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papergraph-mcp
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papergraph-mcp

Active·★ 274·MIT·Updated 2026-10-18

PaperGraph MCP turns arXiv papers, local LaTeX projects and born-digital PDFs into a local theorem-centered workspace. Agents can inspect source-backed results, proofs, citations and dependencies, save reading progress and export Markdown reports.

papergraph-mcp sits in the MCP Servers category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Paper Map showing structure, main-result candidates and reading risks. A representative use case is Read a math paper with an agent that cites the source for every claim. The listed license is MIT. GitHub stars are currently 288. Relevant tags include mcp, math.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

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#mcp
#math
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#python
$ Install
$ uvx --from papergraph-mcp papergraph-mcp
↗ Visit site★ GitHub
01

Features

01Paper Map showing structure, main-result candidates and reading risks
02Trace statements and proof references back to source slices and dependencies
03Reference matching via Crossref, OpenAlex and arXiv
04Local SQLite workspaces with notes, checkpoints and exportable reading reports
02

Why choose it

+Paper Map showing structure, main-result candidates and reading risks
+Trace statements and proof references back to source slices and dependencies
+Read a math paper with an agent that cites the source for every claim
+Comes with a clearly listed MIT license.
03

Trade-offs

!Compatibility coverage appears narrow, so your target environment should be validated before adoption.
04

Compatibility

Claude Desktop
MCP (stdio)
Verified via docs
Claude Code
MCP (stdio)
Verified via docs
05

Quick start

1
$ uvx --from papergraph-mcp papergraph-mcp
06

Use cases

↳Read a math paper with an agent that cites the source for every claim
↳Map which lemmas a theorem depends on before reading the proof
↳Plan reading across several related papers
07

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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.

274MIT
Last commit5d ago
StatusActive
CategoryMCP Servers
Links
Documentation↗Discussion↗Issues↗Releases↗
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