How to Use the Landbot MCP in Cursor

Q: Can Cursor generate a Python script to list all my Landbot customers?

Yes. Instruct the agent to use the listlandbotcustomers tool and generate a Python script to parse the results. It will use the live API response to build the code.

Q: How do I test sending a WhatsApp message from Landbot using Cursor?

Tell the agent to use the sendwhatsapptemplate tool with a specific template name and recipient. It will execute the call, and you can verify the message on your test device.

Q: Is it possible to find a Landbot customer's details and update a field from Cursor?

Definitely. Chain two commands. First, ask the agent to getcustomerdetails. Then, tell it to use that data to call updatecustomerfield with a new value for a specific property.

Q: How do I check my Landbot API status in Cursor?

Just ask the agent to run getaccountinfo. It will return the current status of the Landbot API connection, which is useful for debugging your integration scripts.

Inject live Landbot customer data and bot logic directly into your code with Cursor's agent.

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Connect Landbot MCP to Cursor

Create your Vinkius account to connect Landbot 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 Landbot with Cursor

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Generate Code with Live Landbot Data

This is for when you're building an integration and need real data, not mock JSON. Tell Cursor's agent to `get_customer_details` for a test user. It will call the Landbot API and inject the actual user object right into your editor, so you can build your functions against the real schema. The same goes for your bots and agents. You can use `list_active_bots` or `list_team_agents` to get IDs and names, then have the agent generate loops or selection logic using that live data. It kills the guesswork.

Prototype Bot Triggers in Your Editor

Stop switching to Postman to test Landbot API calls. From your editor, you can have the agent fire `trigger_bot_flow` with specific parameters. You'll see the result immediately, and you can debug your backend logic that listens for these events. You can also test proactive messaging. Have the agent `send_whatsapp_template` or `send_proactive_text` to a test number. This lets you confirm your message formatting and delivery without writing a full script first.

Script CRM Updates with this MCP Server

Need to write a script that updates customer records in Landbot? Use the `update_customer_field` tool inside Cursor. The agent can generate the necessary code and even run a test update for you, confirming the change went through. This MCP Server connects your editor directly to your customer support flow. You can even generate code that programmatically triggers a `handoff_to_agent` based on custom logic you're writing, all populated with real data from your Landbot account.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "landbot-alternative-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 Landbot. 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 Landbot MCP in Cursor

Yes. Instruct the agent to use the `list_landbot_customers` tool and generate a Python script to parse the results. It will use the live API response to build the code.

Tell the agent to use the `send_whatsapp_template` tool with a specific template name and recipient. It will execute the call, and you can verify the message on your test device.

Definitely. Chain two commands. First, ask the agent to `get_customer_details`. Then, tell it to use that data to call `update_customer_field` with a new value for a specific property.

Just ask the agent to run `get_account_info`. It will return the current status of the Landbot API connection, which is useful for debugging your integration scripts.

It only ever touches your Landbot customer and bot configuration data when a tool is explicitly run. The connection from Cursor to the Vinkius-hosted server is encrypted. Your data isn't logged or stored; it's just passed through during the API call.

Use it with your favorite AI tools

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

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