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jmobile-location-mcp-server
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一个提供手机号码(段)所属归属地查询功能的模型上下文协议(Model Context Protocol)服务器。该服务器使大型语言模型(LLMs)能够获取手机号码段归属地信息,如:省份、城市、运营商。
一个提供手机号码(段)所属归属地查询功能的模型上下文协议(Model Context Protocol)服务器。该服务器使大型语言模型(LLMs)能够获取手机号码段归属地信息,如:省份、城市、运营商。
服务器实现了一个工具:
async def get_mobile_location(phone: str = "") -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
This server requires Python 3.10 or higher. Install dependencies using uv (recommended) or pip
When using uv no specific installation is needed. We will use uvx to directly run jmobile-location-mcp-server.
uvx jmobile-location-mcp-server
Alternatively you can install jmobile-location-mcp-server via pip:
pip install jmobile-location-mcp-server
After installation, you can run it as a script using:
python -m jmobile_location_mcp_server
JUHE_MOBILE_LOCATION_API_KEY
: 聚合数据的手机归属地查询API密钥。获取:https://www.juhe.cn/docs/api/id/11
JUHE_MOBILE_LOCATION_API_KEY=your_api_key
~/Library/Application\ Support/Claude/claude_desktop_config.json
%APPDATA%/Claude/claude_desktop_config.json
"mcpServers": {
"jmobile-location-mcp-server": {
"command": "uvx",
"args": [
"jmobile-location-mcp-server"
],
"env": {
"JUHE_MOBILE_LOCATION_API_KEY": "your_api_key"
}
}
}
"mcpServers": {
"jmobile-location-mcp-server": {
"command": "python",
"args": [
"-m",
"jmobile_location_mcp_server"
],
"env": {
"JUHE_MOBILE_LOCATION_API_KEY": "your_api_key"
}
}
}
You can use the MCP inspector to debug the server. For uvx installations:
npx @modelcontextprotocol/inspector uvx jmobile-location-mcp-server
Or if you've installed the package in a specific directory or are developing on it:
cd path/to/servers/src/jmobile-location-mcp-server
npx @modelcontextprotocol/inspector uv run jmobile-location-mcp-server
FAQs
一个提供手机号码(段)所属归属地查询功能的模型上下文协议(Model Context Protocol)服务器。该服务器使大型语言模型(LLMs)能够获取手机号码段归属地信息,如:省份、城市、运营商。
We found that jmobile-location-mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Product
Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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