# paper-search-mcp

> Use this tool when you need to find relevant academic papers and preprints across various platforms. It solves the problem of fragmented research databases by providing a unified interface to search and access research records, DOI lookups, and journal metadata from sources like Semantic Scholar, arXiv, and PubMed. With inputs of keywords, authors, or DOIs, it outputs relevant research results, making it ideal for researchers, students, and academics seeking comprehensive literature reviews.

Canonical page: https://skillsregistry.net/skills/upascal-paper-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/upascal-paper-search-mcp

## Description

Enables searching for academic papers and preprints across multiple platforms including Semantic Scholar, arXiv, PubMed, and CrossRef. It provides access to research records, DOI lookups, and journal metadata through a unified interface deployed on Cloudflare Workers.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/az9ykcksmb)
- **Repository:** <https://github.com/upascal/paper-search-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": "upascal-paper-search-mcp"
    }
  }
}
```

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