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quality🔍 A biomedical literature annotation and relationship mining server based on PubTator3, providing convenient access through the MCP interface.
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Python
MIT License
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Why this server?
Provides a biomedical literature annotation and relationship mining server based on PubTator3, offering convenient access through the MCP interface, useful for specialized literature review.
Why this server?
Provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections, broadening the scope of accessible research materials.
Why this server?
Specifically designed to enable AI assistants to search and access Google Scholar papers through a simple MCP interface, directly addressing the user's request.
Why this server?
This tool extends AI clients to provide access to arXiv and Hugging Face papers, assisting with literature review tasks such as discussing papers, searching for new research, and organizing literature reviews.
Why this server?
Provides a bridge between AI models and academic research by enabling precise paper searches and access to full paper content, facilitating AI's ability to engage with scientific literature. Focuses on pre-prints.
Why this server?
Enables searching and retrieving research articles from PubMed with a focus on open access content and full-text link retrieval.
Why this server?
This tool enables the AI to access IETF RFC documents. Very useful for technical research.
Why this server?
This tool fetches and processes documentation using vector search, enabling AI assistants to augment their responses with relevant documentation context.
Why this server?
Allows AI assistants to access research papers and related code implementations from PapersWithCode, which enhances literature review by linking research with practical code examples.
Why this server?
Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities, which can be beneficial for finding diverse sources of information during literature reviews.