发现优秀的 MCP 服务器

YouTube transcript extractor for your LLM

This could be translated in a few ways, depending on the nuance you want to convey. Here are a few options: **Option 1 (Most straightforward and likely best):** * **Simplified Chinese:** 下载 YouTube 字幕的 MCP 服务器 (Xiàzài YouTube zìmù de MCP fúwùqì) * **Traditional Chinese:** 下載 YouTube 字幕的 MCP 伺服器 (Xiàzài YouTube zìmù de MCP sìfúqì) * This is a direct translation. "下载 (xiàzài)" means "download," "YouTube" is the same, "字幕 (zìmù)" means "subtitles/captions/transcripts," and "服务器 (fúwùqì/sìfúqì)" means "server." "MCP" is left as is, assuming it's an acronym that doesn't need translation. **Option 2 (More descriptive, emphasizing the function):** * **Simplified Chinese:** 用于下载 YouTube 字幕的 MCP 服务器 (Yòng yú xiàzài YouTube zìmù de MCP fúwùqì) * **Traditional Chinese:** 用於下載 YouTube 字幕的 MCP 伺服器 (Yòng yú xiàzài YouTube zìmù de MCP sìfúqì) * This adds "用于 (yòng yú)" which means "used for" or "for the purpose of." It makes the purpose of the server slightly clearer. **Option 3 (More technical, if the audience is technical):** * **Simplified Chinese:** 用于 YouTube 字幕下载的 MCP 服务器 (Yòng yú YouTube zìmù xiàzài de MCP fúwùqì) * **Traditional Chinese:** 用於 YouTube 字幕下載的 MCP 伺服器 (Yòng yú YouTube zìmù xiàzài de MCP sìfúqì) * This uses "字幕下载 (zìmù xiàzài)" which is a more technical term for "subtitle download." **Which one to choose?** * **Option 1 is generally the best choice** unless you have a specific reason to use the others. It's clear, concise, and accurate. * If you want to emphasize the *purpose* of the server, use Option 2. * If you're talking to a technical audience, Option 3 might be appropriate. **Important Considerations:** * **MCP:** If "MCP" is an acronym that has a well-known Chinese translation in your specific context, you should use that translation instead of leaving it as "MCP." Without knowing what MCP stands for, I can't provide a better translation. * **Simplified vs. Traditional:** Choose the appropriate character set based on your target audience (Mainland China uses Simplified Chinese, while Taiwan, Hong Kong, and Macau primarily use Traditional Chinese). Therefore, my recommendation is: **Simplified Chinese:** 下载 YouTube 字幕的 MCP 服务器 **Traditional Chinese:** 下載 YouTube 字幕的 MCP 伺服器

MCP-SSE3

从 MCP 服务器演示创建。

台灣中央氣象局 MCP 伺服器

台灣中央氣象署 (CWA) API MCP 伺服器

Semantic Scholar API MCP server

语义学者的MCP服务器，用于搜索论文。

Kaggle MCP Server

用于与 Kaggle 竞赛交互的 MCP 服务器

Burp Suite MCP Server

BurpSuite 的 MCP 服务器

model-context-protocol-templates

MCP 模板和指南集合，用于快速开发 Model Context Protocol (MCP) 服务器。

MCP_Server

用于LLM集成的MCP服务器 (Yòng yú LLM jíchéng de MCP fúwùqì) Alternatively, depending on the context, you might also say: 用于LLM集成的MCP服务器流程 (Yòng yú LLM jíchéng de MCP fúwùqì liúchéng) - MCP Server for LLM Integration Process (Workflow) Here's a breakdown: * **用于 (Yòng yú):** For / Used for * **LLM 集成 (LLM jíchéng):** LLM Integration * **的 (de):** Possessive particle (of) * **MCP 服务器 (MCP fúwùqì):** MCP Server * **流程 (liúchéng):** Process (Workflow) - optional, depending on if you want to emphasize the process aspect.

ExternalAttacker MCP Server

一个模块化的外部攻击面测绘工具，集成了自动化侦察和漏洞赏金工作流程的工具。

SQLite MCP Server

镜子 (jìng zi)

Dumpling AI MCP Server

镜子 (jìng zi)

Memory MCP Server (Go)

一个提供知识图谱管理功能的模型上下文协议服务器。

🤗 Hugging Face MCP Server 🤗

镜子 (jìng zi)

optimized-memory-mcp-server

镜子 (jìng zi)

Olostep MCP Server

镜子 (jìng zi)

🧪

APIM ❤️ AI - 此仓库包含对 Azure API Management 的 AI 功能的实验，集成了 Azure OpenAI、AI Foundry 等等 🚀

Time FastMCP Server

使用了 FastMCP 来复现官方仓库的 Time Mcp Server 功能。

GH_mcp_server

这是一个 MCP 服务器，它允许 LLM 直接与 Rhino 和 Grasshopper 交互。

wof-utilization-mcp-server

一个能够了解 WOF 健身房当前使用率的 MCP 服务器

Practices MCP Server

镜子 (jìng zi)

TheQ

✔ 用于 MCP 服务器的 TypeScript + Node.js ✔ 用于回答优化问题的 LLM Studio API ✔ 动态提示优化

Getting Started with Remote MCP Servers using Azure Functions (Python)

MCP 服务器示例旅行伙伴应用，托管于 Azure 容器应用上的 Azure Functions 和 MCP 扩展。 (MCP fúwùqì shìlì lǚxíng huǒbàn yìngyòng, tuōguǎn yú Azure róngqì yìngyòng shàng de Azure Functions hé MCP kuòzhǎn.)

AI Image Generation Server with MCP Interface

这个项目提供了一个 HTTP 服务器，用于使用 Stable Diffusion 生成图像，以及一个模型上下文协议 (MCP) 服务器，该服务器使 AI 代理能够请求图像生成。

Unstructured API MCP Server for Research Paper Data Processing

非结构化数据 MCP 黑客松的 GitHub 仓库。

docs-mcp-server MCP Server

镜子 (jìng zi)