How to Use the Tuputech Moderation MCP in Claude Code

Q: Can I use Tuputech Moderation for image data with Claude Code?

Absolutely. You can run scanimagead or scanimageporn on images passed through your pipeline, making sure every single asset complies before the build finishes.

Q: What if I need Tuputech Moderation for text data in Claude Code?

You can pipe raw text into scantextspam or run it through scantextabuse. The output is a simple status code, perfect for failing your build script.

Q: Does Tuputech Moderation handle video data in Claude Code?

Yes. You can schedule a job that calls scanvideostream, treating the entire process like any other non-interactive background service check.

Run automated content checks in CI/CD pipelines using Claude Code.

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Connect Tuputech Moderation MCP to Claude Code

Create your Vinkius account to connect Tuputech Moderation to Claude Code 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 Tuputech Moderation with Claude Code

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Automate policy checks on text input

Use this server for pre-commit hooks. You can run `scan_text_abuse` or check strict political adherence with `scan_text_politics`. The output is clean, non-interactive data perfect for shell scripting.

Validate assets in a build pipeline

Need to ensure all uploaded images are safe? Run detection tools like `scan_image_synthetic` or `scan_image_terrorism`. This lets you enforce content standards on every single asset that enters your repository.

Audit live media streams in a cron job

Set up a scheduled job to monitor external feeds. You can trigger both an audio check with `scan_audio_stream` and a video scan using `scan_video_stream`, piping the results for logging.

Setup guide

Set up Tuputech Moderation MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see tuputech-moderation-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Tuputech Moderation transactions." It will automatically discover and invoke the available Tuputech Moderation tools.

Terminal

claude mcp add --transport http tuputech-moderation-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Tuputech Moderation MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about Tuputech Moderation MCP in Claude Code

You connect it via an HTTP endpoint, and then you call the function from your script. It runs fully headless, making it ideal for passing results to other tools in a chain.

Absolutely. You can run `scan_image_ad` or `scan_image_porn` on images passed through your pipeline, making sure every single asset complies before the build finishes.

You can pipe raw text into `scan_text_spam` or run it through `scan_text_abuse`. The output is a simple status code, perfect for failing your build script.

Yes. You can schedule a job that calls `scan_video_stream`, treating the entire process like any other non-interactive background service check.

This server touches text, image, video, and audio. Because it runs headlessly, you're only dealing with the structured moderation results passed through your terminal session.

Use it with your favorite AI tools

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