Semantic Scholar MCP Server
Overview
What is the Semantic Scholar MCP Server?
The Semantic Scholar MCP Server is a FastMCP server implementation that provides comprehensive access to academic paper data, author information, and citation networks through the Semantic Scholar API.
How to use the Semantic Scholar MCP Server?
To use the server, install it using FastMCP by providing your Semantic Scholar API key (optional) and access it for various functionalities like paper search, author details, and citation analysis.
Key features of the Semantic Scholar MCP Server?
- Paper Search & Discovery: Full-text search with advanced filtering, title-based matching, and paper recommendations.
- Citation Analysis: Explore citation networks and track references.
- Author Information: Search for authors and retrieve their publication history.
- Advanced Features: Complex search options, batch operations, and error handling.
Use cases of the Semantic Scholar MCP Server?
- Conducting literature reviews through extensive paper searches.
- Performing citation analysis for research impact.
- Gathering author profiles for academic networking.
- Accessing batch details for multiple papers and authors efficiently.
FAQ from the Semantic Scholar MCP Server?
- What is required to run the MCP Server?
You need Python 3.8+ and the FastMCP framework installed.
- Is an API key necessary?
No, the API key is optional. Using it grants higher rate limits and more features.
- What sort of data can I access?
You can access paper metadata, author profiles, citation contexts, and more from the Semantic Scholar database.
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