Open UV Index API MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Open UV Index API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Open UV Index API. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in Open UV Index API?"
)
print(response)
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.
LlamaIndex agents combine Open UV Index API tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Open UV Index API MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Open UV Index API MCP Server
LlamaIndex provides unique advantages when paired with Open UV Index API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Open UV Index API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Open UV Index API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Open UV Index API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Open UV Index API tools were called, what data was returned, and how it influenced the final answer
Open UV Index API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Open UV Index API MCP Server delivers measurable value.
Hybrid search: combine Open UV Index API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Open UV Index API to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Open UV Index API for fresh data
Analytical workflows: chain Open UV Index API queries with LlamaIndex's data connectors to build multi-source analytical reports
Open UV Index API MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect Open UV Index API to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Open UV Index API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOpen UV Index API + LlamaIndex FAQ
Common questions about integrating Open UV Index API MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.