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 OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Metrc
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Metrc through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Metrc Assistant",
            instructions=(
                "You help users interact with Metrc. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Metrc"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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IAMAccess control

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DLPData protection

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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.

The OpenAI Agents SDK auto-discovers all 10 tools from Metrc through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Metrc, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Metrc MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Metrc

Why Use OpenAI Agents SDK with the Metrc MCP Server

OpenAI Agents SDK provides unique advantages when paired with Metrc through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Metrc + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Metrc MCP Server delivers measurable value.

Automated workflows: build agents that query Metrc, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Metrc, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Metrc tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Metrc to resolve tickets, look up records, and update statuses without human intervention

Metrc MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Metrc to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Metrc to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Metrc + OpenAI Agents SDK FAQ

Common questions about integrating Metrc MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.