How to Use the GPTZero MCP in CrewAI

Q: Can I filter which tools my agents access?

Yes. Use the toolfilter parameter in your crew setup to limit agents to specific functions like detection, while keeping administrative tools for your supervisor agent.

Deploy autonomous agent crews with GPTZero to monitor and moderate content at scale.

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Connect GPTZero MCP to CrewAI

Create your Vinkius account to connect GPTZero 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 GPTZero with CrewAI

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Autonomous moderation crews

Assign a 'Moderator' agent to run `detect_ai_in_text` across all incoming submissions. This agent acts independently, flagging content that doesn't meet your human-written standards. Your crew handles the entire process. Agents collaborate to filter, analyze, and escalate issues without your constant input.

Shared memory for detection history

Use the shared memory feature to store results from `detect_ai_in_text`. Other agents in the crew can access this history to identify patterns in repetitive low-quality submissions. This reduces redundant calls to the API. Your crew becomes more efficient as it builds a knowledge base of flagged content.

System health and quota management

Deploy a 'Monitor' agent tasked with running `check_api_health` and `get_api_quotas`. It ensures the crew has the resources to continue its work without interruption. If the agent detects low credits, it can trigger an alert to your team. It keeps your autonomous operations running smoothly.

Setup guide

Set up GPTZero 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 GPTZero tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent GPTZero 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="GPTZero Analyst",
        goal="Access and analyze GPTZero data via MCP.",
        backstory="Expert analyst with direct GPTZero access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent GPTZero 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 GPTZero. 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 GPTZero MCP in CrewAI

Yes. You add the MCP server URL to your agent's configuration, and the agents will treat the tools as native capabilities for their assigned roles.

You define specific agents for specific tasks. One agent can be dedicated to running detection, while another interprets the output using the guide tool.

It is. The toolset allows your agents to perform diagnostic checks on text and report back, effectively automating your content review pipeline.

Your text data is processed through the Vinkius sandbox, ensuring it remains isolated. No data is stored beyond the scope of your analysis request.

Yes. Use the tool_filter parameter in your crew setup to limit agents to specific functions like detection, while keeping administrative tools for your supervisor agent.

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