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How to Use the Tuputech Moderation MCP in VS Code Copilot

Standardize content moderation checks across teams with the Tuputech Moderation MCP Server for VS Code Copilot.

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VS Code Copilot

Connect Tuputech Moderation MCP to VS Code Copilot

Create your Vinkius account to connect Tuputech Moderation 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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Check images for deepfakes or ads.

As an engineering team, consistency matters. By committing `mcp.json`, every developer gets access to `scan_image_synthetic` to check uploaded media for AI manipulation. You can also enforce ad checks using `scan_image_ad`. This ensures that all new features automatically validate image integrity before the code is ever merged.

Enforce text guidelines and anti-spam.

Need to restrict what users can post? You can use `scan_text_politics` and `scan_text_abuse` across all team projects. Every developer gets the same ruleset, stopping policy violations at the source. For basic cleanup of user inputs, `scan_text_spam` is reliable for catching junk text blocks automatically.

Monitor video and audio content.

When building media pipelines, you can rely on asynchronous scans. The team config includes tools to initiate checks using `scan_audio_stream` or `scan_video_stream`. This gives a standard way to validate large files. Every developer uses the same mechanism to ensure that all video and audio assets pass moderation before deployment.

Setup guide

Set up Tuputech Moderation 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. 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. 2

    Add the Tuputech Moderation 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. 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. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the Tuputech Moderation tools listed. Try asking: "List my recent Tuputech Moderation transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "tuputech-moderation-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tuputech. 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 Tuputech Moderation MCP in VS Code Copilot

This server touches text and image data. By defining the MCP Server in a shared config, you control exactly when and how sensitive content is passed to moderation tools, ensuring compliance across your team's codebase.
Yes. Since the configuration lives within the project root (`.vscode/mcp.json`), all developers can point their agents to specific file paths for scanning, whether those files are source code or data assets.
It handles a comprehensive mix: from structured text violations (politics/spam) to complex media types. This allows your team to write highly reliable validation logic that covers multiple data domains.
Yes. The `submit_feedback` tool can be incorporated into the workflow logic, allowing your team to automatically record and categorize moderation failures for later review and model improvement.
The server processes text blocks, image files, audio streams, and video streams. This makes it ideal for enterprise teams building applications that ingest varied media content.

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