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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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    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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    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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    A simple Model Context Protocol (MCP) server that allows GitHub Copilot to access custom tools, including an example tool to return the author name.
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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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    We built a hosted MCP server that gives AI agents two capabilities through a single connection: 1. img-forge — Image generation across 5 quality tiers (SDXL Lightning to Gemini 3.1 Flash). One tool call, 5-30 seconds, done. 2. Stackbilder — Full-stack architecture scaffolding. Describe a product, get a 6-mode pipeline (Product → UX → Risk → Architect → TDD → Sprint)
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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 users to search and retrieve content from Xiaohongshu (Red Book) platform with smart search capabilities and rich data extraction including note content, author information, and images.
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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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    A comprehensive Model Context Protocol server that provides AI assistants with direct access to Semantic Scholar's academic database, enabling advanced paper discovery, citation analysis, author research, and AI-powered recommendations.
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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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    Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.
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    An MCP server for creating, loading, and editing RFC TXT documents using the rfc-editor Python library. It provides a suite of tools to manage document components including sections, abstracts, titles, and author metadata.
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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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    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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    An MCP server that enables interaction with Adobe Experience Manager (AEM) Assets through the Author API. It allows users to browse folders, search for assets, retrieve detailed asset information, and perform bulk metadata updates using natural language.
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    Enables searching and accessing ArXiv research papers with advanced query capabilities, and provides sequential thinking tools for structured problem-solving. Supports Boolean operators, field-specific searches, author lookups, and dynamic thought processes through a modular Docker-based architecture.
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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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    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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    Enables semantic search through a Pinecone vector database containing economic books and academic papers using natural language queries. Provides 10 specialized search tools with metadata filtering for precise discovery of economic theories, concepts, and research by author, subject, or book.
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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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    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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    Enables searching the YÖK National Thesis Center and retrieving thesis contents in Markdown format for LLM applications. It allows users to perform detailed searches based on criteria like author, university, and subject while providing programmatic access to thesis metadata and PDF content.
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    Provides tools for generating optimized images via Google's Gemini model and fetching weather forecasts and alerts from the National Weather Service. It enables users to create visual content and retrieve environmental data seamlessly within MCP-compatible clients.
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    A personality-based MCP server that enables AI assistants to manage WordPress content through natural language by mapping human intents to semantic operations. It provides role-appropriate tools for drafting, editing, and publishing while handling transparent format conversions and native permission enforcement.
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    The server integrates with the free IMF data API and provides various features to facilitate data retrieval and analysis. The server is built using the FastMCP framework and offers the following functionalities:
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    Apache 2.0
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    Enables AI assistants to interact with IG Trading API for forex, indices, and commodities trading. Provides 21 tools for account management, position trading, order placement, market data analysis, and watchlist management.
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    Exposes the Integrated Memory System (IMS) capabilities, including session management, memory storage, and RAG-based context search, via the Model Context Protocol. It allows MCP-aware clients to interact with IMS backends to maintain long-term memory and context across sessions.
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