Can the agent place an outbound phone call for me?

Yes! Through the `createPhoneCallTool`, you can ask your agent: `Initiate a phone call to +15551234567 using our 'Sales Assistant' persona`. It will format the payload correctly and instruct Vapi to dial the human using the specified AI persona.

How can I read the transcript of an old automated voice call?

Just tell your chat assistant: `fetch the transcript details for call ID '3fbea5x...'`. The `getCallTool` reaches into Vapi, extracts the raw audio-to-text transcript logs, and the assistant can even summarize the entire human-to-AI interaction for you.

Can I tweak system prompts or models sequentially in my chat editor?

Yes, especially if you're in an IDE like Cursor. You can iterate: `Update Assistant 'Agent A' to use GPT-4o and set its prompt to 'Always be highly overly enthusiastic'`. The agent will use the `updateAssistantTool` to reconfigure the live voice persona instantly.

Vapi MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Vapi
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

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.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Vapi and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

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

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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 Vapi MCP Server

Connect your Vapi account to any AI agent and bring the power of automated voice communication into your standard conversational workspace.

GitHub Copilot Agent mode brings Vapi 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

Phone Calling — Send commands instructing the agent to place outbound human-like phone calls and establish web ringing connections through Vapi's PSTN/WebRTC capabilities.
Call Transcripts — Search through recent call logs, retrieve call details natively, and pull raw voice-to-text transcripts or conversation metrics.
Persona Engineering — Ask your chat agent to build new Vapi assistants, update their system prompts, change its specific model, or mutate Voice IDs on the fly.
Squad Routing — List available telephony numbers, tools, and multi-agent squads natively to configure advanced conversational pathways.

The Vapi 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.

How to Connect Vapi to VS Code Copilot via MCP

Follow these steps to integrate the Vapi MCP Server with VS Code Copilot.

Create MCP config

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

Add the server config

Paste the JSON configuration above

Enable Agent mode

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

Start using Vapi

Ask Copilot: "Using Vapi, help me..." — 10 tools available

Why Use VS Code Copilot with the Vapi MCP Server

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

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

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

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

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

Vapi + VS Code Copilot Use Cases

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

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

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

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

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

Vapi MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Vapi to VS Code Copilot via MCP:

create_assistant

Provide configuration for transcriber, model, and voice as a JSON string. Create a new Voice AI assistant persona

create_phone_call

Provide the phone number ID and customer details. Start a new outbound phone call via Vapi

create_web_call

Returns a web call configuration. Generate a new web-based voice call link

get_call_details

Retrieves details, transcripts, and metrics for a specific call

list_agent_tools

List all tools available to Vapi assistants

list_assistants

List all Voice AI assistants configured in Vapi

list_calls

List recent and active voice calls managed by Vapi

list_phone_numbers

List all phone numbers connected to Vapi

list_squads

List all multi-agent squads

update_assistant

Update an existing assistant configuration

Example Prompts for Vapi in VS Code Copilot

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

"List all our configured Voice assistants and their IDs."

"Get the details and full transcript for call ID 'vapi1234'."

"Update assistant 'Bot Support' to change its `model.model` parameter to `gpt-4o-mini`."

Troubleshooting Vapi MCP Server with VS Code Copilot

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

MCP tools not available

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

Vapi + VS Code Copilot FAQ

Common questions about integrating Vapi MCP Server with VS Code Copilot.

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.

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.

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.

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.