How do I get an Elai.io API Key?

Log in to your Elai.io account, navigate to **Account Settings** → **API**, and you can generate or retrieve your unique API Key from there. API access may require a specific plan.

Can the agent render videos automatically?

Yes, you can use the trigger_video_rendering tool to start the rendering process for any existing video project directly via the agent.

Does the integration show final video URLs?

Yes, once a video has finished rendering (status: ready), the agent can retrieve the final output URL through the get_video_details tool.

Elai AI Video MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Elai AI Video
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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

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

Download Free Open SourceNo signup required

Classic Setup·json

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

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 Elai AI Video MCP Server

Integrate Elai.io, the leading AI video generation platform, directly into your AI workflow. Manage your video projects and rendering statuses, track available AI avatars and voices, monitor templates and languages, and oversee your video production using natural language.

GitHub Copilot Agent mode brings Elai AI Video 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

Video Oversight — List and retrieve detailed information and status for all your AI video projects and renders.
Avatar Intelligence — Access the avatar registry to monitor available AI presenters, their unique identifiers, and preview thumbnails.
Content Management — Monitor video templates, supported languages, and high-quality AI voices for automated narration.
Production Auditing — Retrieve high-level summaries of rendering progress, remaining account minutes, and organizational metadata instantly.

The Elai AI Video 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 Elai AI Video to VS Code Copilot via MCP

Follow these steps to integrate the Elai AI Video 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 Elai AI Video

Ask Copilot: "Using Elai AI Video, help me..." — 10 tools available

Why Use VS Code Copilot with the Elai AI Video MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Elai AI Video 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

Elai AI Video + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Elai AI Video 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

Elai AI Video MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Elai AI Video to VS Code Copilot via MCP:

create_new_ai_video

Create a new AI video from a template or text script

get_elai_account_metadata

Retrieve metadata and credit balance for your Elai account

get_video_details

Get detailed settings and rendering status for a specific video

list_ai_videos

List all AI videos created in your Elai account

list_available_avatars

List all AI avatars available for video generation

list_available_voices

List all AI voices and languages supported for video narration

list_latest_video_projects

Identify the most recently created or updated video projects

list_successfully_rendered_videos

Identify videos that have finished rendering and are ready for download

list_video_templates

List all video templates available in your account

trigger_video_rendering

Start the rendering process for a specific video project

Example Prompts for Elai AI Video in VS Code Copilot

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

"List all my AI video projects."

"Show me the available AI avatars."

"Check the status of video 'VID-12345'."

Troubleshooting Elai AI Video MCP Server with VS Code Copilot

Common issues when connecting Elai AI Video 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.

Elai AI Video + VS Code Copilot FAQ

Common questions about integrating Elai AI Video 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.