How to Use the Metorial MCP in VS Code Copilot

Q: How do I configure Metorial for my team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and commit it. Every developer on your team using VS Code Copilot will automatically gain access to the configured serverless tools.

Q: How does the Metorial MCP Server handle tool executions inside VS Code Copilot?

It uses metorialinvokeservertool to route your requests to the active serverless environment. VS Code Copilot sends the parameters, runs the execution on the remote container, and displays the output inline.

Manage serverless infrastructure and inspect execution traces using this MCP Server in VS Code Copilot.

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Connect Metorial MCP to VS Code Copilot

Create your Vinkius account to connect Metorial 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 Metorial with VS Code Copilot

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Share serverless environments in VS Code Copilot

This feature uses `metorial_list_servers` and `metorial_get_server_status` to give your entire team visibility into shared development environments. By committing the configuration to your repo, every developer using Copilot can check the status of active serverless nodes instantly. It keeps your team in sync regarding active cloud resources. Copilot can query the live workspace inventory to prevent duplicate deployments during collaborative coding.

Manage serverless lifecycles with this MCP Server

This feature uses `metorial_deploy_server` and `metorial_delete_server` to let Copilot manage the lifespan of temporary testing environments. When a developer needs to test a feature branch, Copilot provisions a fresh serverless node. Once the tests pass, Copilot can call `metorial_delete_server` to tear down the infrastructure. This prevents idle cloud resources from bloating your monthly budget.

Inspect shared execution traces inline

This feature uses `metorial_get_trace_details` and `metorial_list_traces` to pull execution logs into VS Code Copilot. If a teammate's automated workflow fails, you can inspect the exact transaction boundaries without leaving your coding environment. It allows Copilot to analyze historical trace details to pinpoint the root cause of execution failures. Your team can debug complex agent pipelines without digging through external monitoring dashboards.

Setup guide

Set up Metorial 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 Metorial 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 Metorial tools listed. Try asking: "List my recent Metorial transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Metorial. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Metorial MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and commit it. Every developer on your team using VS Code Copilot will automatically gain access to the configured serverless tools.

Yes, by committing the configuration file to Git, VS Code Copilot shares the endpoint settings across the workspace. Developers can run `metorial_list_servers` to see and manage the same set of remote serverless nodes.

Yes, you can use the global user configuration in VS Code Copilot if you want to keep your Metorial credentials private and avoid committing them to a public repository.

It uses `metorial_invoke_server_tool` to route your requests to the active serverless environment. VS Code Copilot sends the parameters, runs the execution on the remote container, and displays the output inline.

Metorial encrypts all logical server parameters and configuration matrices at rest. Access to `metorial_deploy_server` and other sensitive tools requires a cryptographically signed workspace token, ensuring that unauthorized users cannot alter your infrastructure.

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