoCardless_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent GoCardless data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="GoCardless_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent GoCardless data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoCardless. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about GoCardless MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the GoCardless MCP today
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