How to Use the Trengo MCP in VS Code Copilot

Q: How does VS Code Copilot use the Trengo MCP Server?

The server is configured via a shared .vscode/mcp.json file committed to your repository. When you switch Copilot Chat to Agent mode, it automatically uses these defined tools to write and run code against Trengo's API.

Q: Does the Trengo MCP Server manage ticket data with VS Code Copilot?

Yes. Your code can list all tickets using listtickets or retrieve specific conversation details (getticket). This lets your team write targeted automation that interacts directly with support records.

Q: Is the Trengo MCP Server setup reliable for a large engineering team?

It is. The configuration lives in .vscode/mcp.json, which means it's managed via Git and rolled out organization-wide, making it stable for enterprise use cases.

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Connect Trengo MCP to VS Code Copilot

Create your Vinkius account to connect Trengo 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 Trengo with VS Code Copilot

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Centralized Support Data Access via MCP Server

The best part for a team is consistency. You commit the tool configuration to `.vscode/mcp.json`, so every developer gets access to Trengo's support tools automatically. The agent can call `list_tickets` or retrieve specific details using `get_ticket`. This shared config lets your whole engineering team build reliable integrations that all use the same source of truth regarding customer communications.

Manage Team Communication Flows

Copilot Chat in Agent mode lets developers write code that interacts with Trengo's communication APIs. You can easily list channels via `list_channels`, or programmatically create new records using `create_ticket` when an event is detected. It also helps manage the people side of support, letting you pull lists of users and roles with `list_team_members`.

Build Robust Automation for Messaging

Automating messaging logic is straightforward. Your team can build functions that send alerts using `send_message`, or even set up integrations by calling `create_webhook`. This makes your code react immediately to changes in the customer conversation lifecycle. Furthermore, you'll manage all contacts and accounts using tools like `list_contacts` and `get_account_profile`, ensuring every piece of code has the right user context.

Setup guide

Set up Trengo 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 Trengo 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 Trengo tools listed. Try asking: "List my recent Trengo transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Trengo MCP in VS Code Copilot

The server is configured via a shared `.vscode/mcp.json` file committed to your repository. When you switch Copilot Chat to Agent mode, it automatically uses these defined tools to write and run code against Trengo's API.

The server covers all major communication channels: email, WhatsApp, live chat, and social media. This means your development team can build logic that handles any customer inquiry source.

Yes. Your code can list all tickets using `list_tickets` or retrieve specific conversation details (`get_ticket`). This lets your team write targeted automation that interacts directly with support records.

It is. The configuration lives in `.vscode/mcp.json`, which means it's managed via Git and rolled out organization-wide, making it stable for enterprise use cases.

It focuses on structured communication data. You'll be dealing with message content, support ticket records, and user `account_profile` details.

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