How to Use the Levo.ai (API Security & Observability) MCP in CrewAI

Q: How do I define a Levo.ai (API Security & Observability) crew for CrewAI?

Pass the MCP URL into the agent's mcps parameter. This gives your agents immediate access to the entire Levo toolset.

Deploy autonomous security crews with the Levo.ai (API Security & Observability) MCP Server for CrewAI.

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Connect Levo.ai (API Security & Observability) MCP to CrewAI

Create your Vinkius account to connect Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) with CrewAI

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Autonomous monitoring with CrewAI

Assign a dedicated agent to run `list_observations` continuously. Your crew keeps watch on runtime behavior without you needing to check the dashboard. When the monitor detects an anomaly, it hands the task to a researcher agent. That agent uses `get_observation` to gather the context needed for a human response.

Collaborative threat hunting

Let your specialized agents share memory when analyzing `list_vulnerabilities` output. One agent lists the threats, while another prioritizes them based on endpoint criticality. They work together to produce a summary report. You only step in when the crew flags a critical issue that requires a policy change.

Automated security audits

Task your crew with generating regular reports using `list_applications` and `list_catalog_endpoints`. They map your entire surface area and flag any undocumented APIs. This creates an automated audit trail for your compliance team. The crew runs these checks on a schedule, ensuring you stay ahead of shadow API growth.

Setup guide

Set up Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Levo.ai (API Security & Observability) 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="Levo.ai (API Security & Observability) Analyst",
        goal="Access and analyze Levo.ai (API Security & Observability) data via MCP.",
        backstory="Expert analyst with direct Levo.ai (API Security & Observability) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Levo.ai (API Security & Observability) 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 Levo.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 Levo.ai (API Security & Observability) MCP in CrewAI

Pass the MCP URL into the agent's `mcps` parameter. This gives your agents immediate access to the entire Levo toolset.

They do. You assign specific tools to specific roles, so your auditor agent doesn't get distracted by data that only the responder agent needs.

Yes. You can structure your crew so a manager agent evaluates the output of a worker agent before deciding on the next security action.

You provide the Vinkius endpoint token. The framework manages the persistent connection while your agents execute their assigned tasks.

No. The server provides diagnostic hashes and metadata. The agents receive only the information needed to evaluate security posture, never the raw sensitive data itself.

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