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The scholar-search-mcp MCP server was last committed 7d ago and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

scholar-search-mcp MCP Server

Name: Silung/scholar-search-mcp
Rating: 3.1 (1 reviews)
Author: Silung

Silung/scholar-search-mcp

Score: 53.1 Rank #2809 Search & RAG

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A MCP server that integrates the Semantic Scholar API and the arXiv API so AI assistants (e.g. Claude Code, Cursor) can search and fetch academic paper metadata.

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Overview

Silung/scholar-search-mcp is a Python MCP server licensed under MIT. A MCP server that integrates the Semantic Scholar API and the arXiv API so AI assistants (e.g. Claude Code, Cursor) can search and fetch academic paper metadata.

Ranked #2809 out of 29331 indexed tools.

In the top 10% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT 3 pypi/wk

Score Breakdown

Stars 15% 24

24 stars → early stage

Freshness 25% 7d ago

Last commit 7d ago → 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

npm Downloads N/A

PyPI Downloads 13% 3/wk

3 weekly installs → early adoption

Forks 2

Description Detailed

License MIT

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

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 24
Forks: 2
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: MIT
Last Commit: 7d ago

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From the README

# Scholar Search MCP

A MCP server that integrates the [CORE API v3](https://api.core.ac.uk/docs/v3), [Semantic Scholar API](https://www.semanticscholar.org/product/api), and [arXiv API](https://info.arxiv.org/help/api/user-manual.html) so AI assistants (e.g. Claude, Cursor) can search and fetch academic paper metadata.

## Features

- **Search papers** – Keyword search with **fallback chain**: tries **CORE API** first (no key required; set `CORE_API_KEY` for higher limits), then **Semantic Scholar**, then **arXiv**; optional year and venue filters (venue applies to Semantic Scholar only)
- **Paper details** – Full metadata (title, authors, abstract, citations, etc.)
- **Citations & references** – Papers that cite or are cited by a given paper
- **Author info** – Author profile and paper list
- **Batch lookup** – Fetch up to 500 papers in one call
- **Recommendations** – Similar papers for a given paper
- **arXiv LaTeX source** – Download and extract the source tarball from `https://ar

Read full README on GitHub →