How to Use the Bold MCP in AutoGen
Let your AutoGen agents debate fraud risks and coordinate physical Bold terminal checkouts using this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bold MCP to AutoGen
Create your Vinkius account to connect Bold 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.
Coordinate physical checkouts via agent consensus
Deploy a multi-agent system using this MCP Server where a retail agent and a finance agent negotiate terminal usage. Your AutoGen agents can query active hardware using `list_terminals` and coordinate physical checkouts. Once both agents agree the hardware is online and the account is active, the retail agent triggers `initiate_terminal_payment` with the target serial number and COP amount. This prevents hardware conflicts and ensures terminal payments only occur under optimal conditions.
Debating Colombian anti-fraud rules in AutoGen
Your billing agent can execute payments using `create_online_payment` once your compliance agent approves the card tokenization and payer information. Preventing fraudulent online payments is easier when a dedicated compliance agent audits transaction payloads before they execute. If the compliance agent approves the card tokenization and payer information, the billing agent executes the payment. If flagged, a customer-service agent is brought into the AutoGen conversation to trigger `create_payment_link` as a secure fallback.
Multi-agent refund dispute resolution
Your support agent can pull the transaction details using `get_transaction` while a risk agent reviews the refund history to check for suspicious patterns. This sets up a structured debate to handle refund requests automatically. If both agents reach a consensus that the request is valid, the support agent calls `refund_payment` to return the COP amount. The system then automatically configures a temporary webhook using `create_webhook` to listen for the settlement confirmation.
Set up Bold 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 Bold 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="Bold_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Bold 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="Bold_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Bold 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 Bold. 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 Bold MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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