Hive AI MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Hive AI as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="hive_ai_agent",
tools=tools,
system_message=(
"You help users with Hive AI. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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
About Hive AI MCP Server
Connect your Hive AI moderation account to any AI agent and take full control of your content safety and compliance workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Hive AI tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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.
The Hive AI MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Hive AI to AutoGen via MCP
Follow these steps to integrate the Hive AI MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Hive AI automatically
Why Use AutoGen with the Hive AI MCP Server
AutoGen provides unique advantages when paired with Hive AI through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Hive AI tools to solve complex tasks
Role-based architecture lets you assign Hive AI tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Hive AI tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Hive AI tool responses in an isolated environment
Hive AI + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Hive AI MCP Server delivers measurable value.
Collaborative analysis: one agent queries Hive AI while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Hive AI, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Hive AI data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Hive AI responses in a sandboxed execution environment
Hive AI MCP Tools for AutoGen (10)
These 10 tools become available when you connect Hive AI to AutoGen via MCP:
detect_ai_generated_image
Identify if an image was created using generative AI (e.g., Midjourney, DALL-E)
detect_ai_generated_text
Detect if a block of text was generated by an AI model (e.g., GPT-4)
get_async_task_result
Retrieve the final moderation results for a completed task
get_async_task_status
Use the task ID returned when the task was created. Check the status of an asynchronous moderation task
get_project_details
Retrieve information and configuration for your Hive AI project
list_available_models
List all Hive AI models available for your project
moderate_audio_async
Returns a task ID. Start an asynchronous moderation task for an audio file
moderate_image
Provide a publicly accessible URL. Perform real-time image moderation using a URL
moderate_text
Use this to verify user-generated content before publication. Perform real-time text moderation for safety and compliance
moderate_video_async
Returns a task ID for later status checking. Start an asynchronous moderation task for a video file
Example Prompts for Hive AI in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Hive AI immediately.
"Moderate this text for safety: 'I will destroy everything you love.'"
"Check if this image was created by AI: 'https://example.com/art.jpg'."
"Start a moderation task for this video: 'https://example.com/upload.mp4'."
Troubleshooting Hive AI MCP Server with AutoGen
Common issues when connecting Hive AI to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Hive AI + AutoGen FAQ
Common questions about integrating Hive AI MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
Connect Hive AI to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.