How to Use the Cannlytics Strain API MCP in Google ADK

Q: Can I filter tools when using Cannlytics Strain API with Google ADK?

You can. Use the toolnames filter to expose only what your agent needs.

Connect Google ADK to the Cannlytics Strain API for enterprise cannabis insights.

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Connect Cannlytics Strain API MCP to Google ADK

Create your Vinkius account to connect Cannlytics Strain API to Google ADK 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 Google ADK

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Search cannabis data in Google ADK

Use `search_strains` to find records inside your Google Cloud environment. Your agent queries the Cannlytics database to pull exact matches for your users. This tool cuts down on search time. You get the specific data you need for your Gemini-powered agent.

Analyze strain profiles with Google ADK

Call `get_strain` to bring detailed metrics into your BigQuery data flow. You can now correlate strain information with your existing sales or inventory data. Everything stays within your infrastructure. It turns raw information into actionable data points for your agents.

Filter by effects and flavors

Use `get_effects` and `get_flavors` to refine your agent's reasoning. Your agents filter through the Cannlytics library to match user preferences precisely. It's fast. Your Google ADK setup processes these responses locally for better decision-making.

Setup guide

Set up Cannlytics Strain API MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Cannlytics Strain API tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Cannlytics Strain API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cannlytics Strain API tools via MCP.",
    tools=mcp_tools,
)

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