# PaperHookMCP

> PaperHookMCP — lucaspeixotg-paperhookmcp. Use this tool when you need to find relevant academic papers for a research question, as it searches live databases like OpenAlex and Semantic Scholar, removes duplicates, and reranks results using a cross-encoder. It takes a natural-language research question as input and outputs a list of the most relevant papers. Ideal for researchers, students, and academics seeking efficient and accurate literature searches without requiring a local corpus or database.

Canonical page: https://skillsregistry.net/skills/lucaspeixotg-paperhookmcp  
JSON: https://api.skillsregistry.net/v1/skills/lucaspeixotg-paperhookmcp

## Description

MCP server that finds the academic papers most relevant to a natural-language research question — searches OpenAlex/Semantic Scholar live, dedupes, and reranks with a cross-encoder. No local corpus, no database.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/LucasPeixotg/PaperHookMCP)

## 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": "lucaspeixotg-paperhookmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucaspeixotg-paperhookmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucaspeixotg-paperhookmcp/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