Open UV Index API MCP Server for Pydantic AI 4 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Open UV Index API 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
Vinkius supports streamable HTTP and SSE.
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 Open UV Index API "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in Open UV Index API?"
)
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 Open UV Index API MCP Server
Empower your AI agent to orchestrate your entire environmental safety and UV auditing workflow with the Open UV Index API, the comprehensive source for real-time ultraviolet radiation data. By connecting OpenUV.io to your agent, you transform complex atmospheric searches into a natural conversation. Your agent can instantly retrieve real-time UV indices, audit daily forecasts, and query sun protection metadata without you ever touching a weather portal. Whether you are planning outdoor activities or conducting regional environmental research, your agent acts as a real-time health consultant, ensuring your data is always precise and localized.
Pydantic AI validates every Open UV Index API tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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
- UV Auditing — Retrieve real-time UV Index data for any coordinate pair and maintain a clear view of radiation exposure.
- Forecast Oversight — Audit the daily UV forecast to understand the temporal distribution of solar intensity instantly.
- Ozone Discovery — Query atmospheric ozone levels to understand the environmental reach of radiation protection.
- Protection Intelligence — Retrieve sun safety recommendations based on current UV metadata to assist in regional health planning.
- Operational Monitoring — Check API status to ensure your safety research workflow is always operational.
The Open UV Index API MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Open UV Index API to Pydantic AI via MCP
Follow these steps to integrate the Open UV Index API MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 4 tools from Open UV Index API with type-safe schemas
Why Use Pydantic AI with the Open UV Index API MCP Server
Pydantic AI provides unique advantages when paired with Open UV Index API 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 Open UV Index API integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Open UV Index API connection logic from agent behavior for testable, maintainable code
Open UV Index API + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Open UV Index API MCP Server delivers measurable value.
Type-safe data pipelines: query Open UV Index API with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Open UV Index API tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Open UV Index API and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Open UV Index API responses and write comprehensive agent tests
Open UV Index API MCP Tools for Pydantic AI (4)
These 4 tools become available when you connect Open UV Index API to Pydantic AI via MCP:
check_api_status
Check if the Open UV service is operational
get_uv_forecast
Get UV Index forecast for a specific location
get_uv_index
Get real-time UV Index data for a specific location
get_uv_protection_guide
Get sun protection recommendations based on UV Index
Example Prompts for Open UV Index API in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Open UV Index API immediately.
"What is the real-time UV Index for latitude 37.7749 and longitude -122.4194 using Open UV?"
"Show the UV forecast for today in 'Sydney, Australia'."
"What sun protection is recommended for a UV Index of 10?"
Troubleshooting Open UV Index API MCP Server with Pydantic AI
Common issues when connecting Open UV Index API to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOpen UV Index API + Pydantic AI FAQ
Common questions about integrating Open UV Index API 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?
Connect Open UV Index API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Open UV Index API to Pydantic AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.