How to Use the GoCardless MCP in AutoGen
Run multi-agent debates in AutoGen to verify billing discrepancies and authorize GoCardless payouts with zero manual intervention.
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
The `list_payment_refunds` tool pulls reversed payments to help your agents investigate financial discrepancies. In AutoGen, a compliance agent debates a customer service agent to determine why a refund occurred. They cross-reference the data without human intervention. This MCP Server provides the raw transactional facts. Before deciding on a resolution, the agents call `get_payment_details` to verify the exact status of the disputed charge.
Audit mandate approvals automatically using AutoGen
The `get_mandate_status` tool checks the validity of direct debit setups before billing begins. An onboarding agent pulls this status and presents it to a billing agent inside your AutoGen group. They verify the mandate is active before triggering any collections. If the status is pending, the agents call `get_customer_details` to find the customer's contact info. Coordinating these steps lets the system send an automated reminder to the user.
Verify bank payouts through agent consensus
The `list_merchant_payouts` tool retrieves recent bank deposits for group review. Your audit agents compare this list against internal invoices to ensure every cent is accounted for. They must reach consensus before marking the payout as reconciled. Before finalizing, the agents run `verify_api_connection` to ensure the connection to GoCardless is stable. This step prevents partial syncs and keeps your ledger accurate.
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
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