How to Use the Cannlytics Strain API MCP in OpenAI Agents SDK

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Connect Cannlytics Strain API MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cannlytics Strain API 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 Cannlytics Strain API with OpenAI Agents SDK

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Claude

Perplexity

Fetch strain details in OpenAI Agents SDK

Your agent pulls raw cannabis data directly into your pipeline. Call `get_strain` to grab specific chemical profiles or genetics without leaving your Python code. This keeps your agent logic clean. You stop writing custom scrapers and let the MCP Server handle the Cannlytics connection.

Map cannabis effects and flavors

Query `get_effects` and `get_flavors` to build rich user profiles. Your agent interprets these arrays to recommend products based on real-world feedback. It works instantly. You get structured data that fits perfectly into your OpenAI Agents SDK workflow.

Discover similar cannabis products

Run `get_similar_strains` to find matches for your current selection. Your agent uses this to provide alternatives when a specific strain is unavailable. Use `search_strains` for broad discovery. It finds the right records in the Cannlytics database so your agent stays accurate.

Setup guide

Set up Cannlytics Strain API 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 Cannlytics Strain API tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cannlytics Strain API 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="Cannlytics Strain API Agent",
            instructions="You have access to Cannlytics Strain API 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 Cannlytics Strain API MCP in OpenAI Agents SDK

Install the library and pass the server to your agent constructor. The SDK discovers the tools automatically.

Just point your agent to the Vinkius endpoint URL. Set cacheToolsList to True to keep your agent snappy.

Yes. The SDK manages tool execution and tracing. You see exactly what the server returns in your dashboard.

Your queries stay between your agent and the server. We only touch public cannabis strain records.

All traffic is encrypted. You authenticate with a single token provided by Vinkius.

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