# PaperMCP

> Use this tool when you need to efficiently search and filter vast amounts of academic literature, or when streamlining research and literature reviews is crucial. PaperMCP solves problems of information overload and tedious manual searching by providing comprehensive metadata on millions of scholarly works. It accepts keywords, country, and publication year as inputs and returns relevant papers with abstracts, citation data, and institutional affiliations.

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

## Description

An academic paper retrieval server that enables AI assistants to search and filter millions of scholarly works from the OpenAlex database by keywords, country, and publication year. It provides comprehensive metadata including abstracts, citation data, and institutional affiliations to streamline academic research and literature reviews.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j3ytkb35n6)
- **Repository:** <https://github.com/guangxiangdebizi/Paper-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": "guangxiangdebizi-paper-mcp"
    }
  }
}
```

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