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"Resources and information on conducting deep research" matching MCP servers:

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    Provides access to OpenAlex's catalog of 240+ million scholarly works through 18 specialized tools for conducting literature reviews, analyzing citations, tracking research trends, and mapping the scholarly landscape including authors, institutions, and collaboration networks.
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    MIT
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    A bounded evidence review engine that ingests documents, extracts evidence for a given claim, detects contradictions, and produces auditable evidence packets without hallucinations or open-web research.
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    MCP server for technical research in the TOTVS Protheus ecosystem, enabling AI agents to query official documentation, community knowledge bases, and release notes through structured tools. It supports runtime error debugging and ADVPL code generation.
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    Enables AI assistants to search arXiv's research repository, download papers, and access their content programmatically. Includes specialized prompts for comprehensive academic paper analysis covering methodology, results, and implications.
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    MIT
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    A remote MCP server for traceable research across JW.org and the Watchtower Online Library, providing tools for searching, retrieving articles, footnotes, cross-references, and daily texts with optional AI-powered synthesis.
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    Provides AI assistants with access to University of Alabama at Birmingham's Research Computing documentation, enabling users to search and retrieve information about the Cheaha HPC cluster, SLURM job scheduling, storage systems, and available software tools.
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    MIT
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    Provides comprehensive access to Apple's development documentation ecosystem including hidden Xcode docs, Swift Evolution proposals, GitHub repositories, and WWDC session notes. Enables developers to search and retrieve advanced Apple development resources not available through public channels.
    15
    MIT
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    A stage-gated MCP server for processing academic papers, enabling sequential extraction of paper sections, methodology, results, and report generation through a controlled workflow with enforced tool visibility across stages.
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    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
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    AGPL 3.0
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    An MCP server that provides deep knowledge about OpenAI APIs and SDKs, enabling users to query technical information through various MCP clients including ChatGPT Deep Research, Cursor, and OpenAI Responses API.
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    Enables local analysis of scientific papers including PDF parsing, mathematical formula extraction with AST generation, PyTorch code generation from methodology, and automated Markdown report generation with visualizations.
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