Open UV Index API MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Open UV Index API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Open UV Index API Assistant",
instructions=(
"You help users interact with Open UV Index API. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Open UV Index API"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 4 tools from Open UV Index API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Open UV Index API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Open UV Index API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 4 tools from Open UV Index API
Why Use OpenAI Agents SDK with the Open UV Index API MCP Server
OpenAI Agents SDK provides unique advantages when paired with Open UV Index API through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Open UV Index API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Open UV Index API MCP Server delivers measurable value.
Automated workflows: build agents that query Open UV Index API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Open UV Index API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Open UV Index API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Open UV Index API to resolve tickets, look up records, and update statuses without human intervention
Open UV Index API MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect Open UV Index API to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Open UV Index API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Open UV Index API + OpenAI Agents SDK FAQ
Common questions about integrating Open UV Index API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.