What can you do with this server?

The WeatherXM PRO MCP Server allows clients to access weather station data, observations, and forecasts through the MCP protocol. With this server, you can: * Retrieve stations near a specific location using latitude, longitude, and radius * Fetch stations within a defined bounding box using min/max latitude and longitude * Access all available weather stations * Get the latest observation from a specific station * Retrieve historical observations for a station on a specific date * Search for H3 cells by region name * Get stations located within a specific H3 cell * Obtain weather forecasts (daily or hourly) for a specific H3 cell * Get hyperlocal forecasts for a station and variable * Access forecast performance (FACT) for a station and variable * Retrieve forecast rankings (FACT) for a station

Which integrations are available for this server?

Can be deployed as a Docker container, making the WeatherXM PRO API available through the MCP protocol Runs as a Node.js application, providing access to weather data through the MCP protocol

How do I use WeatherXM Pro MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@WeatherXM Pro MCP Server what's the forecast for New York City tomorrow?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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WeatherXM Pro MCP Server

Official

by WeatherXM

Overview Schema Related Servers Score Discussions

JavaScript

Remote

WeatherXM PRO MCP Server

An MCP server implementation exposing the WeatherXM PRO APIs as MCP tools, allowing clients to access weather station data, observations, and forecasts through the MCP protocol.

Features

Get stations near a location (latitude, longitude, radius)
Get stations within a bounding box (min/max latitude and longitude)
Get all available stations
Get the latest observation for a specific station
Get historical observations for a station on a specific date
Search for H3 cells by region name
Get stations in a specific H3 cell
Get weather forecast (daily or hourly) for a specific H3 cell
Get hyperlocal forecast for a station and variable
Get forecast performance (FACT) for a station and variable
Get forecast ranking (FACT) for a station

Related MCP server: Weather MCP Server

Prerequisites

Node.js and npm installed
A valid WeatherXM PRO API key

Configuration

Clone the repository to your local machine.

git clone https://github.com/WeatherXM/weatherxm-pro-mcp.git

Installation

After cloning the repository, you need to install the dependencies and build the project before running the MCP server.

npm install
npm run build

Server Configuration for MCP Clients

This is the common configuration for MCP clients such as Claude Desktop, Cursor, Windsurf Editor, VSCode and plugins such as RooCode and Cline.

{
  "mcpServers": {
    "weatherxm-pro": {
      "command": "npx",
      "args": [
        "-y",
        "path to mcp"
      ],
      "env": {
        "WEATHERXMPRO_API_KEY": "your-api-key"
      }
    }
  }
}

Replace "path to mcp" with the actual path to the MCP server or package name, and "your-api-key" with your WeatherXM PRO API key.

Note: If you have other MCP servers in use in the client, you can add it to the existing mcpServers object.

Claude Desktop

Follow the steps below to use the WeatherXM PRO MCP server with Claude Desktop MCP client:

Edit the MCP settings file located at:

~/Library/Application Support/Claude/claude_desktop_config.json

Add the WeatherXM PRO MCP server configuration under the mcpServers object.
Restart Claude Desktop to apply the changes.
You can now use the server in Claude Desktop to run queries on the WeatherXM PRO MCP server.

Cursor

Follow the steps below to use the WeatherXM PRO MCP server with Cursor:

Install Cursor on your machine.
In Cursor, go to Cursor > Cursor Settings > MCP > Add a new global MCP server.
Specify the same configuration as in the Server Configuration for MCP Clients section.
Save the configuration.
You will see weatherxm-pro as an added server in MCP servers list.
You can now use the WeatherXM PRO MCP server in Cursor to run queries.

Windsurf Editor

Follow the steps below to use the WeatherXM PRO MCP server with Windsurf Editor:

Install Windsurf Editor on your machine.
Navigate to Command Palette > Windsurf MCP Configuration Panel or Windsurf - Settings > Advanced > Cascade > Model Context Protocol (MCP) Servers.
Click on Add Server and then Add custom server.
Add the WeatherXM PRO MCP Server configuration from the Server Configuration for MCP Clients section.
Save the configuration.
You will see weatherxm-pro as an added server in MCP Servers list.
You can now use the WeatherXM PRO MCP server in Windsurf Editor to run queries.

Docker Image

The MCP server can be built and run as a Docker container.

Build

docker build -t weatherxm-pro-mcp .

Run

docker run -d -p 3000:3000 -e WEATHERXMPRO_API_KEY="your-api-key" -e PORT=3000 weatherxm-pro-mcp

Replace "your-api-key" with your actual WeatherXM PRO API key.

Troubleshooting Tips

Ensure the path to your MCP server repository is correct in the configuration.
Verify that your WeatherXM PRO API key is set correctly.
Check that the MCP client configuration matches the server settings.
Check the logs for any errors or warnings that may indicate issues with the MCP server.

License

MIT License

Available Tools

8 tools

get_all_stationsD

ParametersJSON Schema

Name	Required	Description	Default
No parameters

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_forecast_for_cellD

ParametersJSON Schema

Name	Required	Description
`forecast_cell_index`	Yes	The H3 index of the cell to get forecast for
`forecast_from`	Yes	The first day for which to get forecast data (YYYY-MM-DD)
`forecast_include`	Yes	Types of forecast to include
`forecast_to`	Yes	The last day for which to get forecast data (YYYY-MM-DD)

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_historical_observationsD

ParametersJSON Schema

Name	Required	Description	Default
`date`	Yes	Date (YYYY-MM-DD) for historical observations
`station_id`	Yes	The unique identifier of the station

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_latest_observationD

ParametersJSON Schema

Name	Required	Description	Default
`station_id`	Yes	The unique identifier of the station

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_stations_boundsD

ParametersJSON Schema

Name	Required	Description
`max_lat`	Yes	Maximum latitude of the bounding box
`max_lon`	Yes	Maximum longitude of the bounding box
`min_lat`	Yes	Minimum latitude of the bounding box
`min_lon`	Yes	Minimum longitude of the bounding box

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_stations_in_cellD

ParametersJSON Schema

Name	Required	Description	Default
`cell_index`	Yes	The H3 index of the cell to return stations for

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_stations_nearD

ParametersJSON Schema

Name	Required	Description
`lat`	Yes	Latitude of the center of the area
`lon`	Yes	Longitude of the center of the area
`radius`	Yes	Radius in meters for which stations are queried

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_cells_in_regionD

ParametersJSON Schema

Name	Required	Description	Default
`region_query`	Yes	The name of the region to search for cells

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

8 tool updatesv1.0.0Apr 29, 2025
- First observedget_all_stations
- First observedget_forecast_for_cell
- First observedget_historical_observations
- First observedget_latest_observation
- First observedget_stations_bounds
- First observedget_stations_in_cell
- First observedget_stations_near
- First observedsearch_cells_in_region

Install Server

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

TDQS

C2/5.0

Disambiguation4/5

Most tools have clearly distinct purposes focused on different aspects of weather data retrieval (stations, forecasts, observations, cells), though get_stations_in_cell and get_stations_near could potentially overlap in some use cases. The lack of descriptions creates some uncertainty, but the naming suggests reasonable separation.

Naming Consistency5/5

All tools follow a perfect verb_noun pattern with consistent snake_case naming throughout. Every tool starts with 'get_' or 'search_' followed by a clear object, creating excellent predictability and readability.

Tool Count5/5

With 8 tools, this server is well-scoped for a weather data service. The count allows comprehensive coverage of station management, forecasting, and observation retrieval without becoming overwhelming or redundant.

Completeness3/5

The server covers core weather data retrieval operations well (stations, forecasts, observations), but lacks any write/update capabilities that might be expected for a 'Pro' service. There are also no tools for managing user preferences, alerts, or more advanced analytics, creating some workflow gaps.

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

Reddit Discussion

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