# crossref-mcp

> crossref-mcp — arterorx-crossref-mcp. Use this tool when you need to search and explore scientific papers, citations, and authors, solving problems of research and discovery in academic and scientific contexts. It provides an interface for querying and retrieving relevant information, accepting search terms and returning detailed results. Ideal for use cases involving literature reviews, citation analysis, and author profiling.

Canonical page: https://skillsregistry.net/skills/arterorx-crossref-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arterorx-crossref-mcp

## Description

MCP server for Claude — search and explore scientific papers, citations, and authors

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/arterorx/crossref-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": "arterorx-crossref-mcp"
    }
  }
}
```

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