Bring Cloud Servers
to CrewAI
Learn how to connect UpCloud to CrewAI and start using 46 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your UpCloud API credentials
- Start managing your cloud infrastructure from Claude, Cursor, or any MCP-compatible client
No more jumping between browser tabs to check server statuses or billing cycles. Your AI acts as a dedicated cloud architect and DevOps assistant.
Who is this for?
- DevOps Engineers — automate server lifecycle management and infrastructure audits without leaving the terminal or IDE.
- Cloud Architects — quickly query zone availability and host details to plan high-availability setups.
- Finance & Ops — retrieve billing summaries and resource prices to maintain budget control over cloud environments.
Built-in capabilities (46)
Assign a new IP address
Create a storage backup
Clone a storage
Create a new API token
Create a managed database instance
Create a firewall rule for a server
Create a Managed Kubernetes cluster
Create a managed load balancer
Create a new SDN private network
Create a Managed Object Storage service
Create a router
Create a new server
Create a new storage
Delete a server
Export account audit logs
Get UpCloud account information
Get monthly billing summary
Get host details
Get Kubernetes cluster credentials (kubeconfig)
Get detailed server information
Import data to storage
List API tokens
List account audit logs
List available database types and plans
List managed database services
List firewall rules for a server
List available hosts
List all IP addresses
List Managed Kubernetes (UKS) clusters
List managed load balancer services
List all SDN private networks
List Managed Object Storage services
List resource prices
List routers
List all servers
List all accessible storages
List available zones
Release an IP address
Restart a server
Restore storage from backup
Start a server
Stop a server
Modify PTR record or floating IP attachment
Modify network details
Modify server configuration
Modify or resize storage
Why CrewAI?
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.
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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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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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 in CrewAI
UpCloud and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect UpCloud to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for UpCloud in CrewAI
The UpCloud 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. All 46 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
UpCloud for CrewAI
Every tool call from CrewAI to the UpCloud MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check my current account balance and resource limits?
Yes! Use the get_account tool to retrieve your current credits and resource limits directly from your UpCloud account.
How do I see which global locations are available for deployment?
Simply ask the agent to run the list_zones action. It will provide a complete list of physical sites where you can deploy your infrastructure.
Is it possible to restart a server using its ID?
Yes. By providing the server's UUID to the restart_server tool, your AI agent can trigger a reboot of that specific instance immediately.
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.
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.
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