No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by cyanheads · MCP Server · ★ 148
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pubmed-mcp-server safe to install? View the security audit →
@cyanheads/pubmed-mcp-server Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP. 10 Tools • 1 Resource • 1 Prompt [![Install in Cursor]
| Stars | 148 |
| Forks | 23 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.6801056076012/100 |
| Open Issues | 18 |
| Last Updated | 2026-09-23 |
| Created | 2025-05-24 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
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pubmed-mcp-server is Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP.. It is categorized as a MCP Server with 148 GitHub stars.
pubmed-mcp-server is primarily written in TypeScript. It covers topics such as ai-agents, ai-tools, bioinformatics.
You can find installation instructions and usage details in the pubmed-mcp-server GitHub repository at github.com/cyanheads/pubmed-mcp-server. The project has 148 stars and 23 forks, indicating an active community.
pubmed-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to pubmed-mcp-server on Agent Skills Hub include biomcp, mcp-fusion, claude-historian-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: