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Getting Started with Create React App

Getting Started with Create React App

这是一个用于测试 MCP 服务器的仓库。

Social Media MCP Server

Social Media MCP Server

连接多个社交媒体平台(Twitter/X、Mastodon、LinkedIn),允许用户通过自然语言指令跨平台创建和发布内容。

Windows Command Line MCP Server

Windows Command Line MCP Server

一个安全的模型上下文协议服务器,允许人工智能模型安全地与 Windows 命令行功能交互,从而实现对系统命令的受控执行、项目创建和系统信息检索。

MCP Server Box

MCP Server Box

一个 Python 服务器,通过 Box API 实现与 Box 文件和文件夹的交互,允许诸如文件搜索、文本提取以及基于 AI 的查询和数据提取等操作。

PowerPlatform MCP

PowerPlatform MCP

一个模型上下文协议 (MCP) 服务器,它提供对 PowerPlatform/Dataverse 实体和记录的智能访问。该工具提供上下文感知辅助、实体探索和元数据访问。

OPC UA MCP Server

OPC UA MCP Server

一个连接到支持 OPC UA 的工业自动化系统的 MCP 服务器。

fewsats-mcp: A Fewsats MCP Server

fewsats-mcp: A Fewsats MCP Server

一个与 Fewsats 集成的 MCP 服务器,允许 AI 代理安全地购买任何东西,通过检索余额、访问支付方式和处理支付来实现。

Model Context Provider (MCP) for Penetration Testing

Model Context Provider (MCP) for Penetration Testing

用于渗透测试的 MCP 服务器。 欢迎贡献者!

ConnectWise API Gateway MCP Server

ConnectWise API Gateway MCP Server

一个模型上下文协议服务器,它为与 ConnectWise Manage API 交互提供了一个全面的接口,从而简化了开发者和 AI 助手对 API 的发现、执行和管理。

Hubspot

Hubspot

CosmosDB MCP Server

CosmosDB MCP Server

用于 CosmosDB 的模型上下文协议服务器实现

privateGPT MCP Server

privateGPT MCP Server

镜子 (jìng zi)

MCP Server 项目

MCP Server 项目

MCP 服务器 (MCP fúwùqì)

MCP Translation Server

MCP Translation Server

高性能满汉翻译服务器,实现模型上下文协议 (MCP)

ArXiv MCP Server

ArXiv MCP Server

镜子 (jìng zi)

Coin Flip MCP Server

Coin Flip MCP Server

启用与一个工具的交互,该工具通过 random.org 的 API 生成真正的随机硬币翻转,支持多种自定义侧面配置,并演示模型上下文协议。

Elasticsearch MCP Server

Elasticsearch MCP Server

将 Claude 和其他 MCP 客户端连接到 Elasticsearch 数据,允许用户通过自然语言对话与他们的 Elasticsearch 索引进行交互。

Remote MCP Server on Cloudflare

Remote MCP Server on Cloudflare

6digit studio MCP integration

6digit studio MCP integration

通用型 6 位数工作室 MCP 服务器

WORK IN PROGRESS - USE WITH CAUTION - Windows:

WORK IN PROGRESS - USE WITH CAUTION - Windows:

Okay, here's the translation of the English text into Chinese, focusing on clarity and common usage in a technical context: **使用 PyPDF2 的 mcp 来实现:** * **合并 PDF 文件 (merge-pdfs)** * **提取页面 (extract-pages)** * **搜索 PDF 文件 (search-pdfs)** * **按指定顺序合并 PDF 文件 (merge-pdfs-ordered)** (This emphasizes the user-specified order) * **查找相关 PDF 文件 (find-related-pdfs)** (使用正则表达式从文本中提取信息来查找相关 PDF 文件) (This adds context about using regex) **Explanation of Choices:** * **mcp:** I've left "mcp" as is, assuming it's a specific tool or project name. If it's an acronym, you might want to spell it out in Chinese if you know the full name. * **合并 (hébìng):** The most common and direct translation for "merge." * **提取 (tíqǔ):** The standard translation for "extract." * **搜索 (sōusuǒ):** The standard translation for "search." * **页面 (yèmiàn):** The standard translation for "page." * **文件 (wénjiàn):** The standard translation for "file." * **按指定顺序 (àn zhǐdìng shùnxù):** This translates to "according to specified order" and is clearer than a more literal translation. * **查找相关 (cházhǎo xiāngguān):** This translates to "find related." * **正则表达式 (zhèngzé biǎodáshì):** The standard translation for "regular expression." * **从文本中提取信息 (cóng wénběn zhōng tíqǔ xìnxī):** This translates to "extract information from text." The added context in the last bullet point clarifies the method used for finding related PDFs. This makes the translation more informative.

n8n Workflow Builder MCP Server

n8n Workflow Builder MCP Server

为 Claude / Cursor 构建 n8n 工作流的 MCP 服务器

AzureDevOpsMCP

AzureDevOpsMCP

一个概念验证的 MCP 服务器,可以查询 Azure DevOps。 (Yī gè gàiniàn yànzhèng de MCP fúwùqì, kěyǐ cháxún Azure DevOps.)

QASE MCP Server

QASE MCP Server

一个基于 TypeScript 的 MCP 服务器,提供与 Qase 测试管理平台的集成,允许您管理项目、测试用例、运行、结果、计划、套件和共享步骤。

Smithery.ai Integration for Unity AI MCP Server

Smithery.ai Integration for Unity AI MCP Server

Here's a translation of "A clean implementation of Smithery.ai integration for Unity AI MCP Server" into Chinese, along with a few options depending on the nuance you want to convey: **Option 1 (Most Literal and General):** * **中文:** 一个干净的 Smithery.ai 集成,用于 Unity AI MCP 服务器。 * **Pinyin:** Yī gè gānjìng de Smithery.ai jíchéng, yòng yú Unity AI MCP fúwùqì. * **Explanation:** This is a straightforward translation. "干净的 (gānjìng de)" means "clean" in the sense of being well-organized and free of unnecessary complexity. "集成 (jíchéng)" means "integration." **Option 2 (Emphasizing Efficiency and Elegance):** * **中文:** 一个简洁高效的 Smithery.ai 集成,适用于 Unity AI MCP 服务器。 * **Pinyin:** Yī gè jiǎnjié gāoxiào de Smithery.ai jíchéng, shìyòng yú Unity AI MCP fúwùqì. * **Explanation:** This option uses "简洁高效 (jiǎnjié gāoxiào)" which means "concise and efficient." This implies not only cleanliness but also good performance. "适用于 (shìyòng yú)" means "suitable for" or "applicable to." **Option 3 (Focusing on Well-Structured Code):** * **中文:** 一个结构清晰的 Smithery.ai 集成,用于 Unity AI MCP 服务器。 * **Pinyin:** Yī gè jiégòu qīngxī de Smithery.ai jíchéng, yòng yú Unity AI MCP fúwùqì. * **Explanation:** This option uses "结构清晰 (jiégòu qīngxī)" which means "clearly structured." This emphasizes the code's organization and readability. **Option 4 (More Technical, Emphasizing Best Practices):** * **中文:** 一个符合最佳实践的 Smithery.ai 集成,用于 Unity AI MCP 服务器。 * **Pinyin:** Yī gè fúhé zuìjiā shíjiàn de Smithery.ai jíchéng, yòng yú Unity AI MCP fúwùqì. * **Explanation:** This option uses "符合最佳实践 (fúhé zuìjiā shíjiàn)" which means "conforms to best practices." This is a more technical term often used in software development. **Which option is best depends on the context:** * If you want a general and easily understood translation, **Option 1** is a good choice. * If you want to emphasize the performance and efficiency of the integration, **Option 2** is better. * If you want to highlight the code's organization and readability, **Option 3** is preferable. * If you're targeting a technical audience and want to emphasize adherence to coding standards, **Option 4** is the most appropriate. Therefore, I recommend **Option 1** as the default, unless you have a specific reason to choose one of the others.

Blowback

Blowback

将 Cursor AI 与 Vite Dev 服务器集成,允许 AI 代理修改代码,并通过热模块替换系统实时观察更新。

Jira MCP Server

Jira MCP Server

镜子 (jìng zi)

Mcp_tool_chainer

Mcp_tool_chainer

一个 MCP (模型上下文协议) 服务器,可以将调用链接到其他 MCP 工具,通过允许顺序工具执行和结果传递来减少 token 使用量。 Or, a slightly more formal translation: 一个 MCP (模型上下文协议) 服务器,它将对其他 MCP 工具的调用进行链式连接,通过允许顺序执行工具并传递结果来降低 token 使用量。

MCP Google Calendar

MCP Google Calendar

一个用于 Google 日历集成的模型上下文协议 (MCP) 服务器,可与 Claude 和其他 AI 助手一起使用。

🚀 Fetcher MCP - Playwright Headless Browser Server

🚀 Fetcher MCP - Playwright Headless Browser Server

一个服务器,它允许使用 Playwright 无头浏览器获取网页内容,并具备 AI 驱动的功能,以实现高效的信息提取。

MCP Server Manager

MCP Server Manager

镜子 (jìng zi)