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papergraph-mcp MCP Server

lotchuazzz-crypto/papergraph-mcp

Score: 56.9 Rank #7823 MCP Server
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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.

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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

Python MIT
ai-agentsarxivknowledge-graphlatexmathematicsmcpmodel-context-protocolpythonresearch-toolsskills

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 284

284 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → recently updated

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 4
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 1 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for lotchuazzz-crypto/papergraph-mcp
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Matched Queries

topic:mcptopic:model-context-protocol

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>

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### v1.2.0: DOI inputs and dependency reading

[v1.2.0 is released](https://github.com/lotchua
Read full README on GitHub →

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