Hive AI MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Hive AI through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Hive AI Assistant",
instructions=(
"You help users interact with Hive AI. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Hive AI"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from Hive AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Hive AI, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Hive AI MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Hive AI
Why Use OpenAI Agents SDK with the Hive AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Hive AI through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Hive AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Hive AI MCP Server delivers measurable value.
Automated workflows: build agents that query Hive AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Hive AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Hive AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Hive AI to resolve tickets, look up records, and update statuses without human intervention
Hive AI MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Hive AI to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Hive AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Hive AI + OpenAI Agents SDK FAQ
Common questions about integrating Hive AI MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.