Semantic Scholar Fast MCP Server
Academic paper, author, and citation data access via the Semantic Scholar API.
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Overview
This MCP server provides a modular interface for querying the Semantic Scholar API. It enables AI agents to perform full-text searches, retrieve detailed author profiles, and explore complex citation networks. Developers can leverage batch operations for efficient data retrieval and utilize various ranking strategies for more relevant research results. The server architecture is organized into distinct modules for papers, authors, and recommendations to maintain a clear separation of concerns. It includes built-in support for rate-limiting compliance and connection pooling, ensuring robust interaction with the underlying academic databases.
Our verdict
With a security score of 39/100, this server is classified as high risk. The assessment is primarily due to the server being community-maintained rather than vendor-official and its reliance on unreviewed authentication and read-only mechanisms. Given these factors, it is best suited for research environments or local development where the security posture of third-party community tools can be managed by the user.
- Modular codebase structure improves maintainability
- Includes built-in rate-limiting and connection pooling
- Supports both authenticated and unauthenticated API access
- Zero direct dependencies reduce supply-chain surface
- High risk score due to lack of editorial review
- Authentication methods have not been security reviewed
- No verified status for read-only mode implementation
- Community-maintained without official vendor support
Compatibility
No compatibility data yet.
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