How to Use the Kannapedia Cannabis Genetics MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK system run parallel terpene searches?

Yes. Your agent can call searchbyterpene across multiple threads or inside parallel agent loops. The underlying HTTP connection handles these concurrent requests efficiently.

Equip your OpenAI Agents SDK production team with real-time cannabis strain data and genetic lineages.

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Connect Kannapedia Cannabis Genetics MCP to OpenAI Agents SDK

Create your Vinkius account to connect Kannapedia Cannabis Genetics to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Kannapedia Cannabis Genetics with OpenAI Agents SDK

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Query strains directly inside OpenAI Agents SDK

Connect your production agents to the Kannapedia database using the `get_strain_detail` tool on this MCP Server. Pass the endpoint directly to your agent constructor so it can instantly fetch strain profiles without manual API wrappers. Your OpenAI agent routing dynamically resolves the botanical data returned by the server. It pulls the exact terpene breakdowns and genetic lineages without you writing custom integration code.

Filter by chemical profiles and effects

Let your OpenAI Agents SDK run targeted searches using `search_by_effect` and `search_by_terpene` to find strains based on how they actually behave. The agent calls these tools to parse raw chemical data on the fly during user conversations. This Python setup avoids relying on arbitrary strain marketing names. Your code gets raw, structured genetic profiles to match user needs based on real chemistry.

Map genetic lineages with safety guardrails

Trace plant origins using the `search_genetics` tool within your OpenAI agent loops. The OpenAI SDK validates these genetic tool calls before execution, keeping your production pipelines predictable. Your application gets verified Kannapedia lineage data back. It allows your specialized agents to hand off complex botanical queries without risking runtime crashes.

Setup guide

Set up Kannapedia Cannabis Genetics MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Kannapedia Cannabis Genetics tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Kannapedia Cannabis Genetics tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Kannapedia Cannabis Genetics tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Kannapedia Cannabis Genetics Agent",
            instructions="You have access to Kannapedia Cannabis Genetics tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Kannapedia Cannabis Genetics MCP in OpenAI Agents SDK

Install the package and pass the server URL to the streamable HTTP constructor. Add that instance to the agent's server list, and it will automatically find tools like `get_strain_detail`.

Yes. Your agent can call `search_by_terpene` across multiple threads or inside parallel agent loops. The underlying HTTP connection handles these concurrent requests efficiently.

The MCP server returns clean JSON payloads. The SDK parses these outputs directly into the agent's context, allowing tools like `search_genetics` to feed straight into subsequent reasoning steps.

Setting the cache flag prevents the SDK from querying the MCP endpoint for its tool list on every single turn. This keeps your response times fast when users look up strains or effects.

All strain lookups and terpene queries run through Vinkius's isolated sandbox. Your raw search terms never touch external logs, keeping your proprietary botanical research private.

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