大学排名查询服务

基于QS世界大学排名数据的服务器,提供智能化大学搜索、排名查询、国家统计等多维度查询功能。

  • by Mouseminar
  • Python
  • 本地部署
  • 更新于
在 GitHub 查看 Mouseminar/qs_mcp

使用说明

QS World University Rankings MCP Server

This is a QS World University Ranking query server based on FastMCP, providing intelligent multi-dimensional query functions such as university search, ranking query, and national statistics.

Features

This MCP server provides the following nine tools:

1. search_university - University Search

Search for universities based on keywords to view their rankings and various indicators.

parameter

  • keywordKeywords for university names (supports fuzzy matching, case insensitive), such as "MIT", "Peking", "Tsinghua"
  • year: Year (optional, such as 2024, 2025, 2026), if not specified, all years will be displayed

return:

  • Match university ranking information and various indicators
  • Multi year ranking trend analysis

2. get_top_universities - Ranking Query

Search for the top N universities by year and country/region.

parameter

  • yearYear (required, such as 2024, 2025, 2026)
  • country: Country/region code or name (optional, such as CN, US, UK, China)
  • top_nDisplay the top N names (default 10, maximum 100)

return:

  • List of top N ranked universities
  • Includes various scoring indicators

3. get_comcounty_stats - National Statistics

Count the number and distribution of universities by country/region.

parameter

  • year: Year (required)
  • top_nDisplay the top N countries (default 20)

return:

  • Statistics on the number of universities in each country/region
  • Number of ranked universities
  • percentage share

4. get_country_stores - Comparison of National Average Scores

Calculate the average score by country/region.

parameter

  • year: Year (required)
  • top_nDisplay the top N countries (default 15)

return:

  • Average score, highest score, and lowest score of each country
  • Best ranked universities

5. get_rank_changes - Rank Changes

View the universities with the largest changes in rankings.

parameter

  • yearYear (required, will be compared with the previous year)
  • top_nDisplay the top N universities (default 20)
  • directionChange direction, "rise" rising or "fall" falling

return:

  • List of universities with the largest ranking changes
  • Including a comparison of rankings between last year and this year

6. get_top100_dedistribution - Top 100 distribution

View the national distribution of the top 100 universities.

parameter

  • year: Year (required)

return:

  • Statistics on the National Distribution of Top 100 Universities
  • Proportion of each country

7. get_Summary - Comprehensive Statistics

Obtain a comprehensive statistical summary for the specified year.

parameter

  • year: Year (required)

return:

  • Basic information (total number of universities, ranking, number of countries)
  • Top 10 universities
  • Top 5 countries
  • score statistics
  • Compared to last year

8. list_ available years - View available years

List all available years in the data.

return:

  • List of available years
  • latest year

9. list_comountries - View country list

List all available countries/regions in the data.

parameter

  • year: Year (optional)

return:

  • List of available countries/regions

Data source

Using QS World University Ranking data (2024-2026), including the following indicators:

  • Overall Score
  • Academic Reputation
  • Employer Reputation
  • Faculty Student Ratio
  • Citations per Faculty
  • International Faculty (International Teachers)
  • International Students
  • International Research Network
  • Employment outcomes
  • Sustainability (Sustainable Development)

Installation and operation

local run

# 安装依赖
pip install -r requirements.txt

# 启动服务器
python mcp_server.py

Alibaba Cloud Function Computing Deployment

  1. ensure qs_cleaned.csv The data file is located in the root directory of the project
  2. Run the build script:
    chmod +x build.sh
    ./build.sh
    
  3. Package and upload to Alibaba Cloud for function calculation
  4. Set the startup command to ./run.sh

environment variable

  • QS_CSV_PATH: Data file path (optional, automatically searched by default)
  • PORT / MCP_PORTService port (default 9001)

API interface

The server runs in SSE (Server Send Events) mode, with the default listening address being:

  • 本地:http://localhost:9001/sse
  • Internethttp://0.0.0.0:9001/sse

Usage example

Search for universities

{
  "tool": "search_university",
  "arguments": {
    "keyword": "MIT",
    "year": 2026
  }
}

Search for the ranking of Chinese universities

{
  "tool": "get_top_universities",
  "arguments": {
    "year": 2026,
    "country": "CN",
    "top_n": 20
  }
}

View ranking changes

{
  "tool": "get_rank_changes",
  "arguments": {
    "year": 2026,
    "top_n": 10,
    "direction": "rise"
  }
}

project structure

qs_mcp/
├── mcp_server.py      # MCP 服务器主程序
├── qs_cleaned.csv     # QS 排名数据文件
├── qs_search.py       # 原控制台搜索程序
├── qs_stats.py        # 原控制台统计程序
├── qs_top.py          # 原控制台排名程序
├── requirements.txt   # Python 依赖
├── build.sh           # 构建脚本
├── run.sh             # 启动脚本
└── README.md          # 项目说明

license

MIT License