How to Use the Metrc MCP in Google ADK

Q: How do I connect the Metrc MCP Server to my Google ADK agent?

You initialize the McpToolset using the Vinkius HTTP transport parameters. Pass this toolset directly to your LlmAgent constructor to expose endpoints like listfacilities to Gemini.

Q: Can I filter which Metrc MCP tools are exposed to Google ADK?

Yes, you can use the toolnames parameter in the ADK toolset configuration to restrict access. This ensures your agent only sees necessary tools like listactiveitems and cannot access retail sales data.

Q: Can I combine cannabis track-and-trace data with BigQuery tables?

Yes, your agent can query tools like listactivestrains and immediately join that data with sales trends in BigQuery. This allows for real-time compliance checks against historical business performance.

Run deep-context cannabis supply chain analysis on Google ADK using real-time Metrc tracking.

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Connect Metrc MCP to Google ADK

Create your Vinkius account to connect Metrc 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 Metrc with Google ADK

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Perplexity

Analyze large facility networks with the Google ADK

The `list_facilities` tool imports your entire state-licensed footprint directly into Gemini's million-token context window. This massive capacity allows the Google ADK to process multi-facility compliance audits in a single operational run. Once the agent maps your locations, `list_incoming_transfers` identifies pending shipments across all jurisdictions. You can pipe this transfer data directly into BigQuery to forecast inventory arrivals without writing custom ETL pipelines.

Run bulk inventory audits using this MCP Server

The `list_active_packages` tool pulls active inventory items from your chosen facility straight to your enterprise agent. This MCP Server connection helps your Google ADK agent cross-reference physical warehouse counts against the state's official compliance ledger. If a package requires detailed verification, `get_package_details` retrieves its exact batch history and testing status. The agent can then use Vertex AI to flag potential compliance anomalies before they trigger state audits.

Track plant lifecycles from seed to sale

The `list_tracked_plants` tool feeds real-time growth stages and location histories directly to your Gemini agent. Your Gemini agent uses this data to map cultivation efficiency against historical yields stored in your cloud database. To complete the harvest loop, `list_active_harvests` exposes wet weights and package associations for immediate analysis. Your agent processes these high-volume tracking logs without choking, thanks to Google's scalable cloud infrastructure.

Setup guide

Set up Metrc 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 Metrc 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="Metrc_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Metrc tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Metrc MCP in Google ADK

You initialize the `McpToolset` using the Vinkius HTTP transport parameters. Pass this toolset directly to your `LlmAgent` constructor to expose endpoints like `list_facilities` to Gemini.

Yes, you can use the `tool_names` parameter in the ADK toolset configuration to restrict access. This ensures your agent only sees necessary tools like `list_active_items` and cannot access retail sales data.

Gemini's long-context window easily processes large JSON responses from tools like `list_active_packages`. The ADK parses the raw tool outputs directly into the model's working memory for immediate reasoning.

Yes, your agent can query tools like `list_active_strains` and immediately join that data with sales trends in BigQuery. This allows for real-time compliance checks against historical business performance.

Your package IDs, harvest weights, and strain details are isolated within Vinkius's ephemeral sandboxes. Data only travels between the official state API and your Google Cloud virtual private network, ensuring zero external exposure.

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