GitScrum/MCP Partner Directory/AerisWeather MCP

Official Vinkius Partner Grade A · 6 tools

AerisWeather MCP + Claude: Get real-time weather data for scheduling

Stop guessing if a project milestone can hit its target date. When you connect AerisWeather via an MCP, Claude uses real-world meteorological intelligence to validate your sprint schedule and assess operational risks right inside GitScrum.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

Automate scheduling with Claude in GitScrum Get AerisWeather MCP on Vinkius →

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$106.80/year · 50 users · no per-seat

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workflow

task.delegate()

Create a task. Delegate to Claude. Get the result on your board.

Create a task in GitScrum

You create a ticket detailing the project requirement, such as 'Verify deployment window viability for Austin, TX next week.' You assign this task to Claude.

Claude runs the AerisWeather MCP

Claude autonomously determines it needs current weather data. It invokes the `get_forecasts` tool within the AerisWeather MCP, pulling 15-day forecasts for Austin.

Outcome lands in your GitScrum board

The forecast details—including predicted severe weather days or high winds—are formatted and appended to the ticket's comments, allowing the PM to adjust dependencies immediately.

templates

task.create()

AerisWeather MCP + Claude: 3 templates for your sprint planning

Copy. Paste into a Claude-aware GitScrum task. Done.

Client portaltemplate1

Have Claude assess travel risk using AerisWeather MCP

We need to schedule an off-site meeting in Seattle next month. I don't know if the weather will block airport access or force delays.

Claude prompt

I am planning a mandatory team trip to Chicago, IL for our sprint review. Using the AerisWeather MCP, please check the 15-day forecast and identify any high probability of severe weather alerts (watches/warnings) that might derail the travel schedule or force us to reschedule.

Sprint boardtemplate2

Ask Claude for current conditions impacting development

We are running a live field test in Miami. I need an immediate status report on current visibility and precipitation levels before the dev team leaves.

Claude prompt

Using the AerisWeather MCP, get the most recent observations for Miami, FL. Specifically, tell me if there is active rainfall or severe wind warnings right now, so I know if the field test needs to pause immediately. Run this as Claude.

Sprint wikitemplate3

Request historical data for capacity planning

Our deployment target city has had unpredictable weather last year. I need a historical record of conditions around the time of our previous launch to estimate risk.

Claude prompt

I need to compare the current month's expected weather against historical data for San Francisco, CA. Use the AerisWeather MCP to fetch interpolated historical conditions and precipitation forecasts for this specific time window so Claude can provide a good comparison report.

01 · workflow

AerisWeather + Claude turns logistics data into actionable sprint tickets

Project management often forces teams to hop between Slack threads for status updates, Google Maps for travel routes, and external weather sites just to get a single piece of dependency information. This dashboard-hopping slows down critical decision-making around scheduling.

Now, Claude handles the heavy lifting. By using the AerisWeather MCP, it automatically pulls precise global data—like airport closures or severe storm paths—and structures that context directly into your GitScrum ticket comments, ensuring the team acts on real facts, not assumptions.

Open this workflow in GitScrum →

02 · outcome

AerisWeather + Claude helps manage project risk and environmental dependencies

Manually tracking potential environmental risks, like monsoon season delays or hurricane watch periods, is a massive time sink. Teams spend hours cross-referencing multiple calendar sources just to create an accurate risk register.

AerisWeather gives Claude the necessary context. It monitors alerts and long-range forecasts proactively, flagging critical weather dependencies instantly. You stop reacting to problems and start scheduling around known realities.

prompts

claude.ask()

Claude prompts that fire once AerisWeather is live in AI agents

Before we commit to the Q3 launch date, what are the expected weather patterns across our three key operational hubs (Dallas, Atlanta, Phoenix) over the next two weeks? Please use the AerisWeather MCP for a comparative forecast.

Can you compare current local time zone data with general population density using the AerisWeather MCP to help us decide on the best meeting kickoff time?

I need to know if there are any active weather advisories affecting our supply chain route through the Midwest. Use the AerisWeather MCP and check for alerts along a specific path.

Run a batch request via the AerisWeather MCP for observations, forecasts, and alerts simultaneously for three different zip codes: 90210, 10001, and 60601.

specs

tools.list()

What Claude can call on AerisWeather: 6 tools for logistics automation

Each tool is one operation Claude runs on your behalf.

tool_name	operation
get_alerts	Claude can use this tool to pull active weather warnings, watches, and advisories for any location. This is vital when planning field deployments or travel.
get_batch	This function lets Claude request multiple types of data (like observations, forecasts, and alerts) in one go, which significantly speeds up complex risk assessments across several locations.
get_conditions	AI agents use this tool to get interpolated global weather conditions. It provides detailed current, forecast, and historical information, useful for long-term environmental project planning.
get_forecasts	Claude uses this to fetch standard weather forecasts. This is the primary method for checking if a planned sprint activity or deployment window will be viable next week.
get_observations	This tool allows Claude to retrieve real-time current weather observations, which you need immediately when assessing field status or confirming immediate operational feasibility.
get_places	AI agents utilize this function to gather specific geographical details about a location, such as time zone offsets and population data, necessary for proper project scoping.

grade

tools

auth

Required

catalog

Vinkius

faq

faq.read()

AerisWeather + Claude, answered for GitScrum users

How does the AerisWeather MCP integrate with GitScrum tasks when used by Claude?

The AerisWeather MCP allows Claude to access live weather data and write the findings directly into your existing GitScrum ticket or comment thread. You don't need to copy-paste anything; Claude handles the entire reporting loop for you.

Is using the AerisWeather MCP with Cursor better than just asking Claude on its own?

Using the dedicated MCP is much more reliable. It gives Claude a structured, standardized way to access professional-grade weather data (METAR/PWS). This ensures your AI agents get accurate, verifiable information for critical project decisions.

What kind of geographical data can I retrieve using the AerisWeather MCP in GitScrum?

Beyond forecasts, you can use the MCP to fetch detailed place information, including time zones and coordinates. This is crucial for scheduling global meetings or determining local compliance rules within your project scope.

Does this setup require complex coding knowledge or just Claude?

No complex coding is required on your end. You simply write a natural language task in GitScrum, and Claude manages the necessary function calls using the AerisWeather MCP in the background.