How to Use the Mio MCP in Cursor

Q: How do I install the Mio MCP Server in Cursor?

Add the MCP server block to your .cursor/mcp.json file. Enable Agent mode in your AI client to start using the voice tools immediately.

Q: Can I fetch Mio call logs directly into Cursor?

Yes, listcalls retrieves your complete communication history inside the editor. You can use these real logs to debug your application.

Q: How does Cursor use Mio transcripts to write code?

Cursor reads transcripts via getcalltranscript and injects them into your context. The AI then writes custom parsers or handlers based on real text.

Q: How do I check my remaining balance before testing calls?

Use getcreditbalance to see your current USD account funds. This prevents failed call attempts due to empty balances.

Trigger Mio voice calls and fetch transcript context directly inside the Cursor editor during your active coding sessions.

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Connect Mio MCP to Cursor

Create your Vinkius account to connect Mio 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 Mio with Cursor

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Initiate voice tests from Cursor

`start_ai_call` launches live phone sessions directly from your Cursor agent panel using this MCP integration. Developers can trigger real calls during active coding to test integration flows immediately inside the editor. Use `terminate_call` to stop active connections instantly within the Cursor terminal. You can control the entire voice lifecycle without switching to an external browser tab.

Feed call transcripts into Cursor code generation

`get_call_transcript` pulls voice text logs straight into your active Cursor editing session. This allows Cursor's code generator to write code based on actual conversation transcripts instead of dummy text. Combine this with `get_call_summary` to feed key context into your local Cursor workspace. Your editor handles the data transfer directly, skipping manual copy-paste steps.

Manage Mio MCP Server webhooks in code

`create_webhook` sets up real-time event notifications directly from your Cursor workspace. You can configure webhook URLs and test their responses in your editor's terminal. Run `list_webhooks` to verify active listeners or `delete_webhook` to clean up testing endpoints. This keeps your Cursor development environment perfectly in sync with your live voice channels.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "mio-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 Mio. 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 Mio MCP in Cursor

Add the MCP server block to your `.cursor/mcp.json` file. Enable Agent mode in your AI client to start using the voice tools immediately.

Yes, `list_calls` retrieves your complete communication history inside the editor. You can use these real logs to debug your application.

Cursor reads transcripts via `get_call_transcript` and injects them into your context. The AI then writes custom parsers or handlers based on real text.

Use `get_credit_balance` to see your current USD account funds. This prevents failed call attempts due to empty balances.

Your webhook routes and voice metadata remain within Cursor's secure sandbox. We never send your audio logs or API payloads to external training sets.

Use it with your favorite AI tools

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

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