How to Use the Metrc MCP in VS Code Copilot

Q: How do I share the Metrc MCP Server setup with my team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and add the server configurations. Once committed, any team member using VS Code Copilot can use the track-and-trace tools instantly.

Q: Can VS Code Copilot help write tests for Metrc integration?

Yes, your agent can call listincomingtransfers to inspect the payload structure and generate matching test suites. This ensures your integration tests are always written against accurate state schemas.

Share live Metrc track-and-trace schemas across your entire development team inside VS Code Copilot for bulletproof compliance.

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Connect Metrc MCP to VS Code Copilot

Create your Vinkius account to connect Metrc to VS Code Copilot 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 VS Code Copilot

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Commit Metrc track-and-trace tools to your repo

`list_facilities` serves as the foundation for your team's local development setup. By putting your configurations in a shared file, every engineer on your team gets instant access to your active facility list through VS Code Copilot. This shared MCP Server setup ensures that when anyone writes code to handle `get_unit_of_measures`, they are working with the exact same unit schemas. It keeps your team aligned and prevents mismatched pull requests.

Write and validate package queries in VS Code Copilot

`list_active_packages` gives your team the ability to query live inventory directly from the copilot chat pane. By connecting this MCP toolset, your developers can test query filters and verify field names without logging into separate web portals. When writing custom inventory sync scripts, your agent can call `get_package_details` to verify tag states. It makes writing error-handling code fast because you are testing against real state data.

Verify harvest and sales schemas during development

`list_active_harvests` pulls real-time harvest records directly into your editor environment. Your team can use this tool to write accurate calculations for wet-to-dry weight ratios using live data. You can also run `list_active_sales` to check receipt structures. This helps your engineers write resilient point-of-sale integrations that comply with state reporting rules on day one.

Setup guide

Set up Metrc MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Metrc MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Metrc tools listed. Try asking: "List my recent Metrc transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "metrc-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Metrc MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and add the server configurations. Once committed, any team member using VS Code Copilot can use the track-and-trace tools instantly.

Yes, your agent can call `list_incoming_transfers` to inspect the payload structure and generate matching test suites. This ensures your integration tests are always written against accurate state schemas.

Yes, the server runs in a secure sandbox that respects your local network controls. It allows your enterprise team to query compliance data without exposing your private API keys to external servers.

You can use environment variables in your local MCP configuration file to swap between sandbox and production keys. This keeps your production credentials out of your shared Git repository.

All active sales receipts, transfer manifests, and plant counts are fetched over direct HTTPS connections to the official state endpoint. The data is processed in memory and never written to external logs or cloud storage.

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