OpenWeatherMap MCP Server for CrewAIGive CrewAI instant access to 6 tools to Direct Geocoding, Get Air Pollution, Get Current Weather, and more

Name: OpenWeatherMap
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The OpenWeatherMap MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 6 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="OpenWeatherMap Specialist",
    goal="Help users interact with OpenWeatherMap effectively",
    backstory=(
        "You are an expert at leveraging OpenWeatherMap 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 OpenWeatherMap "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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About OpenWeatherMap MCP Server

Connect OpenWeatherMap to your AI agent to get instant access to global meteorological data. Whether you're planning travel, monitoring environmental conditions, or building weather-aware automations, this server provides the precise data you need.

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

Current Conditions — Get live temperature, humidity, wind speed, and weather descriptions for any city or coordinate via get_current_weather.
Extended Forecasts — Access 5-day/3-hour forecasts with get_forecast or use the One Call 3.0 API for 48-hour hourly and 8-day daily projections via get_onecall.
Air Quality Monitoring — Retrieve real-time pollution data including PM2.5, PM10, CO, and Ozone levels using get_air_pollution.
Geocoding Services — Seamlessly convert city names to coordinates with direct_geocoding and vice versa with reverse_geocoding to power location-based queries.

The OpenWeatherMap MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 OpenWeatherMap tools available for CrewAI

When CrewAI connects to OpenWeatherMap through Vinkius, your AI agent gets direct access to every tool listed below — spanning meteorology, weather-forecast, air-quality, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

direct

Direct geocoding on OpenWeatherMap

Convert city names or zip codes into coordinates

get

Get air pollution on OpenWeatherMap

5, PM10, and NH3. Get current air pollution data

get

Get current weather on OpenWeatherMap

Get current weather data

get

Get forecast on OpenWeatherMap

Get 5 Day / 3 Hour Forecast

get

Get onecall on OpenWeatherMap

Get One Call API 3.0 weather data

reverse

Reverse geocoding on OpenWeatherMap

Convert coordinates into city names

Connect OpenWeatherMap to CrewAI via MCP

Follow these steps to wire OpenWeatherMap into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 6 tools from OpenWeatherMap

Why Use CrewAI with the OpenWeatherMap MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with OpenWeatherMap 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

OpenWeatherMap + CrewAI Use Cases

Practical scenarios where CrewAI combined with the OpenWeatherMap MCP Server delivers measurable value.

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

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

Example Prompts for OpenWeatherMap in CrewAI

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

"What's the current weather in London?"

"Give me the 5-day forecast for Tokyo."

"Check the air pollution levels at latitude 40.71 and longitude -74.00."

Troubleshooting OpenWeatherMap MCP Server with CrewAI

Common issues when connecting OpenWeatherMap to CrewAI through 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.

OpenWeatherMap + CrewAI FAQ

Common questions about integrating OpenWeatherMap 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.