papergraph-mcp MCP Server
lotchuazzz-crypto/papergraph-mcp
[](https://agentrank-ai.com/tool/lotchuazzz-crypto--papergraph-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) 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.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
lotchuazzz-crypto/papergraph-mcp is a Python tool licensed under MIT. 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. Topics: ai-agents, arxiv, knowledge-graph, latex, mathematics, mcp, model-context-protocol, python, research-tools, skills.
Ranked #7823 out of 24846 indexed tools.
Ecosystem
Score Breakdown
284 stars → growing community
Last commit 1mo ago → recently updated
0/1 issues closed → many open issues
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
<div align="center"> # PaperGraph MCP **Read math papers with evidence, not guesses.** PaperGraph v1.2.0 is the stable evidence-first reading workflow for math papers: discover public full-text candidates for DOI papers, inspect source-backed proof and citation evidence, review direct and recursive dependencies, then export Markdown Reading Reports or Cross-Paper Reading Plans. v1.1.6 fixed source re-import data loss and resolver input boundaries; v1.1.7 is a maintenance cleanup without workflow changes. See the [v1.1.6 bugfix notes](docs/reference/v1.1.6-release-notes.md) and [v1.1.7 release](https://github.com/lotchuazzz-crypto/papergraph-mcp/releases/tag/v1.1.7). It helps AI agents turn arXiv papers, local LaTeX projects, and born-digital PDFs into a local theorem-centered workspace so a researcher can inspect where every claim came from. [English](#english) | [中文](#中文) </div> --- ### v1.2.0: DOI inputs and dependency reading [v1.2.0 is released](https://github.com/lotchuaRead full README on GitHub →
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