# bioRxiv

> Use this tool when you need to search and retrieve scientific articles from bioRxiv, a popular preprint server for biological sciences, to stay up-to-date on the latest research. It solves problems of manual searching and provides programmatic access to preprints through keyword-based searching, advanced searching, and metadata retrieval using DOIs. The tool is ideal for researchers, AI assistants, and applications that require efficient and reliable access to biological research preprints.

Canonical page: https://skillsregistry.net/skills/jackkuo666-biorxiv  
JSON: https://api.skillsregistry.net/v1/skills/jackkuo666-biorxiv

## Description

This MCP server provides a specialized interface for searching and retrieving scientific articles from bioRxiv, a popular preprint server for biological sciences. Built with Python using the FastMCP framework, it offers three main tools: keyword-based searching, advanced searching with multiple parameters (including author, date range, and section filters), and metadata retrieval using DOIs. The implementation handles asynchronous processing through asyncio and includes comprehensive error handling and logging, making it particularly useful for researchers, AI assistants, and applications that need programmatic access to the latest biological research preprints.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jackkuo666-biorxiv)
- **Repository:** <https://github.com/jackkuo666/biorxiv-mcp-server>

## 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": "jackkuo666-biorxiv"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jackkuo666-biorxiv` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jackkuo666-biorxiv/pull`

---
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