by lotchuazzz-crypto · MCP Server · ★ 285
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uvx --from git+https://github.com/lotchuazzz-crypto/papergraph-mcp.git@v0.4.4 papergraph-mcp --version
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 285 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-18 |
| Created | 2026-09-02 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
PaperGraph MCP PaperGraph turns local or arXiv LaTeX papers into theorem dependency graphs that AI agents can query through MCP. PaperGraph v0.4.4 hardens first-use analysis by making agents verify the running version, validate raw arXiv requests, and report dependency boundaries before interpreting sparse graphs.
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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: