How to Use the Beeline MCP in Cursor

Q: Can Cursor write code using Beeline API responses?

Yes. The agent executes tools like searchrequisitions, reads the actual payload, and generates typed interfaces matching your live data.

Inject live Beeline timesheet and requisition data directly into your code using Cursor.

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Connect Beeline MCP to Cursor

Create your Vinkius account to connect Beeline 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 Beeline with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build internal HR tools inside Cursor

Stop faking JSON responses when building internal dashboards. Agent mode calls `list_requisitions` and feeds real job postings straight into the component you are writing. The AI sees the exact schema returned by the API. It writes your frontend interfaces based on actual data from `get_requisition` instead of guessing the field names.

Automate vendor reporting (MCP Server)

Writing Python scripts to calculate contractor spend is tedious. Hook up this MCP Server and tell the agent to draft the logic using `list_timesheets` and `list_expenses`. Cursor tests the script by running `get_timesheet` against a real ID. You get working code that handles pagination and rate limits because the AI already interacted with the real endpoint.

Audit workforce assignments on the fly

Sometimes you need to verify contractor access rules while configuring system permissions. Ask the agent to run `list_assignments` to see exactly who is currently active. If a user ID looks wrong, Cursor fires `get_assignment` or `get_user_info` to check their status. You fix the authorization bug without ever leaving your editor.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "beeline-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 Beeline. 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 Beeline MCP in Cursor

Create an mcp.json file in your project root. Add the server command or remote URL, then turn on Agent mode in your chat panel.

Yes. The agent executes tools like `search_requisitions`, reads the actual payload, and generates typed interfaces matching your live data.

Postman just shows you the response. Cursor fetches the data and immediately writes the code required to parse and display it.

The agent reads the error message. It will adjust the parameters for `list_suppliers` or whatever tool failed and try again automatically.

Your API token lives entirely within your local configuration. The Vinkius endpoint processes your `get_user_info` requests via an isolated, temporary worker that retains zero memory of the transaction.

Use it with your favorite AI tools

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