Semantic Scholar MCP Server is a FastMCP server that connects to the Semantic Scholar API. It provides access to academic data, including papers, author details, and citation networks.
To begin, install the server using FastMCP. For higher usage limits, you can provide your own Semantic Scholar API key. You can then search for papers, get author information, and explore citation networks.
Key features include full-text paper search with filtering, citation network analysis, and detailed author profiles. It also supports batch operations, custom data fields, and built-in rate limit handling.
Researchers can use it to find relevant papers quickly. Academics can analyze citations to track trends. Students can look up authors and their publication history.
You can use the server without an API key, but rate limits will apply. It requires Python 3.8 or higher. The server returns clear, standardized error messages to help diagnose any issues.