MCP-Mirror/YUZongmin_semantic-scholar-fastmcp-mcp-server
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A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
Tools
Functions exposed to the LLM to take actions
paper_relevance_search
Search for papers using relevance ranking with comprehensive query parameters.
paper_bulk_search
Bulk paper search optimized for larger result sets with sorting options.
paper_title_search
Find papers by exact title match with detailed information.
paper_details
Get comprehensive details about a specific paper using various ID formats.
paper_batch_details
Efficiently retrieve details for multiple papers with support for up to 1000 IDs.
paper_citations
Get papers that cite a specific paper with citation context and sorting options.
paper_references
Get papers referenced by a specific paper with reference context and sorting options.
author_search
Search for authors by name with customizable fields and publication counts.
author_details
Get detailed information about an author including metrics like h-index.
author_papers
Get papers written by an author with field customization and sorting.
author_batch_details
Retrieve information for up to 1000 authors with comprehensive metadata.
paper_recommendations_single
Get recommendations based on a single paper with customizable fields.
paper_recommendations_multi
Get recommendations based on multiple papers with positive and negative examples.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client
