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How to Use the Landbot MCP in VS Code Copilot

Give your whole team shared access to manage Landbot bots and users, right inside VS Code Copilot.

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Works with every AI agent you already use

…and any MCP-compatible client

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VS Code Copilot

Connect Landbot MCP to VS Code Copilot

Create your Vinkius account to connect Landbot to VS Code Copilot 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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Team-Wide Landbot Access in VS Code

This MCP Server connects your entire engineering team to your company's Landbot account. By committing the config to `.vscode/mcp.json`, every developer gets the same tools. A junior dev can use `list_active_bots` to get a bot ID without asking, while a senior dev debugs a webhook with `list_message_hooks`. This creates a single source of truth for interacting with your conversational flows. No more passing around API keys or stale Postman collections. Your team can ask Copilot to `get_customer_details` and everyone gets the same, live result.

Automate and Debug Customer Interactions

When you're building a feature that integrates with Landbot, you can test it live. Ask Copilot's agent to `trigger_bot_flow` for a staging user. You can see the interaction happen in real-time and debug your code in the same window. You can also manage support escalations directly. If you're investigating a bug, you can use `handoff_to_agent` to move a test user to a live support queue, ensuring your routing logic works as expected before deploying.

Control Proactive Messaging Campaigns

Your team can manage outbound messages without leaving the editor. Use `send_proactive_text` or `send_proactive_image` to send one-off messages. It’s a fast way for anyone on the team to test a notification or alert. For larger campaigns, you can use `send_whatsapp_template`. Because the configuration is shared, your team can build scripts around this tool, pulling customer lists with `list_landbot_customers` and then iterating through them to send messages.

Setup guide

Set up Landbot MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the Landbot MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the Landbot tools listed. Try asking: "List my recent Landbot transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "landbot-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Landbot MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your project's root directory and commit it to Git. Once anyone pulls the repo, VS Code will automatically load the Landbot MCP server for them.
Yes, that's what `update_customer_field` is for. Just tell Copilot's agent which field to change and what the new value is for a specific customer.
Ask Copilot to run the `list_team_agents` tool. It will query your Landbot account and return a list of all configured agents and their current status.
Of course. The `get_account_info` tool gives you a quick status check on the API connection and your account permissions. It's the first thing to run if you suspect a problem.
The server only accesses the specific Landbot customer or bot data needed for the tool you invoke, like a customer ID for `get_customer_details`. Vinkius handles the secure connection, and since access is controlled by your repo's `.vscode/mcp.json`, you have full control over who on your team can use it.

Start using the Landbot MCP today

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We've already built the connector for Landbot. Just plug in your AI agents and start using Vinkius.

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