#academic

sholarPlot MCP - AI-powered scientific figure generator for researchers. Create publication-ready charts, neural network diagrams, flowcharts & mechanism illustrations that meet Nature/Science/IEEE journal standards in seconds

学术论文检索聚合 MCP 服务 基于 Go 语言实现的学术论文检索聚合 MCP (Model Context Protocol) 服务，通过统一接口同时调用多个学术数据库，提供智能去重、合并和排序的搜索结果。 功能特性 🔍 多源聚合搜索: 同时调用6个主要学术数据库 🧠 智能去重合并: 基于DOI和标题的智能重复检测 📊 统一数据格式: 标准化的论文元数据结构 🚀 并发高性能: 异步并行调用所有数据源 🎯 精确结果: 智能排序和相关性评分 🌐 MCP 协议支持: 完整的MCP工具接口 📝 详细状态报告: 实时数据源状态和性能监控 支持的数据源 arXiv: 物理学、数学、计算机科学预印本 (免费) Semantic Scholar: AI驱动的学术搜索引擎 (免费) Crossref: 全球最大的DOI注册机构 (免费) Scopus: Elsevier学术数据库 (需要API密钥) ADSABS: NASA天体物理学数据系统 (需要API密钥) Sci-Hub: 学术论文PDF获取 (免费，但需注意法律风险)

青提MCP，旨在通过模型上下文协议（Model Context Protocol，MCP）将青提学术数据库与不同 AI 助手衔接，支持自然语言驱动的专业学术查询。

MCP server for arXiv.org - Search, analyze, and export academic papers with AI assistants. Features advanced paper discovery, citation analysis, trend tracking, and multi-format exports.

OpenAI Deep Research MCP Server enables AI assistants to conduct comprehensive, multi-step research through intelligent web search and content synthesis. Transforms complex research queries into structured, citation-backed reports without writing custom search logic. Features iterative exploration, automatic knowledge gap identification, and seamless integration with OpenAI's Deep Research models for scholarly-quality research automation.

Professional MCP server for OpenAlex academic research - ML-powered author disambiguation, institution resolution, and comprehensive researcher profiles with ORCID integration Transform your AI assistant into a powerful academic research tool! This MCP server provides seamless access to OpenAlex's comprehensive database of 200+ million scholarly works and researchers. Features include intelligent author disambiguation using machine learning, automatic institution name expansion (MIT → Massachusetts Institute of Technology), ORCID-verified researcher profiles, and detailed academic metrics. Perfect for researchers, academics, and developers working with scholarly data.

A professional MCP server for academic research using OpenAlex.org API. Provides ML-powered author disambiguation, institution resolution, ORCID integration, scholarly work search, and research topic analysis. Perfect for academic research, literature reviews, and author identification tasks.

MCP server for searching arXiv academic papers with natural language queries

A MCP Server for finding from AEA.

An MCP server designed for academic literature research using the OpenAlex free API.

An MCP (Model Context Protocol) server that connects to the OpenAlex API.

A MCP Server for pdffigures2: This server processes scholarly PDFs to extract figures, tables, captions, and section titles with high accuracy. It is designed to support researchers and developers in efficiently analyzing academic documents.

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