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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Metrc
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Metrc as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Metrc. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Metrc?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Metrc tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Metrc

Why Use LlamaIndex with the Metrc MCP Server

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

Data-first architecture: LlamaIndex agents combine Metrc tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Metrc tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Metrc, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Metrc tools were called, what data was returned, and how it influenced the final answer

Metrc + LlamaIndex Use Cases

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

Hybrid search: combine Metrc real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Metrc to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Metrc for fresh data

Analytical workflows: chain Metrc queries with LlamaIndex's data connectors to build multi-source analytical reports

Metrc MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Metrc + LlamaIndex FAQ

Common questions about integrating Metrc MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.