How to Use the HiFlow MCP in Cursor

Q: Can the Cursor agent write code using my actual HiFlow invoices?

Yes, the agent calls getinvoice to fetch real billing structures. This lets it write precise data-handling code based on actual payload shapes instead of mock files.

Q: Does HiFlow support automated timesheet lookups in Cursor?

It does. Your agent invokes listtimesheets to pull log histories and inject them directly into your active workspace files or reports.

Q: Can I create test customers while debugging my code?

Yes, you can tell the editor to run createcustomer to generate actual records in your development environment.

Generate real code against live workspace data by linking this HiFlow MCP Server directly to Cursor.

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Connect HiFlow MCP to Cursor

Create your Vinkius account to connect HiFlow 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 HiFlow with Cursor

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Feed live project data into your Cursor workspace

This HiFlow MCP Server links your codebase directly to your active project pipeline. Your editor agent runs `list_jobs` and `get_job` to pull actual project parameters, allowing it to generate code that reflects real-world operational constraints instead of placeholder variables. When building custom internal tools, your agent uses `get_me` to check your user status and permissions. This ensures your code matches the access levels of your current active session.

Inspect financial tools inside Cursor

The server lets your editor inspect live billing states using `get_invoice` and `list_invoices`. This allows your agent to write, test, and debug custom billing templates using genuine financial structures. Developers can also pull quote histories. The agent calls `get_estimate` or `list_estimates` to verify pricing schemas, helping you write precise data parsers without guessing the API payload format.

Manage customer records with this MCP Server

This integration exposes client management tools directly to your coding agent. The editor calls `create_customer`, `get_customer`, and `list_customers` to sync developer accounts with your production database during testing cycles. Monitoring operational velocity is straightforward. Your agent uses `get_activity` and `list_timesheets` to pull recent logs and developer hours, letting you build automated daily reports right inside your terminal.

Setup guide

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

.cursor/mcp.json

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

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Common questions about HiFlow MCP in Cursor

Add the MCP Server details to your global or project-specific `mcp.json` file. Once saved, enable Agent mode in the chat panel to let the editor invoke the tools during your coding sessions.

Yes, the agent calls `get_invoice` to fetch real billing structures. This lets it write precise data-handling code based on actual payload shapes instead of mock files.

It does. Your agent invokes `list_timesheets` to pull log histories and inject them directly into your active workspace files or reports.

Yes, you can tell the editor to run `create_customer` to generate actual records in your development environment.

Your invoices, estimates, and customer details remain strictly within your local editor context. This MCP Server processes these payloads inside an isolated memory container, ensuring your commercial data is never stored or used to train public models.

Use it with your favorite AI tools

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

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