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AI Receptionist MCP Server for VS Code CopilotGive VS Code Copilot instant access to 10 tools to Create Aireceptionist Booking, Create Aireceptionist Conversation, Get Aireceptionist Analytics, and more

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Ask AI about this App Connector for VS Code Copilot

The AI Receptionist app connector for VS Code Copilot is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install AI Receptionist and 3,400+ MCP Servers from a single visual interface.

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Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "ai-receptionist": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
AI Receptionist
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About AI Receptionist MCP Server

Connect your AI Receptionist account to any AI agent and take full control of your automated customer engagement and front-desk workflows through natural conversation.

GitHub Copilot Agent mode brings AI Receptionist data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Conversation Orchestration — List and monitor inbound and outbound AI voice or chat interactions programmatically, retrieving complete high-fidelity transcripts and operational metadata in real-time
  • Booking & Appointment Intelligence — Access your complete directory of active appointments and programmatically create or manage bookings to maintain a perfectly coordinated schedule
  • Knowledge Base Discovery — Access and monitor your organizational business rules and FAQs (Knowledge Base) to coordinate how your AI receptionist interacts with clients
  • Lead & Performance Intelligence — Retrieve high-fidelity analytics on lead capture and interaction performance directly through your agent for instant operational reporting
  • Infrastructure Monitoring — Verify API connectivity, access account metadata, and monitor active webhooks to maintain a perfectly coordinated communication ecosystem

The AI Receptionist MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 AI Receptionist tools available for VS Code Copilot

When VS Code Copilot connects to AI Receptionist through Vinkius, your AI agent gets direct access to every tool listed below — spanning aireceptionist, ai-voice-api, call-transcripts, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_aireceptionist_booking

Create a booking

create_aireceptionist_conversation

Create a new conversation

get_aireceptionist_analytics

Get performance analytics

get_aireceptionist_booking

Get booking details

get_aireceptionist_conversation

Get conversation details

get_aireceptionist_me

Get current user profile

list_aireceptionist_bookings

List active bookings

list_aireceptionist_conversations

List AI conversations

list_aireceptionist_knowledge

List knowledge base articles

list_aireceptionist_webhooks

List active webhooks

Connect AI Receptionist to VS Code Copilot via MCP

Follow these steps to wire AI Receptionist into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using AI Receptionist

Ask Copilot: "Using AI Receptionist, help me...". 10 tools available

Why Use VS Code Copilot with the AI Receptionist MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with AI Receptionist through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

AI Receptionist + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the AI Receptionist MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for AI Receptionist in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with AI Receptionist immediately.

01

"List the last 5 conversations handled by the AI Receptionist."

02

"Show my active bookings for the next 7 days."

03

"Get the transcript for conversation ID '9283'."

Troubleshooting AI Receptionist MCP Server with VS Code Copilot

Common issues when connecting AI Receptionist to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

AI Receptionist + VS Code Copilot FAQ

Common questions about integrating AI Receptionist MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.