How to Use the Kannapedia Cannabis Genetics MCP in AutoGen
Let your agents debate strain selections. Use AutoGen and Kannapedia to find the best option through conversation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kannapedia Cannabis Genetics MCP to AutoGen
Create your Vinkius account to connect Kannapedia Cannabis Genetics 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.
Consensus-Driven Recommendations
This isn't about one agent finding an answer. It's about a team of agents debating it. One agent can act as a "Patient Advocate," using `search_by_effect` to find strains for 'Sleep'. Another, a "Chemist," can use `search_by_terpene` to check for linalool. They discuss their findings. The Chemist might point out that a suggested strain is high in limonene, which could be counterproductive. Through this back-and-forth, they arrive at a better, more carefully considered recommendation. That's the power of AutoGen.
Assign Roles, Not Just Tasks
Give each agent in your group a specific job. A "Genetics Researcher" agent could be the only one allowed to use the `search_genetics` tool. A "Dispensary Manager" agent could use `get_strain_detail` to check THC and CBD levels. This specialization makes your system more robust. The agents challenge each other based on their unique perspectives and toolsets. It mimics how a real-world team of experts would collaborate, using the Kannapedia database as their shared source of truth.
Plug Kannapedia Into Your Group Chat
Adding the Kannapedia tools to your AutoGen agents is straightforward. The `mcp_server_tools` function makes all four tools—`get_strain_detail`, `search_by_effect`, `search_by_terpene`, and `search_genetics`—available to any agent in your chat. The `McpToolAdapter` handles the schema, so your agents can immediately start calling tools from the Kannapedia MCP server and discussing the results. You're not just writing code; you're orchestrating a conversation between AI experts.
Set up Kannapedia Cannabis Genetics 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 Kannapedia Cannabis Genetics 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="Kannapedia Cannabis Genetics_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Kannapedia Cannabis Genetics 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="Kannapedia Cannabis Genetics_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Kannapedia Cannabis Genetics 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 Kannapedia. 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 Kannapedia Cannabis Genetics MCP in AutoGen
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