WeatherXM Pro MCP Server
OfficialWeatherXM PRO MCP サーバー
WeatherXM PRO API を MCP ツールとして公開する MCP サーバー実装。クライアントは MCP プロトコルを通じて気象観測所のデータ、観測、予報にアクセスできるようになります。
特徴
場所の近くの駅を取得する(緯度、経度、半径)
境界ボックス内のステーションを取得します(最小/最大緯度と経度)
利用可能なすべてのステーションを取得する
特定の観測所の最新の観測情報を取得する
特定の日付の観測所の過去の観測データを取得する
地域名でH3セルを検索
特定のH3セル内のステーションを取得する
特定の H3 セルの天気予報(毎日または毎時)を取得します
観測所と変数のハイパーローカル予報を取得する
ステーションと変数の予測パフォーマンス(FACT)を取得します
駅の予測ランキング(FACT)を取得する
Related MCP server: Weather MCP Server
前提条件
Node.jsとnpmがインストールされている
有効なWeatherXM PRO APIキー
構成
リポジトリをローカル マシンにクローンします。
git clone https://github.com/WeatherXM/weatherxm-pro-mcp.gitインストール
リポジトリのクローンを作成した後、MCP サーバーを実行する前に依存関係をインストールしてプロジェクトをビルドする必要があります。
npm install
npm run buildMCP クライアントのサーバー構成
これは、Claude Desktop、Cursor、Windsurf Editor、VSCode などの MCP クライアントや、RooCode や Cline などのプラグインに共通する構成です。
{
"mcpServers": {
"weatherxm-pro": {
"command": "npx",
"args": [
"-y",
"path to mcp"
],
"env": {
"WEATHERXMPRO_API_KEY": "your-api-key"
}
}
}
}"path to mcp" MCP サーバーまたはパッケージ名への実際のパスに置き換え、 "your-api-key" WeatherXM PRO API キーに置き換えます。
注: クライアントで他の MCP サーバーを使用している場合は、それを既存の
mcpServersオブジェクトに追加できます。
クロードデスクトップ
WeatherXM PRO MCP サーバーを Claude Desktop MCP クライアントで使用するには、以下の手順に従います。
次の場所にある MCP 設定ファイルを編集します。
~/Library/Application Support/Claude/claude_desktop_config.jsonmcpServersオブジェクトの下に WeatherXM PRO MCP サーバー構成を追加します。変更を適用するには、Claude Desktop を再起動します。
Claude Desktop のサーバーを使用して、WeatherXM PRO MCP サーバーでクエリを実行できるようになりました。
カーソル
Cursor で WeatherXM PRO MCP サーバーを使用するには、以下の手順に従います。
マシンにCursorをインストールします。
カーソルで、[カーソル] > [カーソル設定] > [MCP] > [新しいグローバル MCP サーバーの追加] に移動します。
MCP クライアントのサーバー構成セクションと同じ構成を指定します。
設定を保存します。
MCP サーバー リストに追加されたサーバーとして weatherxm-pro が表示されます。
Cursor で WeatherXM PRO MCP サーバーを使用してクエリを実行できるようになりました。
ウィンドサーフィンエディター
Windsurf Editorで WeatherXM PRO MCP サーバーを使用するには、以下の手順に従います。
マシンに Windsurf Editor をインストールします。
コマンドパレット > Windsurf MCP 構成パネルまたは Windsurf - 設定 > 詳細 > カスケード > モデルコンテキストプロトコル (MCP) サーバーに移動します。
「サーバーの追加」をクリックし、次に「カスタム サーバーの追加」をクリックします。
MCP クライアントのサーバー構成セクションから WeatherXM PRO MCP サーバー構成を追加します。
設定を保存します。
MCP サーバー リストに追加されたサーバーとして weatherxm-pro が表示されます。
Windsurf Editor で WeatherXM PRO MCP サーバーを使用してクエリを実行できるようになりました。
Dockerイメージ
MCP サーバーは Docker コンテナとして構築および実行できます。
建てる
docker build -t weatherxm-pro-mcp .走る
docker run -d -p 3000:3000 -e WEATHERXMPRO_API_KEY="your-api-key" -e PORT=3000 weatherxm-pro-mcp"your-api-key"を実際の WeatherXM PRO API キーに置き換えます。
トラブルシューティングのヒント
構成内の MCP サーバー リポジトリへのパスが正しいことを確認します。
WeatherXM PRO API キーが正しく設定されていることを確認します。
MCP クライアント構成がサーバー設定と一致していることを確認します。
MCP サーバーの問題を示す可能性のあるエラーや警告がないかログを確認してください。
ライセンス
MITライセンス
Available Tools
8 toolsget_all_stationsD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
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.
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.
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.
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.
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.
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
| Name | Required | Description | Default |
|---|---|---|---|
| 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
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.
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.
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.
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.
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.
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
| Name | Required | Description | Default |
|---|---|---|---|
| date | Yes | Date (YYYY-MM-DD) for historical observations | |
| station_id | Yes | The unique identifier of the station |
TDQS
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.
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.
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.
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.
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.
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
| Name | Required | Description | Default |
|---|---|---|---|
| station_id | Yes | The unique identifier of the station |
TDQS
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.
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.
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.
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.
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.
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
| Name | Required | Description | Default |
|---|---|---|---|
| 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
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.
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.
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.
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.
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.
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
| Name | Required | Description | Default |
|---|---|---|---|
| cell_index | Yes | The H3 index of the cell to return stations for |
TDQS
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.
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.
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.
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.
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.
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
| Name | Required | Description | Default |
|---|---|---|---|
| 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
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.
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.
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.
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.
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.
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
| Name | Required | Description | Default |
|---|---|---|---|
| region_query | Yes | The name of the region to search for cells |
TDQS
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.
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.
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.
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.
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.
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.
8 tool updates
v1.0.0- First observed
get_all_stations - First observed
get_forecast_for_cell - First observed
get_historical_observations - First observed
get_latest_observation - First observed
get_stations_bounds - First observed
get_stations_in_cell - First observed
get_stations_near - First observed
search_cells_in_region
TDQS
Scored across 8 tools
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.
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.
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.
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.
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