# Scientific Paper Reading Assistant

> Use this tool when you need to analyze and understand complex scientific papers, as it solves problems of manual data extraction and report generation by providing automated PDF parsing, formula extraction, and code generation. It takes scientific papers in PDF format as input and outputs Markdown reports with visualizations, PyTorch code, and mathematical formulas with AST generation. Ideal for researchers and students who want to efficiently summarize and implement methodologies from scientific papers.

Canonical page: https://skillsregistry.net/skills/lxy-hqu-mcp-for-paper-read-based-on-ai-ide  
JSON: https://api.skillsregistry.net/v1/skills/lxy-hqu-mcp-for-paper-read-based-on-ai-ide

## Description

Enables local analysis of scientific papers including PDF parsing, mathematical formula extraction with AST generation, PyTorch code generation from methodology, and automated Markdown report generation with visualizations.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v8u74w8oo0)
- **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-mcp-for-paper-read-based-on-ai-ide"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lxy-hqu-mcp-for-paper-read-based-on-ai-ide` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lxy-hqu-mcp-for-paper-read-based-on-ai-ide/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