How to Use the UnifyApps MCP in Cursor

Q: How do I query UnifyApps connections in my code using Cursor?

You use listactiveconnections. The AI calls this tool, and the resulting live data is immediately injected into your file. This means you're not dealing with mock data.

Q: Can I check automation flow status using UnifyApps and Cursor?

Absolutely. Use listflowexecutions to get the history, or listautomationflows to confirm the definition. The AI uses this context when writing surrounding logic.

Q: How do I list all integrations for UnifyApps and Cursor?

The listintegrations tool gives you a complete inventory of every configured service. This data is ready to be used in your code, simplifying setup greatly.

Q: Is the MCP Server good for checking agent status with UnifyApps and Cursor?

Yes. listaiagents provides a clear list of configured agents. Your AI client can use this data to write code that respects the current environment setup.

Inject live data from UnifyApps into your code with Cursor.

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Connect UnifyApps MCP to Cursor

Create your Vinkius account to connect UnifyApps 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 UnifyApps with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Fetch integration details directly into the codebase.

`get_integration_details` lets you pull specific configuration information right where you're coding. Instead of leaving your editor, the AI can inject that live API response. Use this data when writing setup or verification code to ensure it works with real UnifyApps settings.

Build code around live agent status using Cursor.

`list_ai_agents` returns a list of configured agents, and the AI can use that array in your function calls. This means you're writing working code based on current system status. If you need to check what flows are available, `list_automation_flows` provides the necessary context for your script.

Audit and list connections using MCP Server.

`list_active_connections` gives you a structured JSON output of live account links. The AI can then consume that data to write validation logic. Additionally, `list_integrations` provides the full manifest of connected services for your project.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "unifyapps-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 UnifyApps. 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 UnifyApps MCP in Cursor

You use `list_active_connections`. The AI calls this tool, and the resulting live data is immediately injected into your file. This means you're not dealing with mock data.

Absolutely. Use `list_flow_executions` to get the history, or `list_automation_flows` to confirm the definition. The AI uses this context when writing surrounding logic.

The `list_integrations` tool gives you a complete inventory of every configured service. This data is ready to be used in your code, simplifying setup greatly.

Yes. `list_ai_agents` provides a clear list of configured agents. Your AI client can use this data to write code that respects the current environment setup.

This server touches Connection Data, Flow Definition Data, and Agent Lists. You get structured data from tools like `list_active_connections` that you can directly use in your code.

Use it with your favorite AI tools

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

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