How to Use the Durianpay MCP in AutoGen
Let AutoGen agents debate payment disputes and reconcile Durianpay transactions using this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Durianpay MCP to AutoGen
Create your Vinkius account to connect Durianpay 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 Durianpay payment disputes via AutoGen agents
The `get_payment_details` tool provides the critical transaction data your AutoGen agents need to resolve payment disputes over MCP. A support agent can call this tool to check a status, while a security agent reviews `list_failed_transactions` to look for fraud patterns. These agents debate their findings in a shared conversation thread. They only trigger a refund or update after both agree that the transaction history matches your business rules.
Automate reconciliation with specialized agents
The `quick_revenue_health_audit` tool assigns high-level transaction summaries to specialized AutoGen analyst agents. This agent runs the audit and presents the raw metrics to a manager agent, who checks the numbers against your internal targets. This division of labor keeps your operations clean. Instead of one complex prompt trying to do everything, separate AutoGen agents handle data retrieval and evaluation independently.
Search checkout orders with conversational triggers
The `search_payment_orders` tool finds specific transactions using customer names or order IDs inside your AutoGen conversation using the MCP Server. When a user asks about a missing order, the routing agent delegates the search task to the database agent. The database agent executes the search and passes the results back to the conversation. This multi-agent flow ensures that customer queries are resolved without manual human lookup.
Set up Durianpay 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 Durianpay 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="Durianpay_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Durianpay 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="Durianpay_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Durianpay 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 Durianpay. 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 Durianpay MCP in AutoGen
Use it with your favorite AI tools
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