How to Use the Hive AI MCP in Claude Code

Run headless moderation checks on your build artifacts using Claude Code.

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Connect Hive AI MCP to Claude Code

Create your Vinkius account to connect Hive AI 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 Hive AI with Claude Code

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Scan pull requests for synthetic media

The `detect_ai_generated_text` tool identifies LLM-written copy inside your documentation or codebase. You run Claude Code in your terminal, point it at a PR, and it flags generated filler. This keeps your technical docs human-readable and accurate. If a PR includes new assets, the `detect_ai_generated_image` tool checks the image URLs for generative artifacts. Claude Code executes this entirely headless. You pipe the output straight into your CI/CD pipeline to block synthetic commits automatically.

Automate compliance checks in CI/CD

The `moderate_text` tool analyzes strings for compliance violations directly from your shell. SREs don't have time to review localization files manually. You script Claude Code to read your JSON language packs and run the text moderation tool across every value. The `moderate_image` tool handles the visual side by scoring public URLs against safety policies. Claude Code can pull every image link from your staging environment and verify them in one terminal command. It fails the build if anything violates your threshold.

Script video checks via Claude Code MCP Server

The `moderate_video_async` tool dispatches large video files for processing and hands back a task ID. Video moderation blocks CI pipelines if you wait synchronously. Claude Code triggers the scan and exits, letting your other tests run. A separate cron job uses the `get_async_task_status` tool to check on the video processing. Once complete, your terminal script pulls the results and updates the database. You get heavy media moderation without tying up your deployment runners.

Setup guide

Set up Hive AI 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 hive-ai-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http hive-ai-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 Hive AI 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": {
    "hive-ai-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hive AI. 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 Hive AI MCP in Claude Code

Run the add command with the transport flag in your terminal. For example: claude mcp add --transport http hive-ai -- . Verify the installation by running claude mcp list.

Yes. You can install the CLI in your runner environment, authenticate with your API key, and execute headless moderation checks as part of your deployment steps.

The server supports HTTP transport. Ensure you specify the correct transport flag before the server name when adding it to your configuration.

Pass your API key as an environment variable in your CI/CD secrets. The CLI reads the environment and authenticates the tool requests automatically.

Claude Code transmits your standard input strings and media URLs across a zero-trust boundary. The external moderation engine evaluates the bytes and returns a score, dropping the input immediately. Your local build artifacts are never cached externally.

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