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scholar-mcp MCP Server

45645678a/scholar-mcp

Score: 57.1 Rank #14 MCP Server
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Local paper tool MCP server for AI IDEs - search, download (Sci-Hub/arXiv/Unpaywall), AI analysis, code-based recommendation, citation graph

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Overview

45645678a/scholar-mcp is a Python MCP server licensed under MIT. Local paper tool MCP server for AI IDEs - search, download (Sci-Hub/arXiv/Unpaywall), AI analysis, code-based recommendation, citation graph

Ranked #14 out of 124 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT 26 pypi/wk

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 77

77 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

npm Downloads N/A
PyPI Downloads 13% 26/wk

26 weekly installs → early adoption

Forks 7
Description Good
License MIT

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

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

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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AgentRank score for 45645678a/scholar-mcp
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Matched Queries

"mcp server""mcp-server"

From the README

# Scholar MCP Server

Local academic paper tool MCP server — **9-source search**, multi-source download, AI-powered analysis, citation graph, code-based paper recommendation.

## Quick Install

```bash
pip install scholar-mcp-server[all]
scholar-mcp-install --all
```

That's it. Restart your IDE and start using it.

## Features

| Tool | Description |
|---|---|
| `paper_search` | 9-source concurrent search with relevance scoring (Semantic Scholar, OpenAlex, Crossref, PubMed, arXiv, CORE, Europe PMC, DOAJ, dblp) |
| `paper_download` | Multi-source PDF download: Unpaywall → Publisher OA → arXiv → Sci-Hub → scidownl |
| `paper_batch_download` | Batch download multiple papers by DOI list |
| `paper_ai_analyze` | AI analysis — downloads PDF, extracts full text (up to 20 pages / 12k chars), sends to any OpenAI-compatible API |
| `paper_recommend` | Scan your workspace code → multi-query auto-recommend related papers |
| `paper_citation_graph` | Generate Mermaid citation/reference network vis
Read full README on GitHub →

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