UpCloud MCP Server for CrewAIGive CrewAI instant access to 46 tools to Assign Ip, Backup Storage, Clone Storage, and more

Name: UpCloud
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to UpCloud through Vinkius, pass the Edge URL in the `mcps` parameter and every UpCloud tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The UpCloud MCP Server for CrewAI is a standout in the Developer Tools category — giving your AI agent 46 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="UpCloud Specialist",
    goal="Help users interact with UpCloud effectively",
    backstory=(
        "You are an expert at leveraging UpCloud tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in UpCloud "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 46 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

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IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About UpCloud MCP Server

Connect your UpCloud account to any AI agent to manage your high-performance cloud infrastructure through natural language. From deploying servers to monitoring resource costs, take full control of your cloud environment.

When paired with CrewAI, UpCloud becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call UpCloud tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Server Control — List, create, start, stop, and restart cloud servers across all global regions.
Storage Management — List, create, modify, and clone storage resources to scale your data needs.
Infrastructure Insights — Query available zones and physical hosts to optimize your deployment strategy.
Account & Billing — Monitor your account limits, credits, and detailed monthly billing summaries.
Pricing Transparency — Instantly list resource prices in your account's currency to manage cloud spend.

The UpCloud MCP Server exposes 46 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 46 UpCloud tools available for CrewAI

When CrewAI connects to UpCloud through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-servers, infrastructure-management, server-provisioning, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

assign

Assign ip on UpCloud

Assign a new IP address

backup

Backup storage on UpCloud

Create a storage backup

clone

Clone storage on UpCloud

Clone a storage

create

Create api token on UpCloud

Create a new API token

create

Create database on UpCloud

Create a managed database instance

create

Create firewall rule on UpCloud

Create a firewall rule for a server

create

Create kubernetes cluster on UpCloud

Create a Managed Kubernetes cluster

create

Create load balancer on UpCloud

Create a managed load balancer

create

Create network on UpCloud

Create a new SDN private network

create

Create object storage on UpCloud

Create a Managed Object Storage service

create

Create router on UpCloud

Create a router

create

Create server on UpCloud

Create a new server

create

Create storage on UpCloud

Create a new storage

delete

Delete server on UpCloud

Delete a server

export

Export audit logs on UpCloud

Export account audit logs

get

Get account on UpCloud

Get UpCloud account information

get

Get billing summary on UpCloud

Get monthly billing summary

get

Get host on UpCloud

Get host details

get

Get kubernetes kubeconfig on UpCloud

Get Kubernetes cluster credentials (kubeconfig)

get

Get server on UpCloud

Get detailed server information

import

Import storage on UpCloud

Import data to storage

list

List api tokens on UpCloud

List API tokens

list

List audit logs on UpCloud

List account audit logs

list

List database types on UpCloud

List available database types and plans

list

List databases on UpCloud

List managed database services

list

List firewall rules on UpCloud

List firewall rules for a server

list

List hosts on UpCloud

List available hosts

list

List ips on UpCloud

List all IP addresses

list

List kubernetes clusters on UpCloud

List Managed Kubernetes (UKS) clusters

list

List load balancers on UpCloud

List managed load balancer services

list

List networks on UpCloud

List all SDN private networks

list

List object storages on UpCloud

List Managed Object Storage services

list

List prices on UpCloud

List resource prices

list

List routers on UpCloud

List routers

list

List servers on UpCloud

List all servers

list

List storages on UpCloud

List all accessible storages

list

List zones on UpCloud

List available zones

release

Release ip on UpCloud

Release an IP address

restart

Restart server on UpCloud

Restart a server

restore

Restore storage on UpCloud

Restore storage from backup

start

Start server on UpCloud

Start a server

stop

Stop server on UpCloud

Stop a server

update

Update ip on UpCloud

Modify PTR record or floating IP attachment

update

Update network on UpCloud

Modify network details

update

Update server on UpCloud

Modify server configuration

update

Update storage on UpCloud

Modify or resize storage

Connect UpCloud to CrewAI via MCP

Follow these steps to wire UpCloud into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 46 tools from UpCloud

Why Use CrewAI with the UpCloud MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with UpCloud through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

UpCloud + CrewAI Use Cases

Practical scenarios where CrewAI combined with the UpCloud MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries UpCloud for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries UpCloud, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain UpCloud tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries UpCloud against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for UpCloud in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with UpCloud immediately.

"Show my UpCloud account information and credits."

"List all my active servers on UpCloud."

"Restart the server with UUID 00264663-890e-473c-9189-9e87483660c2."

Troubleshooting UpCloud MCP Server with CrewAI

Common issues when connecting UpCloud to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

UpCloud + CrewAI FAQ

Common questions about integrating UpCloud MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.