How do I find my OpenUV API Key?

Log in to your [**OpenUV account**](https://www.openuv.io/console), and you will find your API Key in your console dashboard. Copy and paste it below.

Does it support location search by coordinates?

Yes. All OpenUV tools require latitude and longitude parameters to retrieve precise regional radiation metadata.

Are sun protection recommendations included?

Yes. The `get_uv_protection_guide` tool retrieves specific safety metadata including recommended protective gear based on the current UV Index.

Open UV Index API MCP Server for CrewAI 4 tools — connect in under 2 minutes

Name: Open UV Index API
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 4 Tools Framework

Connect your CrewAI agents to Open UV Index API through Vinkius, pass the Edge URL in the `mcps` parameter and every Open UV Index API tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Open UV Index API Specialist",
    goal="Help users interact with Open UV Index API effectively",
    backstory=(
        "You are an expert at leveraging Open UV Index API tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Open UV Index API "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 4 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Open UV Index API becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Open UV Index API tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Open UV Index API MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 4 tools from Open UV Index API

Why Use CrewAI with the Open UV Index API MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Open UV Index API through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Open UV Index API + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Open UV Index API MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Open UV Index API for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Open UV Index API, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Open UV Index API tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Open UV Index API against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Open UV Index API MCP Tools for CrewAI (4)

These 4 tools become available when you connect Open UV Index API to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Open UV Index API to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Open UV Index API + CrewAI FAQ

Common questions about integrating Open UV Index API MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.