Compatible with every major AI agent and IDE
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 Pydantic AI?
Pydantic AI validates every UpCloud tool response against typed schemas, catching data inconsistencies at build time. Connect 46 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your UpCloud integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your UpCloud connection logic from agent behavior for testable, maintainable code
UpCloud in Pydantic AI
UpCloud and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect UpCloud to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your UpCloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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