# Academic Paper Analyzer

> Use this tool when you need to efficiently analyze and understand academic papers, especially those with complex mathematical content. It solves problems of tedious paper reading, unclear notation, and difficult experimental reproduction by providing features like PDF loading, LaTeX parsing, content summarization, and code generation. The tool takes in PDF files and outputs summarized content, explained mathematical notation, and generated code, making it ideal for researchers and students seeking to extract insights from academic papers.

Canonical page: https://skillsregistry.net/skills/lxy-hqu-academic-paper-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/lxy-hqu-academic-paper-analyzer

## Description

A research paper analysis server that provides comprehensive tools for academic paper reading and understanding. Built with TypeScript and SQLite, it offers PDF loading and text extraction, mathematical notation explanation with LaTeX parsing, document structure analysis, content summarization, code generation from algorithms, data visualization capabilities, and automated report generation. Integrates with local LLM services (like Ollama) for AI-powered analysis while maintaining a local database of papers, symbols, and experimental data. Designed for researchers and students who need to efficiently process, understand, and extract insights from academic papers with particular strength in handling mathematical content and experimental reproduction.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lxy-hqu-academic-paper-analyzer)
- **Repository:** <https://github.com/lxy-hqu/-mcp-for-paper-read-based-on-ai-ide>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lxy-hqu-academic-paper-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lxy-hqu-academic-paper-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lxy-hqu-academic-paper-analyzer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt