How to Use the AirOps MCP in VS Code Copilot

Q: How do I share the AirOps configuration with my team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and commit it to Git. Every team member with VS Code Copilot will automatically get access to the configured tools once they restart their editor.

Q: Can my team run asynchronous AirOps workflows from the VS Code Copilot chat?

Yes, they can use executeworkflowasync to start background tasks. Copilot will monitor the execution progress in the chat window without blocking the developer's workspace.

Q: Does this server support uploading large workspace files to AirOps?

Yes, your agent can read workspace files and use uploadfile to push them directly to your AirOps memory store.

Trigger AirOps workflows and manage vector memory directly inside VS Code Copilot for team-wide automation.

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Connect AirOps MCP to VS Code Copilot

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

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Run AirOps workflows inside VS Code Copilot

This MCP Server lets your team trigger backend tasks directly from the chat panel using `execute_workflow_sync` and `execute_workflow_async`. Developers can test production pipelines without switching to external web dashboards. If a workflow execution stalls, the agent uses `get_execution_status` to diagnose the issue or `cancel_execution` to terminate the process. This keeps your entire engineering team aligned on the same execution states.

Query and seed vector databases via MCP Server

This MCP Server exposes `search_memory_store` and `add_memory_document` to let your VS Code Copilot agent interact with your knowledge base. Your team can quickly lookup vector records or insert new reference docs while writing code. When working with local documentation, the agent uses `upload_file` to send files directly to your remote AirOps storage. It simplifies the process of keeping your models updated with the latest codebase changes.

Inspect AirOps agent configurations in VS Code Copilot

This MCP Server connects your editor to your live agent fleet using `list_apps` and `get_app_details`. Your team can instantly pull current schemas and configuration details without leaving VS Code. If you need to test conversational behaviors, the `chat_with_agent` tool allows your developers to interact with your agents directly. This makes it easy to debug prompt changes before deploying them to production.

Setup guide

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

.vscode/mcp.json

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

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Common questions about AirOps MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and commit it to Git. Every team member with VS Code Copilot will automatically get access to the configured tools once they restart their editor.

Yes, they can use `execute_workflow_async` to start background tasks. Copilot will monitor the execution progress in the chat window without blocking the developer's workspace.

This is usually due to an incorrect Vinkius endpoint token in your user settings. Ensure your team members have configured their individual credentials in their global VS Code configuration.

Yes, your agent can read workspace files and use `upload_file` to push them directly to your AirOps memory store.

All transmitted memory documents, app metadata, and workflow configurations are processed inside Vinkius's secure, ephemeral V8 sandboxes. Your proprietary data never touches persistent storage on Vinkius.

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