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Why this server?
Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support. This aligns with the semantic search requirement.
Why this server?
A biomedical literature annotation and relationship mining server based on PubTator3, providing convenient access through the MCP interface. Directly relevant for finding and annotating academic papers.
Why this server?
An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries; can potentially include academic papers related to earth science.
Why this server?
A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language. Enables search for papers.
Why this server?
MCP Extension that gives LLMs access to arXiv and Hugging Face papers, enabling users to discuss papers, search for new research, and organize literature reviews through natural conversation.
Why this server?
Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
Why this server?
This server allows users to interact with their Zotero library through the Model Context Protocol, providing tools for searching items, retrieving metadata, and accessing full text using natural language queries.
Why this server?
Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol, allowing you to search your library, access content, discuss papers, get summaries, and analyze citations.
Why this server?
A Model Context Protocol server that enables AI assistants to perform web searches using SearXNG, a privacy-respecting metasearch engine. Can be used to find academic papers, although not specialized for it.
Why this server?
Provides tools to search and retrieve economic data series from the Federal Reserve Economic Data (FRED) API. This could be tangentially related if the user is looking for economics papers.