How to Use the Loyverse MCP in AutoGen
Let your AutoGen agents debate and analyze Loyverse sales trends to make consensus-driven retail decisions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Loyverse MCP to AutoGen
Create your Vinkius account to connect Loyverse 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.
Run multi-agent sales audits in AutoGen
Analyze transaction logs with the `l_list_receipts` tool to run multi-agent debates on Loyverse sales data. Set up a debate between an AutoGen inventory agent and a finance agent using Loyverse data. The finance agent pulls transaction logs using `l_list_receipts`, while the inventory agent cross-references those numbers with physical Loyverse stock. They work together in AutoGen to flag Loyverse discrepancies without human intervention.
Coordinate multi-store logistics automatically
Identify physical shops using `l_list_locations` to coordinate Loyverse inventory logistics across multiple AutoGen agents. Assign one AutoGen agent to each of your physical Loyverse retail outlets. By using `l_list_locations`, your AutoGen supervisor agent assigns local data-gathering tasks to regional sub-agents. These regional AutoGen agents run `l_list_items` to pull stock levels for their specific Loyverse shops before negotiating transfers.
Automate customer segment analysis via MCP Server
Query buyer behavior using `l_list_customers` to let AutoGen marketing agents automatically draft targeted campaigns. Create an AutoGen marketing agent that analyzes Loyverse buyer behavior. The agent queries `l_list_customers` to gather Loyverse purchase history, then passes that data to a copywriter agent to draft targeted emails. Because AutoGen manages the conversation flow, the agents critique each other's Loyverse targeting criteria.
Set up Loyverse 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 Loyverse 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="Loyverse_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Loyverse 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="Loyverse_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Loyverse 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 Loyverse. 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 Loyverse MCP in AutoGen
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