How to Use the Moneypenny MCP in Cursor

Q: Can Cursor call Moneypenny tools to debug my code?

Yes, once the server is active, Cursor can trigger getrecentchats to fetch data for your current debugging task. This allows the AI to see exactly what is happening in your live support queues.

Inject live Moneypenny data into your codebase with Cursor to build better customer support logic.

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Connect Moneypenny MCP to Cursor

Create your Vinkius account to connect Moneypenny 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 Moneypenny with Cursor

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Claude

Perplexity

Live data injection for Cursor agents

Feed real-time call volume directly into your code generation process using `get_today_calls`. Instead of writing mocks, ask Cursor to write logic based on the actual message structures returned by the API. This workflow ensures your code handles real-world scenarios, like high-frequency chat bursts. It connects your development environment to the live pulse of your customer support operations.

Historical chat analysis in the editor

Use `list_chat_logs` to feed past conversation data into your agent while you debug support workflows. By passing specific date ranges, you give Cursor the context it needs to identify patterns in how your team interacts with customers. This approach helps you refine your support scripts based on actual usage. It turns historical logs into a training set for your own custom logic.

Project-wide tool access

Configure the server in your project root to give every developer on your team access to `get_this_month_calls`. By committing your config, you ensure everyone works with the same data access patterns. This setup removes the friction of manual data exports. It keeps your development team aligned on the same metrics, straight from the Moneypenny backend.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "moneypenny-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 Moneypenny. 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 Moneypenny MCP in Cursor

Create an .cursor/mcp.json file in your project directory. Add the server configuration there, and Cursor will automatically load the tools when you enter Agent mode.

Yes, once the server is active, Cursor can trigger `get_recent_chats` to fetch data for your current debugging task. This allows the AI to see exactly what is happening in your live support queues.

Absolutely. Simply enable Agent mode in your chat window, and the AI will be able to see and use the available tools to fetch your call and chat activity.

The server transmits data directly from the API to your local editor instance. It uses secure connections, and no sensitive credentials are saved outside of your local configuration files.

The server retrieves your chat logs securely through the API. Your data is only used to populate the context for your current coding task and is not shared with other users or services.

Use it with your favorite AI tools

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

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