How to Use the Landbot MCP in VS Code Copilot

Q: How do I enable Landbot tools for my team in VS Code Copilot?

Create a .vscode/mcp.json file in your project's root directory and add the Vinkius server configuration. Commit this file to your Git repository, and everyone on your team will have access to the Landbot tools instantly.

Q: Can I use VS Code Copilot to find a specific Landbot user's chat history?

Yes. You can ask Copilot's agent to use the searchcustomers tool with a user's email. Once you have the customer ID, you can use getmessages to pull their complete conversation transcript right into your editor.

Q: Can I trigger a message to a Landbot user from VS Code Copilot?

You can. The sendtextmessage tool lets your agent send messages programmatically. After diagnosing an issue, you can ask Copilot to send a confirmation or update directly to the customer in their chat.

Equip your engineering team with Landbot tools inside VS Code Copilot for consistent support workflows.

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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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Setup Landbot with VS Code Copilot

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Standardize tools for your whole team

Add the Landbot MCP server config to a `.vscode/mcp.json` file and commit it to your repository. That's it. Now every developer on the team gets the same set of Landbot tools in their VS Code Copilot instance, automatically. No more individual setups or passing around API keys. New hires clone the repo and they're ready to go. This ensures your entire team is using the same verified methods to `get_customer` data or `assign_agent` tasks, creating a consistent workflow.

Resolve support tickets in your IDE

A support engineer gets a ticket with a customer email. Right in VS Code, they can ask Copilot to find that user with `search_customers`. Then, they can pull the entire conversation history with `get_messages` to see what went wrong. Once the issue is diagnosed, they don't even have to leave the editor. They can ask Copilot to `send_text_message` to the customer, confirming the fix is in place. The whole ticket lifecycle happens in one place, which is a huge time-saver.

Automate bot maintenance and checks

Your team can build internal scripts and run checks from the comfort of VS Code. Need to see what bots are running? Ask Copilot to `list_bots`. Want to verify a specific bot's configuration? Use `get_bot` with its ID. This MCP server makes routine checks simple. It turns Copilot from a code completion tool into an active participant in your operations. It has the context and the ability to interact directly with your Landbot environment.

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

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

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

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

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-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 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 VS Code Copilot

Create a `.vscode/mcp.json` file in your project's root directory and add the Vinkius server configuration. Commit this file to your Git repository, and everyone on your team will have access to the Landbot tools instantly.

Yes. You can ask Copilot's agent to use the `search_customers` tool with a user's email. Once you have the customer ID, you can use `get_messages` to pull their complete conversation transcript right into your editor.

The main benefit is team-wide consistency. By committing the configuration to your repo, you ensure every developer has the same powerful, secure access to Landbot. It removes setup friction and standardizes support and debugging workflows.

You can. The `send_text_message` tool lets your agent send messages programmatically. After diagnosing an issue, you can ask Copilot to send a confirmation or update directly to the customer in their chat.

Your data's security is paramount. The MCP server operates on a zero-trust model, processing requests in transient, sandboxed environments. It only accesses the specific Landbot customer and bot details needed for a tool call and does not store this information.

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