Is the paper-search-mcp MCP server actively maintained?

The paper-search-mcp MCP server was last committed 2d ago and has 27 contributors. Issue health: 47% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

paper-search-mcp MCP Server

Name: openags/paper-search-mcp
Rating: 3.8 (1 reviews)
Author: openags

openags/paper-search-mcp

Score: 70.7 Rank #3720 MCP Server

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MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

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Overview

openags/paper-search-mcp is a Python tool licensed under MIT. MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc. Topics: ai-scientist, arxiv-papers, mcp-server, paper-search.

Ranked #3720 out of 24840 indexed tools.

Has 2,694 GitHub stars.

Has 27 contributors.

Actively maintained with commits in the last week.

Ecosystem

Python MIT 2,032 pypi/wk

ai-scientistarxiv-papersmcp-serverpaper-search

Score Breakdown

Stars 15% 2,694

2,694 stars → well-known project

Freshness 25% 2d ago

Last commit 2d ago → actively maintained

Issue Health 25% 47%

28/59 issues closed → many open issues

Contributors 10% 27

27 contributors → active community

Dependents 25% 3

3 dependents → few downstream users

npm Downloads N/A

PyPI Downloads 13% 2,032/wk

2,032 weekly installs → gaining traction

Forks 280

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Issue Health high impact

You have 31 open vs 28 closed issues — triaging stale issues improves health

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Details

Stars: 2,694
Forks: 280
Open Issues: 31
Closed Issues: 28
Contributors: 27
Dependents: 3
Language: Python
License: MIT
Last Commit: 2d ago

Matched Queries

topic:mcp-server

From the README

# Paper Search MCP

A Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources. The project follows a free-first strategy: prioritize open and public data sources, support optional API keys when they improve stability or coverage, and keep source-specific connectors extensible for advanced users.

  

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## Table of Contents

- [Overview](#overview)
- [Project Principles](#project-principles)
- [MCP Authorization Compatibility](#mcp-authorization-compatibility)
- [Features](#features)
- [Source Strategy](#source-strategy)
- [Sci-Hub Notice](#sci-hub-notice)
- [Installation](#installation)
  - [Claude Code (Skill)](#claude-code-skill--recommended-for-claude-code-users)
  - [Method 1 — Smithery](#method-1--smithery-one-command-recommended-for-claude-desktop)
  - [Method 2 — uvx](#method-2--uvx-no-install-always-latest)
  - [Method 3 — uv](#method-3--uv-persistent-install)
  - [Method 4 — pip](#method-4--pip-standard-python-install)
  - [Me

Read full README on GitHub →