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"Using Google Scholar for Conducting Deep and Critical Literature Reviews" matching MCP servers:

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    Enables academic research through Google Scholar by searching for papers, finding author publications, discovering recent research, and identifying highly cited works through web scraping with natural language queries.
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    MIT
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    This server enables users to programmatically scrape and access Google Maps reviews through a Multi-Agent Conversation Protocol interface to the Apify API.
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    A local MCP server that allows users to search Google Scholar for academic papers by topic, author, and year range without requiring API keys. It utilizes web scraping to provide paginated results for research and academic exploration through natural language.
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    A specialized MCP server that provides a structured interface to the Europe PMC database for biological and clinical evidence retrieval. It enables LLMs to gather, rank, and synthesize published research focusing on therapeutic targets and disease associations.
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    MIT
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    Enables searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.
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    MIT
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    Enables searching and retrieving academic papers from arXiv and DBLP databases with advanced filtering options. Supports downloading PDFs and provides detailed paper information including titles, authors, abstracts, and publication dates.
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    MIT
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    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
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    An academic paper management tool that enables multi-source research searching, batch PDF analysis, and the generation of comprehensive, cross-literature reviews. It features intelligent token compression and quality evaluation to streamline the literature review workflow for researchers.
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    MIT
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    An MCP server for organizing research papers, books, and digital sources by tracking reading progress and taking structured notes. It enables AI assistants to manage literature databases and link sources to specific concepts within a knowledge base.
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    MIT
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    A local academic tool that enables searching across nine academic sources, downloading PDFs, and performing AI-powered analysis of research papers. It also supports generating citation networks and recommending papers based on local workspace code.
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    MIT
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    Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.
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    MIT
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    Advanced cognitive thinking MCP server with DAG-based thought graph, multiple reasoning strategies, metacognition, and self-evaluation. A significant evolution beyond sequential-thinking MCP, providing structured deep reasoning with graph-based thought management.
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    Enables deep web search across multiple providers including Google, Bing, Brave, DuckDuckGo, and Perplexity, with support for comprehensive AI-powered research using intelligent multi-engine queries.
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    MIT