How to Use the Hive AI MCP in CrewAI

Q: Can I filter which Hive AI tools a specific agent uses?

Yes. Use the toolfilter option in your CrewAI setup to restrict agents to only the moderation tools they actually need.

Deploy specialized moderation crews using Hive AI tools in CrewAI for autonomous content safety at scale.

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Connect Hive AI MCP to CrewAI

Create your Vinkius account to connect Hive AI to CrewAI 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 CrewAI

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Specialized moderation crews with CrewAI

Assign a 'Moderator Agent' in CrewAI to run `moderate_text` and `moderate_image`. This agent acts as a gatekeeper for your entire content production process. Other agents in the crew rely on this moderator's output. It ensures no harmful content reaches your output stage without a specific safety check.

Autonomous media scanning with CrewAI

Use `moderate_video_async` to offload media scanning to an agent dedicated to safety. The CrewAI agent initiates the task and returns to other work while the analysis runs. It keeps your crew efficient. The agent checks back later with `get_async_task_result` to finalize the report once the background task finishes.

Detect synthetic content across your crew

Equip your researchers with `detect_ai_generated_text` and `detect_ai_generated_image`. The CrewAI agents use these tools to verify the authenticity of incoming source material. You set the thresholds for what the crew accepts. If the tool detects high probability of synthetic content, the agent can reject the source automatically.

Setup guide

Set up Hive AI MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Hive AI tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hive AI Analyst",
    goal="Access and analyze Hive AI data via MCP.",
    backstory="Expert analyst with direct Hive AI access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Hive AI transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Hive AI Analyst",
        goal="Access and analyze Hive AI data via MCP.",
        backstory="Expert analyst with direct Hive AI access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Hive AI transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Pass the server URL to the agents in your crew. This gives them immediate access to the moderation and detection tools.

Yes. Each agent maintains its own session. You can have separate agents running moderation checks on different content pieces at the same time.

CrewAI manages the sequence. You set the order in your task list, and the agents execute the moderation checks in the exact order you define.

Yes. Use the tool_filter option in your CrewAI setup to restrict agents to only the moderation tools they actually need.

We maintain strict privacy controls. Your data is processed only to perform the moderation. No user content is stored, and access is limited to your API credentials.

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