关键词 "summarize articles" 的搜索结果, 共 20 条, 只显示前 480 条
A modular, extensible Model Context Protocol (MCP) server for NTeALan REST APIs dictionaries and contributions. This project provides a unified interface for managing dictionary data, articles, and us
An example MCP Server utilising FastMCP and feedparser to inject BBC articles into Claude Desktop
A Telegram bot that fetches and summarizes cryptocurrency news using CryptoPanic API, xAI (Grok), and an MCP FastAPI server. Includes robust logging and error handling.
MCP server for news articles using the Webz.io API
A simple MCP server for search news articles
This project is a Model Context Protocol (MCP) server that integrates with the Space Flight News API to provide up-to-date spaceflight-related news articles.
A FastAPI-based MCP server tool that fetches and summarizes top Reddit posts using Azure OpenAI. It generates a daily PDF digest and uploads it to Slack, with support for topic-based subreddits and sc
An MCP server that delivers blockchain news and in-depth articles from BlockBeats for AI agents.
An MCP (Model Context Protocol) server that fetches and summarizes Wikipedia articles using Ollama LLMs, accessible via both command-line and Streamlit interfaces. Perfect for quickly extracting key i
This universal file viewer MCP server can provide an MCP client with read access to any folder on your file system. This helps when you would like to make several repositories or other files accessibl
🔍 Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.
With this MCP, the AI can query Reddit's post data and summarize it.
MCP Server for AI Summarization
MCP server to fetch and extract transcripts from YouTube videos. Enable AI/LLMs to have access to transcripts for further actions like summarize, write blog..
A MCP server to search for accurate academic articles.
Query and Summarize your chat messages.
Summarize YouTube videos in one click for free online with SlideBomb - get AI generated summaries instantly
DAMO GRAPE是浙江省肿瘤医院与阿里巴巴达摩院联合推出的全球首个基于平扫CT识别早期胃癌的AI模型。DAMO GRAPE突破传统影像学限制,基于深度学习分析非增强CT影像,实现对胃癌的高效筛查。在大规模临床研究中,DAMO GRAPE展现出85.1%的敏感性和96.8%的特异性,显著优于人类放射科医生。模型能提前6个月发现早期胃癌病灶,为胃癌的早期诊断和治疗提供新的高效手段,有望大幅提高胃癌
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