How to Use the Lindy (Autonomous AI Employees) MCP in Cursor

Q: How do I configure Lindy (Autonomous AI Employees) inside the Cursor editor?

Create a .cursor/mcp.json file in your project root and add the server configuration. Once added, Cursor's Composer or Agent mode can query your live agents and run logs.

Q: Can Cursor write code based on my active Lindy (Autonomous AI Employees) setups?

Yes, Cursor uses listlindies to fetch your active configurations. It then writes precise integration code that targets your specific agents and their custom tools.

Q: How do I check which external services are connected to my agents?

Cursor can list your active connections by calling listintegrations. This helps you verify that your code is sending payloads to a properly authenticated destination.

Build code that interacts with your autonomous Lindy agents inside Cursor using real execution data.

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Connect Lindy (Autonomous AI Employees) MCP to Cursor

Create your Vinkius account to connect Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) with Cursor

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Inject live Lindy setups into Cursor

This MCP Server brings your live Lindy configurations into your editor using `get_lindy` to pull actual mappings. This means you can build custom webhooks that match your live Lindy setups. Cursor writes the handler code based on the real tools and prompts your Lindies use, eliminating manual schema copying.

Debug live runs directly inside your editor

When your Lindy integration code fails, Cursor queries `list_runs` to show you a live execution timeline. If a Lindy run is blocked waiting for human approval, `get_run` pulls the exact state into Cursor. You can write fallback logic in your editor while looking at the actual blocked payload.

Trace execution errors with real-time logs

Skip the web console and pull raw reasoning paths of your Lindy agents directly into Cursor with `get_run_logs`. You can immediately see if a Lindy run failed or if the agent hallucinated a parameter. Cursor makes fixing these agent integration bugs as fast as fixing local compile errors.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "lindy-autonomous-ai-employees-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lindy. 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 Lindy (Autonomous AI Employees) MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the server configuration. Once added, Cursor's Composer or Agent mode can query your live agents and run logs.

Yes, Cursor uses `list_lindies` to fetch your active configurations. It then writes precise integration code that targets your specific agents and their custom tools.

Use the agent pane to ask for active executions. Cursor calls `list_runs` and `get_run` to display live statuses, letting you track task progress without leaving your workspace.

Cursor can list your active connections by calling `list_integrations`. This helps you verify that your code is sending payloads to a properly authenticated destination.

Yes, all API credentials and workspace metadata are handled via Vinkius zero-trust endpoints. No credentials are stored in your local Cursor workspace or exposed to public servers.

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