# PaperSearch (arXiv)

> Use this tool when you need to search and retrieve academic papers from the arXiv repository, solving problems like literature reviews and staying updated on recent publications. It takes in keywords and subject categories as inputs and outputs metadata about scientific publications, enabling AI assistants to provide relevant information. Ideal for researchers, students, and academics, this tool streamlines access to arXiv papers, facilitating exploration and discovery of new research.

Canonical page: https://skillsregistry.net/skills/lincest-papersearch  
JSON: https://api.skillsregistry.net/v1/skills/lincest-papersearch

## Description

This papersearch MCP implementation provides an interface for querying academic papers from the arXiv repository. Built with Python using the arxiv library, it enables AI assistants to search for and retrieve metadata about scientific publications. The implementation supports functions like searching by keyword, retrieving paper details, and listing recent submissions across different subject categories. It stands out by focusing specifically on arXiv as a data source, making it particularly useful for researchers, students, and academics who want to leverage AI assistance in literature reviews, staying updated on recent publications, or exploring connections between papers in their field of study.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lincest-papersearch)
- **Repository:** <https://github.com/lincest/mcp-papersearch>

## 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": "lincest-papersearch"
    }
  }
}
```

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