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  3. 看雪山 Kanxueshan
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看雪山 Kanxueshan

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日照金山预报:中国雪山 7 天内的日出/日落金光时段与可见度评分。Golden-hour forecasts for snow mountains in China.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for 看雪山 Kanxueshan, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

看雪山 MCP · Kanxueshan MCP

🏔️ 日照金山(雪山金光)预报的 MCP 服务器 —— 在 Claude、Cursor、Cherry Studio、Claude Desktop 等任何 MCP 客户端里,直接问:

「这个周末去子梅垭口,能看到贡嘎山日照金山吗?」 「明天在飞来寺,能看到卡瓦格博吗?」 「30.9, 102.8 附近有哪些雪山可以看?」

返回:日出/日落金光时段、0-100 可见度评分、云量/湿度/风速因子,以及观景点建议。

看雪山

直接用(推荐,无需安装)

托管端点(streamable HTTP,免费、无需 API Key):

Code
https://www.yilong.art/mcp

Claude Code / 命令行

Terminal
claude mcp add --transport http kanxueshan https://www.yilong.art/mcp

Cursor(~/.cursor/mcp.json)

config.json
{
  "mcpServers": {
    "kanxueshan": { "url": "https://www.yilong.art/mcp" }
  }
}

其他客户端:在「MCP / 连接器」设置里添加远程 HTTP 服务器,地址填 https://www.yilong.art/mcp。 图文接入指引:https://www.yilong.art/ai.html ・ 网页版:https://www.yilong.art

工具(Tools)

工具说明参数
search_peak搜索中国雪山及观景点(子梅垭口、飞来寺、猫鼻梁…)name
query_peaks按经纬度查周边可见雪山 + 当日日出/日落金山预报lat, lng, date?
forecast_peak某山峰未来 1-7 天预报peak, days?, viewpoint?, date?

数据与算法

  • 气象:Open-Meteo 云量(含低云)、降水概率、湿度、风速/阵风
  • 地形:DEM 高程 + 视线分析(判断某观景点能否看到该峰)
  • 金光时段:太阳高度角(Golden Hour)+ 当地时区
  • 评分:综合云量/低云/湿度/风,0-100

覆盖中国主要雪山与观景点(贡嘎山、四姑娘山、卡瓦格博、玉珠峰、慕士塔格……),并提供多语种山峰名检索。

自托管(Self-host)

本仓库是 MCP 接入层(约 100 行),需要自行准备一份看雪山 API:

Terminal
pip install -r requirements.txt
KXS_API=http://127.0.0.1:3000 python3 mcp_server.py   # 默认监听 0.0.0.0:3999

环境变量:KXS_API(后端地址)· HOST / PORT(监听,生产建议 HOST=127.0.0.1 走反代)· KXS_TOOL_LOG(可选,设为文件路径则每次工具调用追加一行 JSONL:工具名/参数/来源 IP/耗时/成败,便于自建用量统计)· KXS_STATS_DB(可选,设为 SQLite 路径则每次调用在 toolcall 表写一行,字段同上,便于直接查询/做面板)。 两个都不设则完全不写盘。


English

Kanxueshan MCP — golden-hour sunrise/sunset visibility forecasts for snow mountains in China.

Ask your MCP client: "Can I see the golden light on Gongga Mountain from Zimei Pass this weekend?" It returns the golden-hour windows (sunrise/sunset), a 0-100 visibility score, weather factors (cloud cover, humidity, wind), and suggested viewpoints.

Hosted endpoint (no install, no API key):

Code
https://www.yilong.art/mcp

Tools: search_peak(name) · query_peaks(lat, lng, date?) · forecast_peak(peak, days?, viewpoint?, date?)

Data: Open-Meteo weather + a terrain/viewshed engine (DEM, solar altitude, line-of-sight). Forecast responses are in Chinese; peak names accept both Chinese and English queries.

Web app: https://www.yilong.art ・ Setup guide: https://www.yilong.art/ai.html

License

TBD

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about 看雪山 Kanxueshan

We don't have a confirmed install command for 看雪山 Kanxueshan yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/geoxing/kanxueshan-mcp) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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