# PaperMCP

> Use this tool when you need to streamline academic research by searching and accessing papers from multiple sources. PaperMCP solves the problem of fragmented academic databases by providing a unified interface for search, download, and text extraction from 23+ sources, including arXiv, PubMed, and Google Scholar. It takes in search queries and returns relevant academic papers, making it ideal for researchers, students, and academics seeking efficient access to scholarly articles.

Canonical page: https://skillsregistry.net/skills/telagod-papermcp  
JSON: https://api.skillsregistry.net/v1/skills/telagod-papermcp

## Description

Enables searching and accessing academic papers from 23+ sources (including arXiv, PubMed, Google Scholar) through the Model Context Protocol, with unified tools for search, download, and text extraction.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qfg4z3a28t)
- **Repository:** <https://github.com/telagod/papermcp>

## 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": "telagod-papermcp"
    }
  }
}
```

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