paper-search-mcp: MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed

by openags · MCP Server · ★ 2.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install paper-search-mcp

git clone https://github.com/openags/paper-search-mcp.git ~/paper-search-mcp
npx -y @smithery/cli install @openags/paper-search-mcp --client claude

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-scientistarxiv-papersmcp-serverpaper-search

Quick Facts

Stars2,731
Forks283
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score71/100
Open Issues14
Last Updated2026-10-02
Created2025-04-06
Platformscli, mcp, python
Est. Tokens~19k

About paper-search-mcp

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.

Compatible Skills

These tools work well together with paper-search-mcp for enhanced workflows:

  • local-deep-research — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • arxiv-mcp-server — semantic(0.62)+same_lang+similar_pop+shared_platform (52%)
  • LLM-Agents-Papers — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (50%)
  • paper2slides — semantic(0.30)+complementary+same_lang+shared_platform (45%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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