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 htlin222 · MCP Server · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openevidence-mcp safe to install? View the security audit →
OpenEvidence MCP (Cookie Auth Fork) Use OpenEvidence from Claude Code, Codex CLI, Gemini CLI, Claude Desktop, Cursor, Cline, Continue, and any MCP-compatible client. <im
| Stars | 74 |
| Forks | 15 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 72.4654510149502/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-04-08 |
| Platforms | browser, claude-code, cli, codex, gemini, mcp, node |
| Est. Tokens | ~16k |
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openevidence-mcp is Unofficial OpenEvidence MCP server — query OpenEvidence from Claude Code, Codex, and any MCP client through your own logged-in browser tab (no API key). Fire-and-forget asks, a shared relay daemon for. It is categorized as a MCP Server with 74 GitHub stars.
openevidence-mcp is primarily written in TypeScript. It covers topics such as academic-tools, bibtex, browser-extension.
You can find installation instructions and usage details in the openevidence-mcp GitHub repository at github.com/htlin222/openevidence-mcp. The project has 74 stars and 15 forks, indicating an active community.
openevidence-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to openevidence-mcp on Agent Skills Hub include cli-anything-zotero, medsci-skills, bibverify. 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: