UpCloud MCP Server for Pydantic AIGive Pydantic AI instant access to 46 tools to Assign Ip, Backup Storage, Clone Storage, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect UpCloud through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The UpCloud MCP Server for Pydantic AI is a standout in the Developer Tools category — giving your AI agent 46 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to UpCloud "
"(46 tools)."
),
)
result = await agent.run(
"What tools are available in UpCloud?"
)
print(result.data)
asyncio.run(main())
* 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.
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.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 ip on UpCloud
Assign a new IP address
Backup storage on UpCloud
Create a storage backup
Clone storage on UpCloud
Clone a storage
Create api token on UpCloud
Create a new API token
Create database on UpCloud
Create a managed database instance
Create firewall rule on UpCloud
Create a firewall rule for a server
Create kubernetes cluster on UpCloud
Create a Managed Kubernetes cluster
Create load balancer on UpCloud
Create a managed load balancer
Create network on UpCloud
Create a new SDN private network
Create object storage on UpCloud
Create a Managed Object Storage service
Create router on UpCloud
Create a router
Create server on UpCloud
Create a new server
Create storage on UpCloud
Create a new storage
Delete server on UpCloud
Delete a server
Export audit logs on UpCloud
Export account audit logs
Get account on UpCloud
Get UpCloud account information
Get billing summary on UpCloud
Get monthly billing summary
Get host on UpCloud
Get host details
Get kubernetes kubeconfig on UpCloud
Get Kubernetes cluster credentials (kubeconfig)
Get server on UpCloud
Get detailed server information
Import storage on UpCloud
Import data to storage
List api tokens on UpCloud
List API tokens
List audit logs on UpCloud
List account audit logs
List database types on UpCloud
List available database types and plans
List databases on UpCloud
List managed database services
List firewall rules on UpCloud
List firewall rules for a server
List hosts on UpCloud
List available hosts
List ips on UpCloud
List all IP addresses
List kubernetes clusters on UpCloud
List Managed Kubernetes (UKS) clusters
List load balancers on UpCloud
List managed load balancer services
List networks on UpCloud
List all SDN private networks
List object storages on UpCloud
List Managed Object Storage services
List prices on UpCloud
List resource prices
List routers on UpCloud
List routers
List servers on UpCloud
List all servers
List storages on UpCloud
List all accessible storages
List zones on UpCloud
List available zones
Release ip on UpCloud
Release an IP address
Restart server on UpCloud
Restart a server
Restore storage on UpCloud
Restore storage from backup
Start server on UpCloud
Start a server
Stop server on UpCloud
Stop a server
Update ip on UpCloud
Modify PTR record or floating IP attachment
Update network on UpCloud
Modify network details
Update server on UpCloud
Modify server configuration
Update storage on UpCloud
Modify or resize storage
Connect UpCloud to Pydantic AI via MCP
Follow these steps to wire UpCloud into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the UpCloud MCP Server
Pydantic AI provides unique advantages when paired with UpCloud through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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
Dependency injection system cleanly separates your UpCloud connection logic from agent behavior for testable, maintainable code
UpCloud + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the UpCloud MCP Server delivers measurable value.
Type-safe data pipelines: query UpCloud with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple UpCloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query UpCloud and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock UpCloud responses and write comprehensive agent tests
Example Prompts for UpCloud in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting UpCloud to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiUpCloud + Pydantic AI FAQ
Common questions about integrating UpCloud MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
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