全面解析Mc Server DemoMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Mc Server Demo能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
- 安装状态
- 已补齐
命令预览
pip install -r requirements.txt
全面解析Mc Server DemoMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Mc Server Demo能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
命令预览
pip install -r requirements.txt
全面解析Paper Find MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Paper Find MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
命令预览
pip install paper-find-mcp
An academic paper retrieval server that enables AI assistants to search and filter millions of scholarly works from the OpenAlex database by keywords, country, and publication year. It provides comprehensive metadata including abstracts, citation data, and institutional affiliations to streamline academic research and literature reviews.
Your AI's research copilot. Searches 6 academic databases, downloads real PDFs, reads them cover to cover, extracts evidence, renders figures, syncs to Zotero.
全面解析Papersearch (arXiv)MCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Papersearch (arXiv)能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Enables searching and downloading academic papers from 14 platforms including arXiv, PubMed, Google Scholar, Web of Science, Springer, and Sci-Hub with unified data format and intelligent rate limiting.
Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools for research workflows and OpenAI Deep Research integration.
全面解析Paper Search MCP OpenaiMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Paper Search MCP Openai能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
命令预览
pip install -e
Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, and IACR. Fetch PDFs and extract full text to accelerate literature reviews. Get consistent…
命令预览
npx -y smithery mcp add adamamer20/paper-search-mcp-openai
Find and download academic papers from leading sources like arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, CrossRef, and IACR. Get standardized results and fetch full-text PDFs wh…
命令预览
npx -y smithery mcp add TitanSneaker/paper-search-mcp-openai-v2
mcp-remote
PapersGPT is a powerful Zotero plugin that seamlessly embeds state-of-the-art artificial intelligence into your research process. It empowers users to interact conversationally with single or multiple PDFs from their Zotero library, facilitating rapid insight extraction, summary generation, and more. Supporting a vast array of cutting-edge Large Language Models—including popular cloud services via OpenRouter and major providers, alongside one-click local execution of free SOTA LLMs for enhanced privacy—PapersGPT offers unparalleled flexibility.
命令预览
npx mcp-remote http://localhost:9080/sse [object Object]
Deep Research and Batch Tasks
Highest accuracy web search for AIs
命令预览
npx -y smithery mcp add parallel/search
Enables querying, modifying, and managing Parquet files with CRUD operations, semantic search, audit logging, and rollback capabilities for structured data storage.
Hosted MCP server for AI brand visibility research. Search brands, prompts, and dataset stats across Parse's AI visibility index covering ChatGPT, Google AI Overviews, Perplexity, Copilot, and more.
命令预览
npx -y smithery mcp add dimitry/parse-mcp
Search and discover products across a diverse marketplace of local stores. Access detailed information on specific items and store locations to streamline the shopping experience. Monitor platform st…
命令预览
npx -y smithery mcp add rubenayla/partle
全面解析Patchright Stealth BrowserMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Patchright Stealth Browser能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
AI-powered patent search and analysis across 220M+ global patents. Semantic search, prior art discovery, novelty/patentability reports, and patent content retrieval.
Enforces a three-phase gated workflow (Research → Plan → Implement) for complex coding tasks with explicit human approval at each phase transition and automatic context management to maintain focus.
Enables LLMs to search and retrieve PayNow Component documentation directly, accelerating system integration through natural language queries.