How to Use the Hyperswitch MCP in AutoGen
Let AutoGen agents debate payment routing, dispute responses, and payout verification using Hyperswitch tools.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hyperswitch MCP to AutoGen
Create your Vinkius account to connect Hyperswitch 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 payouts using AutoGen agents
AutoGen lets you build a multi-agent system where different agents handle different parts of your finance pipeline. One agent can pull transaction logs using `list_payouts`, while a security agent reviews the details via `get_payout` using our MCP Server. Before any money moves, the agents debate the transaction safety in a shared chat. If the security agent flags a risk, it halts the process, avoiding costly payout errors without requiring constant human oversight.
Automated dispute resolution loops
Let your agents fight chargebacks. A monitoring agent uses `list_disputes` to catch new challenges, while a researcher agent calls `get_customer` and `list_payments` using the Hyperswitch MCP integration. A third agent reviews the collected evidence against the requirements from `get_dispute`. They negotiate the best response strategy, ensuring you submit highly defensible evidence to your payment processors.
Real-time refund verification
When a customer requests a refund, your AutoGen agents spring into action. A customer service agent looks up the transaction using `get_payment`, while a compliance agent checks refund limits with `list_refunds` and `get_refund`. They cross-reference the data to ensure the refund amount matches the original charge and doesn't violate your terms. Once they reach a consensus, the system approves the transaction with zero manual delay.
Set up Hyperswitch 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 Hyperswitch 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="Hyperswitch_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Hyperswitch 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="Hyperswitch_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Hyperswitch 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 Hyperswitch. 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 Hyperswitch MCP in AutoGen
Use it with your favorite AI tools
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