Name: xiawubing/csrankings-mcp
Rating: 3.0 (1 reviews)
Author: xiawubing

xiawubing/csrankings-mcp

Score: 49.6 Rank #87

MCP server for CSRankings.org data — rank CS institutions by research area

Overview

xiawubing/csrankings-mcp is a Python MCP server. MCP server for CSRankings.org data — rank CS institutions by research area

Ranked #87 out of 104 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

Forks 0

Description Good

License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

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Badge

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: —
Last Commit: today

Matched Queries

"mcp server""mcp-server"

From the README

# CSRankings MCP Server

An [MCP](https://modelcontextprotocol.io/) server that brings [CSRankings.org](https://csrankings.org/) data to AI assistants like Claude. Rank CS departments, look up faculty, and explore researcher profiles — all through natural language.

## Features

The server exposes four tools:

| Tool | Description |
|------|-------------|
| `csrankings_rank` | Rank institutions by research area using geometric-mean scoring (same method as csrankings.org) |
| `csrankings_institution` | List faculty at an institution with per-area publication counts and homepage URLs |
| `csrankings_researcher` | Get a researcher's profile: affiliation, homepage, Google Scholar link, and yearly publications |
| `csrankings_search` | Fuzzy search for institutions or researchers by name |

### Supported Research Areas

Areas can be specified as slugs, human-readable names, or broad categories:

- **AI** — Artificial Intelligence, Computer Vision, Machine Learning, NLP, Web & IR
- **Systems

Read full README on GitHub →