关键词 "Reading suggestions" 的搜索结果， 共 24 条, 只显示前 480 条
Fusion of traditional tarot practice and modern technology
Generate personalized reading experiences using AI-powered NovelistAI website.
AI tools for content creators
A revolutionary AI-powered tool helps students improve their writing skills and academic performance.
CodeRabbit is an AI tool that speeds up code reviews with AI insights.
Dump your thoughts. Perfect memory.
Automated writing and proofreading for academics.
AI-powered content writing and WordPress management system that generates high-quality blog posts based on keywords and outlines.
Pearson Test of English (PTE) is a computer-based academic exam with online mock tests available. Join APEUni to practice PTE for FREE and use AI scorings to evaluate your performance.
Generate high-quality voiceovers with SpeechGen.io's realistic Text-to-Speech AI technology.
Codeium is a free AI tool for code completion and search, supporting 70+ languages.
AI-powered tool improves screenplays with detailed feedback and personalized suggestions.
An intelligent assistant with unlimited memory power.
This is an intelligent skin assistant that analyzes skin issues, provides suggestions, and supports image uploads and multilingual Q&A.
A MCP server integration for Godot Engine that allows Claude, Cursor, Windsurf, VSCode, etc to perform actions like creating scenes, resources, scripts, reading errors and much more.
A minimal MCP (Model Context Protocol) server for file system operations. Supports reading, writing, and listing files via JSON-RPC 2.0, designed for integration with AI agents such as Windsurf, Claud
MCP server for reading and writing local files
file analysis MCP server using FastMCP. This server will provide tools to analyze text files, including word count, character frequency analysis, and reading file content.
MCP Server for reading many files at the same time
MCP server for reliably reading code rules into Agentic AI context
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Word documents. This server enables AI assistants to work with Word documents through a standardized interface,
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes,
A MCP server for reading data from NextCloud
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