How to Use the Senar.io MCP in Cursor

Q: How do I configure Senar.io inside Cursor?

Create an MCP configuration file named mcp.json in your project root directory. Add the server command and arguments under the configuration block. Enable Agent mode to start using the tools.

Q: How do I add new threat content via the editor?

Tell the AI to update your target collection. It uses addcontent to push the new parameters. The changes reflect in your AR simulator immediately.

Inject Senar.io training metrics and AR simulator data straight into your codebase using Cursor.

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Connect Senar.io MCP to Cursor

Create your Vinkius account to connect Senar.io to Cursor — 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 Cursor

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Claude

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Build dashboards with the Senar.io MCP integration

Writing internal admin tools usually means faking API responses, but Cursor skips that step by calling `list_users`. Turn on Agent mode and tell it to fetch real user data. The AI handles the request perfectly. The editor drops live production data right into your React components. It calls `get_collection_details` to populate your AR simulator views with actual content. You code against reality instead of mocked JSON.

Provision users while writing tests

Testing authorization logic requires active accounts, which you generate instantly using `create_user_and_assign`. Instead of opening a browser to make them, just ask your MCP agent to run the command. It provisions the account and returns the ID. You paste that ID directly into your unit test. If you need to verify the account state later, the agent fires `get_user_details` to confirm the assignment worked.

Analyze learning progress in your editor

Pulling analytics into your reporting scripts takes seconds when your MCP client executes `get_progress`. Your agent grabs the exact metrics you need from the database. It formats the output to match your schema perfectly. Digging into specific events works the exact same way. The agent runs `get_activity_data` to pull training activity results. It then writes the exact data transformation functions required to parse those logs.

Setup guide

Set up Senar.io MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Senar.io MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Senar.io transactions." If the MCP tools are loaded correctly, Cursor will call the Senar.io tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/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 Cursor

Create an MCP configuration file named `mcp.json` in your project root directory. Add the server command and arguments under the configuration block. Enable Agent mode to start using the tools.

Yes, the agent can monitor active logins directly. It calls `get_user_sessions` to retrieve current connection states. You can use this data to debug session handling in your code.

Tell the AI to update your target collection. It uses `add_content` to push the new parameters. The changes reflect in your AR simulator immediately.

The agent might be guessing the collection IDs instead of fetching them. Force it to run `list_collections` first to get the correct identifiers. Then ask it to proceed with your original request.

The connection routes directly from your machine to the API endpoint. Cursor reads your training activity results and session logs only when explicitly prompted. No intermediate proxies intercept your payloads.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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