How to Use the Fliki (AI Text-to-Video & Speech API) MCP in VS Code Copilot

Q: How do we check render progress using Fliki (AI Text-to-Video & Speech API) in VS Code Copilot?

Ask Copilot to check the status, which triggers getvideo using your job ID. The editor displays the rendering percentage in real-time.

Q: Can we filter voice styles using Fliki (AI Text-to-Video & Speech API) inside VS Code Copilot?

Yes, you call listvoices to view the full directory of available narrators. Copilot filters them by language and gender to help you choose.

Turn markdown documentation into complete video assets directly inside VS Code Copilot using this media MCP Server.

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Connect Fliki (AI Text-to-Video & Speech API) MCP to VS Code Copilot

Create your Vinkius account to connect Fliki (AI Text-to-Video & Speech API) 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 Fliki (AI Text-to-Video & Speech API) with VS Code Copilot

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Document-to-Video Workflows

The `generate_video` tool converts your workspace markdown files into fully produced videos using your team's shared configuration. It processes the text, applies your specified voice, and initiates the render with a single command. This allows engineering teams to generate documentation videos directly alongside their code. You update the markdown, and Copilot triggers the video update without leaving the workspace.

Shared Voice Registries

The `list_voices` tool retrieves the active voice roster to ensure your team uses consistent audio profiles across all generated media. Copilot reads this registry to validate voice selections before starting a render. This keeps your brand voice uniform across different developer machines. Your team can reference the exact same voice IDs in your shared repository configuration.

Team-Wide Render Pipelines via MCP Server

The `get_video` tool tracks the status of active video renders and delivers the final download link directly to your terminal or chat window. Copilot monitors the queue so your team knows exactly when assets are ready. This eliminates the need for individual developers to manage separate video rendering queues. The status is checked programmatically, and the final MP4 link is shared directly in the workspace.

Setup guide

Set up Fliki (AI Text-to-Video & Speech API) 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 Fliki (AI Text-to-Video & Speech API) 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 Fliki (AI Text-to-Video & Speech API) tools listed. Try asking: "List my recent Fliki (AI Text-to-Video & Speech API) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "fliki-ai-text-to-video-speech-api-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Fliki (AI Text-to-Video & Speech API) MCP in VS Code Copilot

Yes, you commit the MCP Server configuration to your shared repository. Every developer on the team can then access the video tools.

Ask Copilot to check the status, which triggers `get_video` using your job ID. The editor displays the rendering percentage in real-time.

Yes, you call `list_voices` to view the full directory of available narrators. Copilot filters them by language and gender to help you choose.

The server returns high-quality MP4 video files. You retrieve the direct download link as soon as the rendering status is marked as complete.

Your API keys are stored locally in your user settings and never committed to the repository. Video scripts are sent directly to the rendering API over encrypted connections.

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