Academic Author Network MCP Server

A Model Context Protocol (MCP) server for analyzing academic author networks and research collaborations.

Features

get_coauthors: Find all co-authors for a given researcher
get_author_keywords: Extract research keywords from Google Scholar profile

Installation

Clone or download this repository
Create a virtual environment:
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
Install dependencies:
pip install -r requirements.txt

Usage

Running the Server

python server.py

Example Tool Calls

Finding Co-authors

result = await get_coauthors(
    name="Yann", 
    surname="LeCun",
    institution="NYU"  # Optional
)

Getting Research Keywords from Google Scholar

keywords = await get_author_keywords(
    name="Yann",
    surname="LeCun"
)

Data Sources

The server uses:

Semantic Scholar API: Primary source for author and publication data
OpenAlex API: Open academic knowledge graph
Crossref API: DOI resolution and metadata
Google Scholar: Web scraping for research interests and keywords

Features

Rate Limiting: Respects API rate limits and includes delays for web scraping
Caching: Reduces redundant API calls and scraping requests
Error Handling: Graceful handling of API failures and scraping issues
Data Merging: Combines data from multiple sources for co-authors
Async Operations: Parallel API requests for better performance

Configuration

The server includes built-in rate limiting and error handling. No additional configuration is required for basic usage.

Limitations

Free tier API limits apply
Google Scholar scraping includes respectful delays
Results quality depends on author name uniqueness
Web scraping may occasionally fail due to anti-bot measures

Contributing

Contributions are welcome! Please ensure all API integrations respect rate limits and terms of service.

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables analysis of academic author networks and research collaborations by retrieving co-authors and research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar.

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