What does crossref-MCP-Server search?
It searches the Crossref database of academic literature, which contains metadata for scholarly works, journals, and funders.
@JackKuo666
基本情報
🔍 Enable AI assistants to search and access academic paper metadata through Crossref using a simple MCP interface.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"crossref-MCP-Server": {
"command": "python",
"args": [
"crossref_server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
crossref-MCP-Server bridges AI assistants to the Crossref database of academic literature through the Model Context Protocol (MCP). It enables programmatic search for scientific articles by DOI, title, or keywords, and access to metadata, journal, and funder information.
Install Python 3.10+ and the required dependencies (FastMCP, requests, bs4, habanero). Clone the repository, run pip install -r requirements.txt, then start the server with python crossref_server.py. For use with Claude Desktop or Cline, add the server configuration to cline_mcp_settings.json or claude_desktop_config.json using the appropriate path to Python and the script.
It searches the Crossref database of academic literature, which contains metadata for scholarly works, journals, and funders.
Python 3.10+ is required. The server depends on `FastMCP`, `requests`, `bs4`, and `habanero` (installed via `requirements.txt`).
Add a JSON entry for the `crossref` MCP server to your `claude_desktop_config.json` or `cline_mcp_settings.json`, specifying the Python executable and path to `crossref_server.py`.
No – the tool uses the publicly available Crossref API. For better API access priority, providing your email address when initializing the CrossrefSearch class is recommended (not required).
MIT License.

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