semantic-scholar-fastmcp-mcp-server
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Semantic Scholar MCP Server is a FastMCP server implementation providing access to academic paper data, author information, and citation networks via the Semantic Scholar API.
The Semantic Scholar MCP Server is designed to facilitate comprehensive access to academic resources through the Semantic Scholar API. It offers a modular structure that enhances maintainability and scalability, making it easier to manage and extend. The server supports a wide range of functionalities, including paper search and discovery, citation analysis, and author information retrieval. It is built on the FastMCP framework, ensuring efficient batch operations and compliance with rate limits. The server can be configured for both authenticated and unauthenticated access, providing flexibility in usage. With features like advanced search with ranking strategies, customizable field selection, and connection pooling, the Semantic Scholar MCP Server is a robust tool for researchers and developers looking to integrate academic data into their applications.
Features
- Paper Search & Discovery: Full-text search with advanced filtering and recommendations.
- Citation Analysis: Explore citation networks and analyze citation context and influence.
- Author Information: Search for authors, view profiles, and retrieve publication history.
- Advanced Features: Complex search strategies, efficient batch operations, and rate limiting compliance.
- Graceful Shutdown & Error Handling: Ensures smooth operation and resource management.
Tools
paper_relevance_search
Search for papers using relevance ranking with advanced 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 for specific paper retrieval.
paper_details
Get comprehensive details about a specific paper using various ID formats.
author_search
Search for authors by name and retrieve detailed profiles.
