关键词 "practice languages" 的搜索结果, 共 20 条, 只显示前 480 条
Model Context Protocol Servers written in different languages by me to use along with Claude, Cursor, and other apps
A flexible MCP server that batch processes code files to remove comments across multiple programming languages. Currently supports JavaScript, TypeScript, and Vue files with regex-based pattern matchi
Swytchcode accelerates API integrations, allowing developers to seamlessly integrate any API using Postman collections or OpenAPI specifications. With Swytchcode, developers can obtain production-read
MCP Server for Coding Standards - providing standardized coding guidelines and best practices
A Go-focused Model Context Protocol (MCP) server that provides idiomatic Go code generation, style guidelines, and best practices. This tool helps Language Models understand and generate high-quality
Mirror of
An MCP server that provides LLMs with efficient access to package documentation across multiple programming languages
A beginner-friendly guide server that helps users understand MCP concepts, provides interactive examples, and demonstrates best practices for building MCP integrations. Features tools for exploring MC
Practice repository for MCP server implementation
An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with semantic search capabilities, quality
An intelligent MCP server that serves as a guardian of development knowledge, providing Cline assistants with curated access to latest documentation and best practices across the software development
A deliberately vulnerable MCP server demonstrating command injection flaws. This Python implementation shows how lack of input sanitization in file paths leads to critical security vulnerabilities all
MCP Server Practice
A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.
<p>Overview Spark-TTS 是由出门问问(Mobvoi)联合多所顶尖学术机构(如香港科技大学、上海交通大学)最新推出的新一代语音合成模型,其核心创新在于BiCodec编码技术和与文本大模型的结构统一性,利用大型语言模型 (LLM) 的强大功能实现高度准确且自然的语音合成。</p> <p>Spark-TTS is an advanced text
类似 Manus 但基于 Deepseek R1 Agents 的本地模型。 Manus AI 的本地替代品,它是一个具有语音功能的大语言模型秘书,可以 Coding、访问你的电脑文件、浏览网页,并自动修正错误与反省,最重要的是不会向云端传送任何资料。采用 DeepSeek R1 等推理模型构建,完全在本地硬体上运行,进而保证资料的隐私。 Features: 100% 本机运行:
Experience revolutionary language learning through real-time conversation practice, instant grammar correction, pronunciation training, and personalized vocabulary building in 30+ languages.
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