Hive AI MCP Server
Automate content moderation via Hive AI — moderate text, images, video, and detect AI-generated content directly from any AI agent.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Hive AI MCP Server?
The Hive AI MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Hive AI via 10 tools. Automate content moderation via Hive AI — moderate text, images, video, and detect AI-generated content directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Hive AI
Ask your AI agent "Moderate this text for safety: 'I will destroy everything you love.'" and get the answer without opening a single dashboard. With 10 tools connected to real Hive AI data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Hive AI MCP Server capabilities
10 toolsIdentify if an image was created using generative AI (e.g., Midjourney, DALL-E)
Detect if a block of text was generated by an AI model (e.g., GPT-4)
Retrieve the final moderation results for a completed task
Use the task ID returned when the task was created. Check the status of an asynchronous moderation task
Retrieve information and configuration for your Hive AI project
List all Hive AI models available for your project
Returns a task ID. Start an asynchronous moderation task for an audio file
Provide a publicly accessible URL. Perform real-time image moderation using a URL
Use this to verify user-generated content before publication. Perform real-time text moderation for safety and compliance
Returns a task ID for later status checking. Start an asynchronous moderation task for a video file
What the Hive AI MCP Server unlocks
Connect your Hive AI moderation account to any AI agent and take full control of your content safety and compliance workflows through natural conversation.
What you can do
- Real-time Moderation — Perform synchronous moderation for text and images to filter hate speech, violence, and NSFW content instantly.
- AI Content Detection — Identify if text, images, or audio were created using generative AI models like GPT-4, Midjourney, or DALL-E.
- Asynchronous Processing — Submits large video and audio files for deep moderation and speech-to-text analysis.
- Task Monitoring — Track the status and retrieve results for background moderation tasks using unique task IDs.
- Model Insights — List available Hive AI models and retrieve project-specific configurations for both visual and text projects.
- Compliance Oversight — Access detailed moderation scores and classes to ensure your platform remains safe and professional.
How it works
1. Subscribe to this server
2. Enter your Hive AI Visual and Text project API Keys
3. Start moderating content from Claude, Cursor, or any MCP-compatible client
No more manual review of every user-generated post. Your AI assistant acts as a dedicated Content Safety Lead or Trust & Safety Specialist.
Who is this for?
- Trust & Safety Teams — instantly retrieve moderation scores for flagged content and automate filtering rules.
- Community Managers — monitor real-time chat and image uploads to maintain community standards.
- Platform Developers — integrate deep content analysis and AI detection into your application's data flow.
Frequently asked questions about the Hive AI MCP Server
How do I find my Hive AI API Keys?
Log in to your Hive AI dashboard, select a project (e.g., a Visual or Text project), and navigate to the Settings or API section. Note that each project type requires its own unique API key.
What is the difference between Synchronous and Asynchronous moderation?
Synchronous moderation (moderate_text, moderate_image) returns results instantly and is best for real-time interactions. Asynchronous moderation (moderate_video_async) is used for larger files and requires polling the task status or using a callback.
Can this integration detect deepfakes or AI-generated voices?
Yes! Hive AI provides specialized models for detecting AI-generated content across text, images, video, and audio. Use the detect_ai_generated_text and detect_ai_generated_image tools for these checks.
Is the integration secure for sensitive content?
Absolutely. The integration uses official Hive AI Token authentication over HTTPS. Your credentials and analyzed content are encrypted and stored securely within the Vinkius Cloud infrastructure.
More in this category
You might also like
Connect Hive AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Hive AI MCP Server
Production-grade Hive AI MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






