How to Use the UpGuard MCP in CrewAI

Q: Can I use CrewAI to coordinate multiple UpGuard checks?

Yes. You assign specialized roles: one agent calls listuserrisks, and another takes that output, analyzes it, and then decides which remediation tool should run next.

Run specialized teams of agents to monitor security assets with CrewAI and UpGuard MCP Server.

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Connect UpGuard MCP to CrewAI

Create your Vinkius account to connect UpGuard 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 UpGuard with CrewAI

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Autonomous Asset Monitoring

You can set up a monitoring agent that runs `list_monitored_domains` daily. A second analyst agent reviews this output, cross-referencing the domains with active account risks found via `list_account_risks`. The crew handles both research and analysis.

Collaborative Vendor Risk Assessment

Assign one agent to gather all monitored vendors using `list_vendors`. A second, specialized agent then iterates through that list, calling `list_vendor_risks` for each one. The shared memory ensures the full context of the assessment is maintained.

Escalating Identity Threats

A monitor agent watches user risk data by running `list_user_risks`. If it finds several high-risk users, a separate moderator agent takes over. The moderator uses the collected reports to generate a summary report for human review, completing an autonomous response cycle.

Setup guide

Set up UpGuard 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 UpGuard tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

The MCP Server handles sensitive user and identity breach records. The architecture isolates this data access, ensuring that the agent's actions are based on tool outputs without exposing underlying system credentials.

Yes. You assign specialized roles: one agent calls `list_user_risks`, and another takes that output, analyzes it, and then decides which remediation tool should run next.

The crew handles structured results like asset lists (IPs, domains), vendor reports, and user risk metrics. This structure allows the agents to collaborate effectively.

It does. The combination of the robust MCP Server tools and CrewAI's multi-agent framework lets you build complex, non-stop operations without needing human intervention.

The server touches user risk data, vendor details, account risks, and identity breach records. These are the core assets that drive your autonomous monitoring efforts.

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