How to Use the OpenTHC MCP in AutoGen
Coordinate AutoGen agents to debate and resolve OpenTHC cannabis compliance issues before they trigger state audits.
Works with every AI agent you already use
…and any MCP-compatible client
Connect OpenTHC MCP to AutoGen
Create your Vinkius account to connect OpenTHC to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Debate compliance risks using this MCP Server
`list_licenses` retrieves active cultivation and retail permits to verify your operational status across multiple facilities. In AutoGen, a compliance agent debates a logistics agent to block transfers if a license is near expiration. This consensus-driven workflow stops illegal shipments before they leave the loading dock. By forcing agents to negotiate, you eliminate single-point-of-failure automation. The compliance agent won't approve the transaction until all license parameters are fully satisfied.
Reconcile physical inventory via AutoGen agents
`list_inventory` queries your current cannabis stock levels, lot numbers, and room locations. An inventory agent challenges a sales agent's order fulfillment plan if the digital lot numbers do not match physical counts. This debate prevents physical-to-digital drift in your state reporting database. The agents use `list_sections` to verify that the proposed storage rooms have adequate physical capacity. If a mismatch is found, they pause the pipeline and alert your manager.
Verify B2B transfers with AutoGen
`list_b2b_transactions` tracks incoming manifests to ensure your receiving team only accepts approved cannabis shipments. Your AutoGen agents compare this data with `list_lab_results` to confirm all incoming lots have passed heavy metal and pesticide screenings. The receiving agent refuses to log a transfer if the lab results are missing. This multi-agent verification loop operates autonomously in the background. It keeps your supply chain audit-ready 24/7.
Set up OpenTHC 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 OpenTHC 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="OpenTHC_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent OpenTHC 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="OpenTHC_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent OpenTHC 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 OpenTHC. 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 OpenTHC MCP in AutoGen
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