How to Use the ClearSale MCP in AutoGen
Deploy multi-agent AutoGen teams to debate fraud risks and manage ClearSale order statuses autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ClearSale MCP to AutoGen
Create your Vinkius account to connect ClearSale 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.
AutoGen consensus for ClearSale MCP Server
Fraud prevention rarely has obvious answers. With AutoGen, you can spin up a risk-averse security agent and a conversion-focused sales agent. When a new transaction arrives, the security agent runs `submit_order_fraud_analysis` to get the baseline score. The two agents then debate the result. The sales agent might point out the customer's lifetime value, while the risk agent flags the high API score. They negotiate until they reach a consensus on whether to approve or reject the cart.
Audit recent transactions via agent collaboration
You can assign a dedicated auditor agent to monitor your store's recent activity. This agent periodically executes `list_recent_fraud_analyses` to gather a batch of recent decisions. If the auditor spots a concerning trend, it alerts a manager agent. The manager can then use `get_order_fraud_status` to drill down into specific flagged orders, analyzing the exact reasons for the manual review holds.
Execute decisions after team agreement
Once your multi-agent system agrees on a course of action, an executor agent takes over. If the consensus is to kill a suspicious transaction, the executor fires `update_clearsale_order_status` to mark it as cancelled. You can also have a system health agent occasionally run `get_clearsale_account_info`. This ensures the entire multi-agent framework has active API connectivity before starting a heavy round of transaction debates.
Set up ClearSale 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 ClearSale 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="ClearSale_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent ClearSale 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="ClearSale_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent ClearSale 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 ClearSale. 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 ClearSale MCP in AutoGen
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