How to Use the Dutchie Plus MCP in AutoGen
Run multi-agent debates in AutoGen to resolve Dutchie Plus order fulfillment delays and inventory discrepancies automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Dutchie Plus MCP to AutoGen
Create your Vinkius account to connect Dutchie Plus 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 fulfillment bottlenecks via AutoGen debate
Let specialized agents argue over your retail operations. A logistics agent calls `list_pending_fulfillment_orders` to spot stuck orders, while a store manager agent queries `get_location_details` to check if the dispensary is understaffed. They debate the best path forward in your AutoGen conversation thread. Instead of a single agent making a blind guess, they negotiate a resolution based on live queue data before alerting your physical store staff.
Multi-agent audits using the Dutchie Plus MCP Server
Run complex enterprise audits by dividing the labor using this MCP setup. An auditor agent calls `quick_enterprise_volume_audit` to analyze overall sales velocity, then flags suspicious drops to a security agent. The security agent then uses `get_order_details` to inspect specific high-value transactions. This collaborative workflow ensures no single agent wastes API tokens or rate limits on bulk queries.
Coordinate inventory across cities
Manage multi-store inventories through coordinated agent conversations. One agent uses `search_dispensaries_by_city` to locate regional hubs, while another pulls the corresponding menus using `list_online_menus`. They cross-reference the data to spot regional supply gaps. The agents then present a unified transfer recommendation to your operations team, backed by live data from `list_synced_brands`.
Set up Dutchie Plus 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 Dutchie Plus 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="Dutchie Plus_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Dutchie Plus 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="Dutchie Plus_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Dutchie Plus 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 Dutchie Plus. 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.
Why Choose Vinkius
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Common questions about Dutchie Plus MCP in AutoGen
Use it with your favorite AI tools
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