How to Use the Civo (Cloud-native Kubernetes Cloud Provider API) MCP in CrewAI

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Connect Civo (Cloud-native Kubernetes Cloud Provider API) MCP to CrewAI

Create your Vinkius account to connect Civo (Cloud-native Kubernetes Cloud Provider API) 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 Civo (Cloud-native Kubernetes Cloud Provider API) with CrewAI

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Autonomous Cluster Operations

Assign roles to your agents for total Civo management. A 'Monitor' agent can run on a schedule, calling `list_clusters` to check the health of your Kubernetes fleet. It doesn't act, it just observes and reports to shared memory. When the 'Monitor' spots a degraded node, it passes the cluster ID to a 'Maintenance' agent. This specialist agent has one job: run `recycle_cluster_node` on the specified target to restore service. Your crew just handled an incident without paging you.

Proactive Security Agent Crew

Build a security team that never sleeps. An 'Auditor' agent can periodically `list_firewall_rules` across all your firewalls, comparing them against a list of approved ports. It can also run `list_ssh_keys` to ensure no unauthorized keys have been added. If the 'Auditor' finds a violation—like port 22 open to the world—it tasks a 'Remediation' agent. This agent could either automatically remove the offending rule or, for a less aggressive setup, simply create a high-priority ticket for a human to review.

A CrewAI Crew for Civo Cost Control

Set up a financial crew to watch your Civo bill. One 'Analyst' agent's only job is to call `get_charges` and `get_quota` every hour, posting the results to a shared context. It identifies trends and potential overages. An 'Optimizer' agent reads that context. If it sees idle resources from `list_instances` or notices costs trending over budget, it can take action. It might task a 'Terminator' agent to `stop_instance` on unused compute or alert a human that the budget is at risk. This MCP Server provides the tools your agents need to act.

Setup guide

Set up Civo (Cloud-native Kubernetes Cloud Provider API) 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 Civo (Cloud-native Kubernetes Cloud Provider API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Civo (Cloud-native Kubernetes Cloud Provider API) 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="Civo (Cloud-native Kubernetes Cloud Provider API) Analyst",
        goal="Access and analyze Civo (Cloud-native Kubernetes Cloud Provider API) data via MCP.",
        backstory="Expert analyst with direct Civo (Cloud-native Kubernetes Cloud Provider API) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Civo (Cloud-native Kubernetes Cloud Provider API) 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 Civo. 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 Civo (Cloud-native Kubernetes Cloud Provider API) MCP in CrewAI

Yes. You can create a crew where one agent monitors cluster health using `list_clusters` and another agent performs actions like `recycle_cluster_node` when a problem is detected. This allows for self-healing, autonomous management.

Assign one agent the role of 'Auditor' and give it access to tools like `list_firewall_rules` and `list_ssh_keys`. Have it run on a schedule. If it finds an issue, it can delegate the task of fixing it to another specialized 'Security' agent.

Absolutely. Create an 'Analyst' agent in your crew to monitor `get_charges`. If costs are too high, it can task an 'Optimizer' agent to use `list_instances` to find and `stop_instance` on idle machines, directly reducing your Civo bill.

Agents share information via the crew's shared context or by passing outputs as inputs to the next agent in a sequence. For example, an agent using `list_instances` can pass a specific instance ID to another agent tasked with calling `reboot_instance`.

Vinkius only handles the Civo API key you provide, which is needed to authenticate the tools. This key is encrypted and used within a zero-trust, ephemeral runtime for your CrewAI session. No data about your infrastructure, like instance IPs or hostnames, is ever stored by Vinkius.

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