# Scientific Paper Harvester MCP Server

> Use this tool when you need to access and analyze large volumes of scientific papers across multiple disciplines. It solves problems related to research discovery, citation analysis, and metadata extraction by providing real-time access to over 200 million papers from sources like arXiv, OpenAlex, and PubMed Central. The tool accepts search queries and returns metadata and full-text extracts through a unified Model Context Protocol interface.

Canonical page: https://skillsregistry.net/skills/benedict2310-scientific-papers-mcp  
JSON: https://api.skillsregistry.net/v1/skills/benedict2310-scientific-papers-mcp

## Description

Provides real-time access to over 200 million scientific papers and full-text extraction from major academic sources including arXiv, OpenAlex, and PubMed Central. It enables users to search, fetch metadata, and analyze citations across multiple research disciplines through a unified Model Context Protocol interface.

## 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:** [Glama](https://glama.ai/mcp/servers/xz1t0mgrak)
- **Repository:** <https://github.com/benedict2310/Scientific-Papers-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": "benedict2310-scientific-papers-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benedict2310-scientific-papers-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benedict2310-scientific-papers-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