# bioRxiv-MCP-Server

> Use this tool when you need to integrate AI assistants with bioRxiv's preprint repository, enabling them to search and access biology preprints through a simple Model Context Protocol (MCP) interface. It solves the problem of accessing bioRxiv papers programmatically, providing inputs such as search queries and outputs like relevant preprint metadata. Use it when building AI applications that require biology research data, such as academic search engines or research assistants.

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

## Description

🔍 Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.

The bioRxiv MCP Server provides a bridge between AI assistants and bioRxiv's preprint repository through the Model Context Protocol (MCP). It allows AI models to search for biology preprints and access their

## 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:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ly1yoo93vv)
- **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-mcp-server"
    }
  }
}
```

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