How to Use the AI Receptionist MCP in VS Code Copilot

Give your engineering team direct access to AI Receptionist call data right inside VS Code Copilot.

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Connect AI Receptionist MCP to VS Code Copilot

Create your Vinkius account to connect AI Receptionist 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 AI Receptionist with VS Code Copilot

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Shared MCP Server Configuration

The AI Receptionist MCP Server tools deploy across your entire engineering department instantly. You drop the connection details into your `.vscode/mcp.json` file, commit it to the repository, and everyone gets access to `list_aireceptionist_conversations` immediately. Onboarding new developers takes zero effort. They clone the repo, open the editor, and their agent can immediately call `get_aireceptionist_analytics` to understand how the phone system performs.

Customer Context Injection

Fixing bug reports is faster when you know exactly what the user said. Your agent runs `get_aireceptionist_conversation` to pull the exact transcript of the complaint directly into your chat panel. Understanding the system configuration happens without leaving the IDE. The agent executes `list_aireceptionist_knowledge` to check the exact rules the automated system uses to answer questions.

Booking System Architecture

Designing an internal calendar tool requires understanding the existing appointment structure. You ask the agent to hit `list_aireceptionist_bookings` so you can see how upcoming slots are formatted. Validating your new integration is straightforward. The agent triggers `create_aireceptionist_booking` to push a test appointment through the system while you watch the logs.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "ai-receptionist-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 AI Receptionist. 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 AI Receptionist MCP in VS Code Copilot

Add the MCP configuration to a .vscode/mcp.json file at the root of your project. Commit that file to Git, and every developer gets the tools automatically.

Yes, it pulls performance data directly into your editor. Your team can review call metrics without asking the support team for a CSV export.

You need version 1.96 or higher for this to function. Older versions do not support the MCP protocol required to connect external tools.

Just ask the chat panel to list them. It queries the active endpoints so you can verify your local development server is receiving events.

Security is handled through strict SOC 2 compliant protocols. Your voice transcripts and customer queries traverse a locked-down, ephemeral sandbox. No data persists after the connection terminates.

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