# Crossref MCP Server

> Use this tool when you need to retrieve detailed metadata for academic papers, journals, and funding organizations, or search scholarly research data using DOI-based lookups or keyword searches. It solves problems related to accessing and organizing academic literature, and provides outputs including metadata for papers, journals, and funding organizations. Ideal for use cases requiring programmatic access to scholarly research data, such as research automation, literature reviews, or data mining.

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

## Description

Enables AI assistants to search academic literature and retrieve detailed metadata for papers, journals, and funding organizations via the Crossref database. It supports DOI-based lookups and keyword searches to facilitate programmatic access to scholarly research data.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qajjjnpbd3)
- **Repository:** <https://github.com/JackKuo666/Crossref-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-crossref-mcp-server"
    }
  }
}
```

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