Agro API MCP by usefulapi
Read satellite, NDVI, weather and soil data; create and delete fields in Agro API.
作者提供的说明(英文原文)
MCP server providing weather tools with data sourced from AccuWeather.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
ACCUWEATHER_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"accuweather": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ACCUWEATHER_API_KEY",
"docker.io/jonjam/accuweather-mcp:1.4.11"
],
"env": {
"ACCUWEATHER_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add accuweather --env ACCUWEATHER_API_KEY=your-value -- docker run -i --rm -e ACCUWEATHER_API_KEY docker.io/jonjam/accuweather-mcp:1.4.11运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"accuweather": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ACCUWEATHER_API_KEY",
"docker.io/jonjam/accuweather-mcp:1.4.11"
],
"env": {
"ACCUWEATHER_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"accuweather": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ACCUWEATHER_API_KEY",
"docker.io/jonjam/accuweather-mcp:1.4.11"
],
"env": {
"ACCUWEATHER_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 JonJam 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:ACCUWEATHER_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.4.11)于7个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:Agro API MCP by usefulapi, FieldClimate MCP by usefulapi, Exely MCP by usefulapi
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Read satellite, NDVI, weather and soil data; create and delete fields in Agro API.
Read weather station data, sensors, farms, fields and crop zones in FieldClimate.
Read hotel bookings, rooms, cancellation rules and daily occupancy in Exely.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
export ACCUWEATHER_API_KEY=replace-with-your-api-key
application-local.yaml in src/main/resources/application.yaml with the following content:logging:
console: enabled: true
SPRING_PROFILES_ACTIVE=local ./gradlew bootRunNote: If you enable the Java debugger, it will produce output to standard out which will trigger errors in the stdio MCP protocol.
Unit and integration tests use mockito and wiremock. To run the tests, use:
./gradlew build
This project uses PIT mutation testing via the gradle-pitest-plugin to verify that tests detect injected faults, complementing JaCoCo line coverage.
./gradlew pitest — run mutation tests over com.jonjam.accuweathermcp.* (excluding DTOs and the bootstrap class).build/reports/pitest/index.html to review results. Surviving mutants indicate code that is executed by tests but where a fault would not be caught.To test with MCP Inspector), run the following from the root of the repo:
npx @modelcontextprotocol/inspector -e 'JAVA_TOOL_OPTIONS=-agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=*:5005' java -jar "build/libs/accuweather-mcp-local-snapshot.jar"
This was sourced from this blog.
{
"mcpServers": { "accuweather-mcp": { "command": "PATH_TO_JAVA", "args": ["-jar", "ABSOLUTE_PATH_TO_REPO/build/libs/accuweather-mcp-local-snapshot.jar"], "env": { "ACCUWEATHER_API_KEY": "API_KEY" } } } }
If you are using SDKMAN, command should be ~/.sdkman/candidates/java/current/bin/java
This was sourced from the MCP docs.
Example user prompt:
Use the accuweather-mcp to look up the current weather in Manchester, UK.
This project uses the Jib Gradle plugin to build a Docker image.
./gradlew jibDockerBuild
The default image name is jonjam/accuweather-mcp.
To use the docker image with MCP Inspector, the command looks as follows:
npx @modelcontextprotocol/inspector docker run --rm -i --env "ACCUWEATHER_API_KEY=$ACCUWEATHER_API_KEY" jonjam/accuweather-mcp:latest
More information about patterns and practises for this project can be found in AGENTS.md.
This project uses semantic-release to automate versioning, changelog generation, and publishing.
Important: Commit messages that are intended to trigger a release must be prefixed according to the Conventional Commits standard. For example:
feat: add new forecast endpointfix: correct hourly forecast time calculationThis project uses the Spotless Gradle plugin to enforce a consistent Java style.
./gradlew spotlessApply — format sources and fix style issues../gradlew spotlessCheck — verify formatting without changing files.Static analysis and broader code-quality checks are handled by Checkstyle using a Google-style-based configuration (with formatting delegated to Spotless):
./gradlew checkstyleMain — run Checkstyle over main sources../gradlew checkstyleTest — run Checkstyle over test sources.This server is published to the MCP Registry.
When using an MCP client that supports the registry (e.g. Cursor, Claude Desktop), you can add io.github.jonjam/accuweather-mcp from the registry and configure your AccuWeather API key as the ACCUWEATHER_API_KEY environment variable.