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    Enables streamlined academic research and author disambiguation by providing AI agents with optimized access to the OpenAlex.org API. It supports searching for authors, resolving institutional affiliations, and retrieving scholarly works with detailed citation metrics.
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    MIT
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    Provides a catalog of curated author writing styles and tools to blend or analyze them across eight dimensions for text and image prompt generation. It enables users to apply structured literary patterns through deterministic style modeling and coordinate-based interpolation.
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    MCP server for MDMA (Markdown Document with Mounted Applications) — interactive Markdown with forms, approval gates, tables, and more. Exposes the MDMA spec, authoring prompts, package metadata, and live docs to AI assistants so agents can author and integrate MDMA correctly.
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    Persistent cloud memory for AI coding assistants. 28 MCP tools for semantic search, auto-learning, task tracking, correction patterns, knowledge graphs, and session replay across Claude Code, Cursor, Windsurf, Cline, and any MCP client. Encrypted at rest. Team shared memory with author attribution.
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    MIT
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    Enables AI agents to search and retrieve academic papers from China National Knowledge Infrastructure (CNKI), supporting various search types including subject, keyword, author, and DOI lookups.
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    Enables searching and retrieving academic papers from arXiv with support for advanced filtering by author, category, and date, plus full paper content extraction.
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    MIT
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    Provides access to the Elsevier Scopus API, enabling AI assistants to search for academic papers, retrieve detailed abstracts, and look up author profiles. It facilitates bibliometric research and scholarly data analysis through natural language commands.
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    MIT
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    Enables AI clients to search Aspen Discovery library catalogs and check real-time book availability by keyword, author, or ISBN. This server allows users to verify local library inventory and filter book recommendations accordingly.
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    MIT
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    Enables searching and retrieving academic papers from arXiv by various criteria including title, author, and category, with support for extracting full text content from PDFs.
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    MIT
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    Enables web scraping and content extraction from URLs using the Trafilatura library. Extracts main text content and metadata (title, author, date) from web pages with configurable options for comments and tables.
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    Apache 2.0
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    A Python-based MCP server that enables searching for high-energy physics literature on INSPIRE-HEP by title, author, or full text. It provides optimized search results including citations, abstracts, and arXiv links while allowing filters for publication date and collaboration size.
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    MIT