AuthorProfileMCP

Overview

AuthorProfileMCP is a Python-based MCP server that enables analysis of academic author networks and research collaborations. It provides tools to find co-authors for researchers and extract research keywords from their Google Scholar profiles. The server integrates multiple academic data sources including Semantic Scholar, OpenAlex, Crossref, and Google Scholar APIs, with built-in rate limiting, caching, and error handling mechanisms to ensure reliable operation.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• get_coauthorsget_coauthors(name, surname, institution=None)

  Find all co-authors for a given researcher

  Try:Find all co-authors for Yann LeCunTry:Get co-authors of Marie Curie at University of ParisTry:Who has collaborated with Andrew Ng?
• get_author_keywordsget_author_keywords(name, surname)

  Extract research keywords from Google Scholar profile

  Try:Get research keywords for Yann LeCunTry:What are the main research areas of Fei-Fei Li?Try:Show me the keywords from Geoffrey Hinton's profile

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Installation

# Clone repository
git clone https://github.com/alperenkocyigit/AuthorProfileMCP.git
cd AuthorProfileMCP

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run server
python server.py

{
  "mcpServers": {
    "author-profile": {
      "command": "python",
      "args": ["/path/to/AuthorProfileMCP/server.py"]
    }
  }
}

FAQ

What APIs does this MCP server use?

The server uses Semantic Scholar API, OpenAlex API, Crossref API, and Google Scholar for data collection.

Are there rate limits?

Yes, the server includes built-in rate limiting and respectful delays for web scraping to avoid API restrictions.

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