What is Semantic Scholar MCP Server?
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 Semantic Scholar MCP Server?
To use the server, install it using FastMCP and optionally provide your Semantic Scholar API key for enhanced access. You can perform various operations such as searching for papers, retrieving author details, and analyzing citations.
Key features of Semantic Scholar MCP Server?
- Full-text paper search with advanced filtering and recommendations.
- Citation network exploration and analysis.
- Author search with detailed profiles and publication history.
- Support for batch operations and customizable field selection.
- Rate limiting compliance and error handling.
Use cases of Semantic Scholar MCP Server?
- Researchers can discover relevant academic papers efficiently.
- Academics can analyze citation networks to understand influence and trends.
- Students can retrieve detailed author information and publication history.
FAQ from Semantic Scholar MCP Server?
-
Can I use the server without an API key?
Yes, the server can be accessed without an API key, but with lower rate limits. -
What programming language is required?
The server requires Python 3.8 or higher. -
How does the server handle errors?
The server provides standardized error responses to help users understand issues.
What is Semantic Scholar MCP Server?
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 Semantic Scholar MCP Server?
To use the server, install it using FastMCP and optionally provide your Semantic Scholar API key for enhanced access. You can perform various operations such as searching for papers, retrieving author details, and analyzing citations.
Key features of Semantic Scholar MCP Server?
- Full-text paper search with advanced filtering and recommendations.
- Citation network exploration and analysis.
- Author search with detailed profiles and publication history.
- Support for batch operations and customizable field selection.
- Rate limiting compliance and error handling.
Use cases of Semantic Scholar MCP Server?
- Researchers can discover relevant academic papers efficiently.
- Academics can analyze citation networks to understand influence and trends.
- Students can retrieve detailed author information and publication history.
FAQ from Semantic Scholar MCP Server?
-
Can I use the server without an API key?
Yes, the server can be accessed without an API key, but with lower rate limits. -
What programming language is required?
The server requires Python 3.8 or higher. -
How does the server handle errors?
The server provides standardized error responses to help users understand issues.
