papergraph-mcp — security grade SAFE, quality 72/100

Security audit verdict: SAFE · quality 72/100

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 lotchuazzz-crypto · MCP Server · ★ 134

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

🔒 Is papergraph-mcp safe to install? View the security audit →

About papergraph-mcp

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. PaperGraph v0.4.0 introduced the persistent, cross-paper SQLite workspace: retain a small literature collection, search theorem text, follow theorem dependencies, and inspect citation evidence without asking an agent to re-read every source paper. Why PaperGraph? Single-paper tools expose theorem-like environments, labels, and relationships. A workspace keeps many independently imported papers together. It is deliberately evidence-first: every citation result identifies the source paper, bibliography key, LaTeX command, source file, and resolution status. This is useful for grounded reading and review; it is not semantic theorem matching or a claim that two similarly worded

ai-agentsarxivknowledge-graphlatexmathematicsmcpmodel-context-protocolpythonresearch-toolsskills

Quick Facts

Stars134
Forks2
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score71.5173946339524/100
Last Updated2026-09-11
Created2026-09-02
Platformsmcp, python
Est. Tokens~16k

Compatible Skills

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

  • thesis-skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)

papergraph-mcp alternative? Top 6 similar tools

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Frequently Asked Questions

What is papergraph-mcp?

papergraph-mcp is PaperGraph MCP turns math papers into evidence-grounded reading maps for AI agents: extract results, trace proof evidence, plan reading order, and review external dependencies without guessing.. It is categorized as a MCP Server with 134 GitHub stars.

What programming language is papergraph-mcp written in?

papergraph-mcp is primarily written in Python. It covers topics such as ai-agents, arxiv, knowledge-graph.

How do I install or use papergraph-mcp?

You can find installation instructions and usage details in the papergraph-mcp GitHub repository at github.com/lotchuazzz-crypto/papergraph-mcp. The project has 134 stars and 2 forks, indicating an active community.

What license does papergraph-mcp use?

papergraph-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to papergraph-mcp?

The top alternatives to papergraph-mcp on Agent Skills Hub include cli-anything-zotero, maverick-mcp, roam-code. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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