How to Use the Termii MCP in Cursor

Q: How does Termii help with code generation in Cursor?

When the agent calls a tool like sendsms, it uses the live JSON response data directly. It injects this real context into your file, so you don't have to manually mock API results.

Q: Can I use Termii for WhatsApp messaging in Cursor?

Yes. You can write code that calls sendwhatsapp, and the agent will handle the necessary formatting and execution, letting you test rich media sending instantly within your project.

Q: If I use Termii for a team project in Cursor, is it easy to configure?

The setup uses a simple .cursor/mcp.json file in your project root. This makes sharing the tool access straightforward across your whole development squad.

Q: How do I check my balance when writing code with Termii and Cursor?

You just write a call to checkbalance. The agent will execute it, grab the numerical result (your remaining credits), and inject that number right into your script.

Inject live communication APIs into your code with Termii via Cursor's agent mode.

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Connect Termii MCP to Cursor

Create your Vinkius account to connect Termii to Cursor 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 Termii with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Send multi-channel alerts.

Write a function that sends an alert using `send_sms` or `send_whatsapp`. The AI generates the actual, working API call and injects live data into your file. It handles both channels seamlessly. This means you don't just get stubs; you get code that runs against real endpoints. Use it to build solid communication logic fast.

Implement OTP verification flows.

`send_otp` allows the agent to write code that sends an immediate one-time password. You then follow up with `verify_otp` in the same file, completing a full authentication loop. This is great for security features you're coding right now. The AI will structure the necessary error handling around these calls.

Audit and manage sender credentials.

Need to verify which IDs are available? Run `list_sender_ids` so the code knows what identifiers it can use. You can also use `check_balance` at the start of a script to ensure you don't hit rate limits. These tools let you write robust, production-ready API wrappers right inside your editor.

Setup guide

Set up Termii 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 Termii 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 Termii transactions." If the MCP tools are loaded correctly, Cursor will call the Termii tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

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Common questions about Termii MCP in Cursor

When the agent calls a tool like `send_sms`, it uses the live JSON response data directly. It injects this real context into your file, so you don't have to manually mock API results.

Yes. You can write code that calls `send_whatsapp`, and the agent will handle the necessary formatting and execution, letting you test rich media sending instantly within your project.

This server touches OTP codes and message content (SMS/WhatsApp). When writing authentication logic, the agent handles sensitive user data via `verify_otp`. Treat any code generated with these functions as handling PII.

The setup uses a simple `.cursor/mcp.json` file in your project root. This makes sharing the tool access straightforward across your whole development squad.

You just write a call to `check_balance`. The agent will execute it, grab the numerical result (your remaining credits), and inject that number right into your script.

Use it with your favorite AI tools

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

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