How to Use the Senar.io MCP in VS Code Copilot

Q: How do I share Senar.io tools in VS Code Copilot?

Create an MCP configuration file in your .vscode directory. Commit this file to your shared Git repository. Your entire team gains access to the tools automatically upon their next pull.

Equip your entire engineering team with Senar.io AR simulator controls directly inside VS Code Copilot.

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…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Senar.io MCP to VS Code Copilot

Create your Vinkius account to connect Senar.io to VS Code Copilot — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Senar.io with VS Code Copilot

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Deploy the Senar.io MCP Server across your team

Onboarding new developers usually means sharing API keys, but you bypass that by giving them immediate access to `list_users`. You commit your MCP configuration to the repository. Every engineer gets the tools the moment they pull the code. The integration scales perfectly across large organizations. A junior dev can ask Copilot to fetch an account using `get_user_details` without needing to understand the underlying SIEM architecture. The agent handles the complexity.

Manage training content from the editor

Updating threat scenarios no longer requires a separate portal when your agent can run `list_collections`. Your AI client lists every available module directly in the editor. You see the exact state of your AR environments right in your sidebar. Pushing updates happens just as fast. Tell Copilot to inject new threat indicators, and it fires `add_content` to modify the collection. You verify the update instantly with `get_collection_details`.

Audit activity and learning progress

Building internal reporting tools demands accurate data, which your MCP client pulls straight from the source using `get_progress`. You skip manual API queries entirely. Real learning milestones get injected directly into your SQL queries or data frames. Tracking user behavior works exactly the same way. The agent executes `get_activity_data` to retrieve detailed training activity results. It can also map out active connections by running `get_user_sessions` to help you debug authentication flows.

Setup guide

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

.vscode/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Senar.io. 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 Senar.io MCP in VS Code Copilot

Create an MCP configuration file in your `.vscode` directory. Commit this file to your shared Git repository. Your entire team gains access to the tools automatically upon their next pull.

It handles account creation natively. Instruct the agent to run `create_user_and_assign` with the target credentials. The user gets added to the specified AR collection immediately.

Copilot sometimes hallucinates date formats when querying the API. Tell it to run `get_activity_data` with a strict ISO 8601 timestamp. This forces the tool to return the correct training results.

Yes, you must switch your chat to Agent mode for tool execution. Standard chat only provides text completions. Agent mode allows the client to actively run commands like `list_collections`.

Enterprise policies govern all data access within your IDE. Copilot processes your learning progress metrics and user session IDs strictly within your local environment. Zero telemetry leaves your network without explicit authorization.

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