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Open Alex MCP Server

@drAbreu

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

drAbreu

投稿者

Dr. Jorge Abreu Vicente

Open Alex MCP Server について

Professional MCP server for OpenAlex academic research - ML-powered author disambiguation, institution resolution, and comprehensive researcher profiles with ORCID integration

#openalex#academic#research#author#disambiguation#orcid#scholar#publications#citations#institutions#ml#fastmcp

Open Alex MCP Server の設定

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": {
    "alex-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/drAbreu/alex-mcp.git",
        "alex-mcp"
      ]
    }
  }
}

Open Alex MCP Server のツール

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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Open Alex MCP?

It is a professional Model Context Protocol (MCP) server for author disambiguation and institution resolution using the OpenAlex.org API. It provides tools for author search, work discovery, topic analysis, and source lookup, targeting researchers, librarians, and AI agents.

How to use Open Alex MCP?

Install Python 3.10+, clone the repository, create a virtual environment, and install the package with pip install -e .. Run the server with ./run_alex_mcp.sh. Configure an MCP-compatible client (e.g., Claude Desktop) by adding a JSON entry pointing command to the script. The server exposes tools such as disambiguate_author, search_authors, get_author_profile, resolve_institution, search_works, get_work_details, search_topics, analyze_topics, and search_sources.

Key features of Open Alex MCP

  • ML-powered author disambiguation with confidence scoring
  • Institution name and abbreviation resolution
  • ORCID integration for highest‑accuracy matching
  • Career stage determination and metrics
  • Multiple ranked candidates for automated decision‑making
  • Built with FastMCP following MCP best practices

Use cases of Open Alex MCP

  • Disambiguating an author’s identity when multiple researchers share a name
  • Expanding institutional abbreviations (e.g., MIT → Massachusetts Institute of Technology)
  • Searching scholarly works with filters by author, year, source type, or topic
  • Retrieving detailed profiles and publication lists for a specific author
  • Analyzing a text’s title/abstract to identify research topics and concepts

よくある質問

1

What dependencies does Open Alex MCP require?

Python 3.10 or higher and an MCP‑compatible client (e.g., Claude Desktop). The package uses the OpenAlex API and the FastMCP framework.

2

Where does the data come from?

All data is retrieved in real‑time from the OpenAlex.org API. No local database or API key is mentioned.

3

What are the known limits?

The server implements respectful API usage with proper delays and rate limiting. Tool parameters have maximum result limits (e.g., `max_candidates` between 1–25).

4

Do I need an API key?

No. The README does not mention any authentication or API key requirement for accessing OpenAlex.

5

Which transport protocol does it use?

It uses the Model Context Protocol (MCP). The specific transport (stdio, HTTP, etc.) is not detailed in the README.

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