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 LangChain 10 tools — connect in under 2 minutes

Name: Metrc
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Metrc through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "metrc": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Metrc, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with Metrc through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Metrc MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Metrc via MCP

Why Use LangChain with the Metrc MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Metrc MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Metrc queries for multi-turn workflows

Metrc + LangChain Use Cases

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

RAG with live data: combine Metrc tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Metrc, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Metrc tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Metrc tool call, measure latency, and optimize your agent's performance

Metrc MCP Tools for LangChain (10)

These 10 tools become available when you connect Metrc to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Metrc + LangChain FAQ

Common questions about integrating Metrc MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.