How to Use the UpCloud MCP in CrewAI

Autonomous Cloud Operations: Let Your CrewAI Agents Manage UpCloud Infrastructure Without Human Input.

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Connect UpCloud MCP to CrewAI

Create your Vinkius account to connect UpCloud 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 UpCloud with CrewAI

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Automated Compute and Networking Management

You can assign roles to agents for cloud setup. One agent calls `create_server` while another calls `update_network`. A third specialized agent then executes `list_firewall_rules` to validate the security posture. The crew works together: if an initial network creation fails, a second agent can use `get_account` credentials and attempt to fix it by calling `create_router`.

Self-Healing Storage and Backup Routines

Design a storage monitoring crew. Agent A runs periodic checks using `list_storages`, and if data is missing, Agent B automatically calls `backup_storage`. If the backup fails, a third agent triggers a recovery attempt via `restore_storage`. This multi-agent process ensures that critical assets are always protected without manual intervention.

Credential and Access Control Automation

Build an autonomous security crew. One agent uses `list_api_tokens` to audit existing credentials, while a specialized moderator agent executes `create_api_token` when a new service needs access. This team can also manage infrastructure roles by listing available hosts with `list_hosts`, ensuring no gaps in coverage.

Setup guide

Set up UpCloud 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 UpCloud tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

CrewAI runs specialized agents that collaborate. You can assign one agent to research server details (`get_server`) and another to act by executing `stop_server` based on the findings.

Yes. The role-based specialization means you can build pipelines where one agent creates a Kubernetes cluster (`create_kubernetes_cluster`) and another agent validates its status by calling `get_kubernetes_kubeconfig`.

The crew can access financial data. A dedicated reporting agent calls `get_billing_summary`, allowing the system to automatically generate reports based on cost metrics.

Yes. You'll use a team of agents: one to list available networks (`list_networks`), another to create specific ones, and a third to manage the associated firewalls via `create_firewall_rule`.

The server manages financial records. The crew can retrieve the monthly billing summary using `get_billing_summary`, providing critical cost visibility for autonomous auditing.

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