How to Use the Tray.io MCP in Cursor

Q: How does Tray.io integrate with Cursor?

You create a .cursor/mcp.json file and add the server definition there. This makes all of its tools available to the AI agent, letting it call functions like getworkflowdetails directly within your coding context.

Q: Is this a team-friendly MCP Server setup?

Yes. By using a project-scope configuration in .cursor/mcp.json, you ensure that every developer on your team has access to the same set of Tray.io tools and capabilities.

Q: What data privacy is handled by this MCP Server with Tray.io and Cursor?

The server accesses user details through getauthenticateduser, giving the agent visibility into who initiated the automation process within your code.

Inject live Tray.io data directly into your code with Cursor.

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Connect Tray.io MCP to Cursor

Create your Vinkius account to connect Tray.io 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 Tray.io with Cursor

Ask AI about this MCP

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Claude

Perplexity

Get Real-time Workflow Context

Stop using mock data for API responses. By calling `list_workflows` or `get_workflow_details`, the AI generates working code that uses live context from your Tray.io account. This allows you to write functions immediately, knowing exactly what a workflow's structure looks like without needing separate test scripts.

Map Out Integrations for Cursor

Before writing connection code, the agent can list every service connector using `list_available_connectors`. This ensures you use the correct API endpoints and libraries. You can also see all existing templates with `list_integration_solutions`, helping you build new functions that mirror established business logic.

Track Execution Status in Code

Writing reliable automation means knowing if it worked. Use the `list_workflow_executions` tool to pull recent job history into your code block. You can then check for specific failure codes or success metrics. Furthermore, checking who ran the process with `get_authenticated_user` lets you add logging that tracks user-specific activity right where the function is defined.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "trayio-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 Tray.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 Tray.io MCP in Cursor

You create a `.cursor/mcp.json` file and add the server definition there. This makes all of its tools available to the AI agent, letting it call functions like `get_workflow_details` directly within your coding context.

It passes structured operational data, such as a list of all available connectors or the details for individual workflows using `list_workflows`. This real-time context is what makes the generated code accurate.

Absolutely. The agent mode allows you to call any tool, like `list_available_connectors`, and inject the resulting JSON data directly into your current file or function.

Yes. By using a project-scope configuration in `.cursor/mcp.json`, you ensure that every developer on your team has access to the same set of Tray.io tools and capabilities.

The server accesses user details through `get_authenticated_user`, giving the agent visibility into who initiated the automation process within your code.

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