# paper-extraction-MCP

> Use this tool when you need to extract structured information from academic PDFs, such as research findings or data, and integrate it with natural language querying for efficient analysis. It solves problems of manual data extraction and enables batch processing of large PDF collections. The tool takes academic PDFs as input and outputs extracted structured information, suitable for use cases like research summarization, data mining, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/tylo-git-paper-extraction-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tylo-git-paper-extraction-mcp

## Description

Enables structured information extraction from academic PDFs using LLMs, integrating with Claude Desktop for natural language querying and batch processing.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h7rkyedeug)
- **Repository:** <https://github.com/tylo-git/paper-extraction-MCP>

## 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": "tylo-git-paper-extraction-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tylo-git-paper-extraction-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tylo-git-paper-extraction-mcp/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