How do I find my Metrc API Keys?

Your Integrator Key is provided by your software vendor. Your User Key is found in your Metrc User Profile under the 'API Keys' section.

Which Base URL should I use?

You must use the API URL corresponding to your state (e.g., https://api-ca.metrc.com for California).

Is my regulatory data secure?

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Metrc MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Metrc
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Metrc as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="metrc_agent",
    instruction=(
        "You help users interact with Metrc "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Metrc MCP Server

Connect your Metrc account to any AI agent and take full control of your cannabis track-and-trace compliance through natural conversation.

Google ADK natively supports Metrc as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Facility Oversight — List all licensed facilities and fetch detailed metadata for your operations
Inventory Tracking — Retrieve active items, strains, and inventory packages with real-time status visibility
Supply Chain Management — Monitor plant life cycles, harvest batches, and incoming inventory transfers securely
Compliance Auditing — List active sales receipts and verify unit of measure configurations
Detailed Inspection — Fetch comprehensive metadata for individual packages and state-specific license configurations

The Metrc MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Metrc to Google ADK via MCP

Follow these steps to integrate the Metrc MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Metrc via MCP

Why Use Google ADK with the Metrc MCP Server

Google ADK provides unique advantages when paired with Metrc through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Metrc

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Metrc tools with BigQuery, Vertex AI, and Cloud Functions

Metrc + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Metrc MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Metrc and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Metrc tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Metrc regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Metrc

Metrc MCP Tools for Google ADK (10)

These 10 tools become available when you connect Metrc to Google ADK via MCP:

get_package_details

Get details for a specific package

get_unit_of_measures

g. Grams, Ounces). List all units of measure

list_active_harvests

List active harvests for a facility

list_active_items

List active items for a facility

list_active_packages

List active packages for a facility

list_active_sales

List active sales receipts

list_active_strains

List active strains for a facility

list_facilities

List all licensed facilities

list_incoming_transfers

List incoming inventory transfers

list_tracked_plants

List tracked plants for a facility

Example Prompts for Metrc in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Metrc immediately.

"List all active facilities associated with my Metrc account."

"Show active inventory packages for license 'LIC-12345'."

"Get details for package label 'ABCDEFG1234567'."

Troubleshooting Metrc MCP Server with Google ADK

Common issues when connecting Metrc to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Metrc + Google ADK FAQ

Common questions about integrating Metrc MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.