Can I get weather updates for a specific set of coordinates?

Yes! You can provide coordinates (latitude, longitude) in the `location` parameter for any tool to get hyper-local data for that exact point.

What timesteps are supported for weather forecasts?

Tomorrow.io supports `1m` (minute-by-minute), `1h` (hourly), and `1d` (daily) timesteps. Specify your preference in the `timesteps` parameter of the `get_weather_forecast` tool.

Does the air quality tool provide specific pollutant levels?

Yes, the `get_air_quality` tool retrieves data for various pollutants including PM2.5, PM10, O3, NO2, and CO, along with the overall Air Quality Index (AQI).

Tomorrow.io Extended MCP Server for CrewAI 5 tools — connect in under 2 minutes

Name: Tomorrow.io Extended
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Tomorrow.io Extended Specialist",
    goal="Help users interact with Tomorrow.io Extended effectively",
    backstory=(
        "You are an expert at leveraging Tomorrow.io Extended 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 Tomorrow.io Extended "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Tomorrow.io Extended MCP Server

Equip your AI agent with the world's most accurate weather intelligence via Tomorrow.io. This integration provides your agent with real-time access to hyper-local weather conditions, minute-by-minute forecasts, and deep atmospheric data. Your agent can instantly check the current temperature, audit historical trends, and monitor air quality levels without you ever touching a weather app. Whether you are planning logistics or managing outdoor operations, your agent acts as a dedicated meteorologist, ensuring your decisions are always guided by precise environmental data.

When paired with CrewAI, Tomorrow.io Extended becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Tomorrow.io Extended 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

Realtime Conditions — Access current weather data including temperature, humidity, and wind speed for any location.
Forecast Auditing — Retrieve detailed weather forecasts with customizable timesteps (1m, 1h, 1d).
Historical Trends — Fetch recent weather history to analyze environmental patterns over the last 24 hours.
Air Quality Monitoring — Monitor pollution levels and air quality indices to ensure safe environmental conditions.
Weather Alerts — Stay updated on active weather warnings and alerts issued for specific geographic areas.

The Tomorrow.io Extended MCP Server exposes 5 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 Tomorrow.io Extended to CrewAI via MCP

Follow these steps to integrate the Tomorrow.io Extended 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 5 tools from Tomorrow.io Extended

Why Use CrewAI with the Tomorrow.io Extended MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Tomorrow.io Extended 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

Tomorrow.io Extended + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Tomorrow.io Extended MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Tomorrow.io Extended 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 Tomorrow.io Extended, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Tomorrow.io Extended 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 Tomorrow.io Extended against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Tomorrow.io Extended MCP Tools for CrewAI (5)

These 5 tools become available when you connect Tomorrow.io Extended to CrewAI via MCP:

get_air_quality

Get air quality data

get_realtime_weather

Get realtime weather data

get_recent_history

Get recent weather history

get_weather_forecast

Get weather forecast

list_weather_alerts

List weather alerts

Example Prompts for Tomorrow.io Extended in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Tomorrow.io Extended immediately.

"What's the current weather in London?"

"Give me the hourly forecast for San Francisco."

"How is the air quality in Beijing today?"

Troubleshooting Tomorrow.io Extended MCP Server with CrewAI

Common issues when connecting Tomorrow.io Extended 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.

Tomorrow.io Extended + CrewAI FAQ

Common questions about integrating Tomorrow.io Extended 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.