How to Use the Dailymotion MCP in VS Code Copilot

Q: Can I use VS Code Copilot to delete videos from Dailymotion?

Yes. Your agent can call deletevideo to remove obsolete files or test uploads directly from your workspace.

Q: How do I verify my Dailymotion channel metrics inside VS Code Copilot?

Ask Copilot for your channel stats, and it will trigger getuser to display your total views, video count, and account details in the chat.

Q: Does this MCP Server support searching for public videos?

Yes. Your agent can run searchvideos to find public content and retrieve its metadata for testing or curation.

Manage your Dailymotion channel and automate video metadata updates directly inside VS Code Copilot.

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Connect Dailymotion MCP to VS Code Copilot

Create your Vinkius account to connect Dailymotion 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 Dailymotion with VS Code Copilot

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Automate video publishing pipelines in VS Code Copilot

`get_upload_url` initiates your video publishing pipeline by requesting a secure upload endpoint. Your agent uses this to push assets and calls `publish_video` to make them live. By committing the MCP configuration to your repository, every developer on the team gets access to these tools, standardizing how you interact with the video platform.

Query Dailymotion video details during code reviews

`get_video` retrieves live stream URLs and tags to help you verify video configurations during code reviews. This lets you double-check that your code handles different video formats correctly. This integration makes it simple to cross-reference your database records with live API data, reducing bugs during feature rollouts.

Bulk update video tags and channels from your editor

`update_video` applies SEO changes and tag updates across your entire video catalog. Copilot can fetch your current list using `list_videos` and apply the changes in seconds. You can also query `list_channels` to verify you are using the correct category targets, keeping your library organized and searchable using this MCP Server.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "dailymotion-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 Dailymotion. 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 Dailymotion MCP in VS Code Copilot

Yes. Your agent can call `delete_video` to remove obsolete files or test uploads directly from your workspace.

Ask Copilot for your channel stats, and it will trigger `get_user` to display your total views, video count, and account details in the chat.

Yes. You can commit the configuration to your project's repository, allowing the entire team to use the tools during development.

Yes. Your agent can run `search_videos` to find public content and retrieve its metadata for testing or curation.

The integration runs inside a secure local sandbox, ensuring your authentication tokens and video metadata are never exposed to external servers.

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