papergraph-mcp
★ 274
vs
awesome-mcp-servers
★ 96.8k
papergraph-mcp vs awesome-mcp-servers
papergraph-mcp: 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.; awesome-mcp-servers: This repository is a curated list of awesome Model Context Protocol (MCP) servers. It focuses on production-ready and experimental MCP servers that extend AI capabilities through various integrations.
01
TL;DR
papergraph-mcpMCP Servers · ★ 274
Read a math paper with an agent that cites the source for every claim
awesome-mcp-serversMCP Servers · ★ 96.8k
When to choose:
- You are looking for the most comprehensive, actively maintained catalog of Model Context Protocol (MCP) servers for Cursor or Claude Desktop.
- You need categorized listings with quality badges to quickly find tested servers across databases, cloud, dev tools, and APIs.
When to skip:
- You want an interactive web UI with specs comparisons and selection guides rather than a plain markdown list (AgentIndex provides full reviews).
- You are building an MCP server from scratch and need an SDK framework (use `fastmcp` or the official SDKs instead).
02
Side-by-Side Comparison
Field
papergraph-mcpawesome-mcp-serversCategory
MCP Servers
MCP Servers
Stars
★ 274
★ 96.8k
License
MIT
MIT
Install Command
uvx --from papergraph-mcp papergraph-mcp
git clone https://github.com/punkpeye/awesome-mcp-servers.git
Updated
5d ago
5d ago
Open Source
Yes
Yes
Tags
mcp, math, arxiv
MCP, AI, Servers
03
Features
papergraph-mcp01Paper 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
awesome-mcp-servers01Curated list of MCP servers (production-ready and experimental)
02Enables AI models to securely interact with local and remote resources
03Extends AI capabilities via file access, database connections, and API integrations
04Categorized implementations across diverse domains like databases, art, and developer tools
05Supports various programming languages and operating systems for server development
04
Use Cases
papergraph-mcp↳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
awesome-mcp-servers↳Allowing AI models to access local and remote resources securely
↳Integrating AI with various external APIs and databases for extended functionality
↳Unifying multiple AI tools and services through a single, intelligent MCP interface
05
Best For
papergraph-mcp—
awesome-mcp-serversMost PopularEssentialTrending
FAQ
FAQ
What is the difference between papergraph-mcp and awesome-mcp-servers?
Both papergraph-mcp and awesome-mcp-servers are in the MCP Servers category. papergraph-mcp has 274 stars, while awesome-mcp-servers has 96.8k stars.
Which is better, papergraph-mcp or awesome-mcp-servers?
The best choice depends on your use case. Choose papergraph-mcp if Read a math paper with an agent that cites the source for every claim, and awesome-mcp-servers if Allowing AI models to access local and remote resources securely.
Is papergraph-mcp free or open source?
Yes, papergraph-mcp is open source on GitHub (MIT).
Is awesome-mcp-servers free or open source?
Yes, awesome-mcp-servers is open source on GitHub (MIT).
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