Discover Awesome MCP Servers

Extend your agent with 16,348 capabilities via MCP servers.

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VOICEVOX MCP Server

VOICEVOX MCP Server

A Model Context Protocol server that integrates with VOICEVOX engine to provide text-to-speech synthesis and speaker information retrieval, allowing users to generate and play voice audio from text.

medRxiv MCP Server

medRxiv MCP Server

镜子 (jìng zi)

Learning Hour MCP

Learning Hour MCP

An MCP server that generates comprehensive Learning Hour content for Technical Coaches, enabling teams to practice technical excellence through structured deliberate practice sessions.

HubSpot

HubSpot

通过标准化界面,使人工智能模型能够与 HubSpot CRM 数据和操作进行交互,支持联系人和公司管理。

MCP MySQL Server

MCP MySQL Server

Enables interaction with MySQL databases through MCP, supporting query execution, table operations (insert, update, delete), and schema inspection for natural language database management.

Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

一个模型上下文协议服务器,它结合了 DeepSeek R1 的推理能力和 Claude 3.5 Sonnet 的响应生成能力,从而实现两阶段 AI 处理:DeepSeek 的结构化推理增强 Claude 的最终输出。

Awesome MCP Servers

Awesome MCP Servers

一个精选的 Model Context Protocol (MCP) 服务器和工具列表。 探索并发现各种 MCP 实现,这些实现使 AI 模型能够连接到外部数据源和工具。

🛡️ BurpSuite MCP Server

🛡️ BurpSuite MCP Server

镜子 (jìng zi)

RealVest Real Estate MCP Server

RealVest Real Estate MCP Server

The RealVest MCP (Model Context Protocol) server enables AI assistants like Claude to use all 31 of our professional calculators and access our educational resources directly in your conversations. From basic affordability to advanced portfolio analysis, Monte Carlo simulations, and tax optimization

WordPress MCP

WordPress MCP

Enables AI models to interact with WordPress sites through standardized MCP interfaces, supporting content management, post operations, and site configuration with secure JWT authentication and dual transport protocols.

openwrt-mcp-server

openwrt-mcp-server

Rag chatbot with a localhost MCP server

Rag chatbot with a localhost MCP server

Okay, here's a translation of "Building an Rag-based HR chatbot for providing rules in workplace with MCP server" into Chinese, along with some considerations for clarity and nuance: **Option 1 (More Literal):** * **中文:** 构建一个基于RAG的HR聊天机器人,用于提供工作场所规则,使用MCP服务器。 * **Pinyin:** Gòujiàn yī gè jīyú RAG de HR liáotiān jīqìrén, yòngyú tígōng gōngzuò chǎngsuǒ guīzé, shǐyòng MCP fúwùqì. **Option 2 (Slightly More Natural, Emphasizing Purpose):** * **中文:** 创建一个基于RAG的HR聊天机器人,旨在利用MCP服务器提供工作场所的规章制度。 * **Pinyin:** Chuàngjiàn yī gè jīyú RAG de HR liáotiān jīqìrén, zhǐzài lìyòng MCP fúwùqì tígōng gōngzuò chǎngsuǒ de guīzhāng zhìdù. **Option 3 (More Detailed, Specifying "Retrieval-Augmented Generation"):** * **中文:** 开发一个基于检索增强生成 (RAG) 技术的HR聊天机器人,它将使用MCP服务器来提供公司内部的工作场所规章制度。 * **Pinyin:** Kāifā yī gè jīyú jiǎnsuǒ zēngqiáng shēngchéng (RAG) jìshù de HR liáotiān jīqìrén, tā jiāng shǐyòng MCP fúwùqì lái tígōng gōngsī nèibù de gōngzuò chǎngsuǒ guīzhāng zhìdù. **Explanation of Choices and Considerations:** * **RAG:** Keeping "RAG" as is is common in technical contexts, especially if the audience is familiar with the term. Option 3 explains it in full as "检索增强生成 (jiǎnsuǒ zēngqiáng shēngchéng)," which translates to "Retrieval-Augmented Generation." * **HR Chatbot:** "HR 聊天机器人 (HR liáotiān jīqìrén)" is a direct and understandable translation. * **Workplace Rules:** "工作场所规则 (gōngzuò chǎngsuǒ guīzé)" is a general term. "规章制度 (guīzhāng zhìdù)" is a more formal term for rules and regulations. "公司内部的工作场所规章制度 (gōngsī nèibù de gōngzuò chǎngsuǒ guīzhāng zhìdù)" is the most specific, meaning "internal company workplace rules and regulations." * **MCP Server:** Assuming "MCP" is an acronym that's not commonly translated, it's best to leave it as is. If it *is* an acronym that has a standard Chinese translation within your company or industry, use that translation instead. * **"Building" vs. "Creating" vs. "Developing":** "构建 (gòujiàn)," "创建 (chuàngjiàn)," and "开发 (kāifā)" are all reasonable translations of "building." "构建" is more like "constructing," "创建" is more like "creating," and "开发" is more like "developing." The best choice depends on the specific context. * **"For providing" vs. "Aimed at providing":** The phrases "用于提供 (yòngyú tígōng)" and "旨在利用...提供 (zhǐzài lìyòng...tígōng)" both work. The second option emphasizes the *purpose* of the chatbot. * **Clarity:** Option 3 is the most explicit, which is helpful if you need to be very clear about what you're doing. **Recommendation:** The best option depends on your audience and the level of detail required. * For a general audience familiar with technical terms: **Option 1** is a good starting point. * For a slightly more formal or detailed description: **Option 2** is a good choice. * For a technical audience or when you need to be very precise: **Option 3** is the most comprehensive. Remember to consider the specific context and your target audience when making your final decision. If you can provide more context about the project and the intended audience, I can refine the translation further.

Shell Command MCP Server

Shell Command MCP Server

允许通过 Claude 的 MCP 接口在安全的 Docker 容器内执行 shell 命令,提供 Kubernetes 工具和隔离环境,而无需访问宿主机的 Docker 守护进程。

Code Review MCP Tool for Cursor

Code Review MCP Tool for Cursor

OpenWeatherMap MCP Server

OpenWeatherMap MCP Server

A Model Context Protocol server that provides comprehensive weather data and forecasts through the OpenWeatherMap API, enabling AI assistants to access real-time weather information, forecasts, air quality data, and location services.

ai-test-gen-poc

ai-test-gen-poc

An AI-powered test script generator that uses Playwright MCP Server to generate test scripts in TypeScript using BDD-style prompts

Jumpseller API MCP Server

Jumpseller API MCP Server

An MCP Server that provides access to the Jumpseller e-commerce platform API, allowing users to interact with Jumpseller's functionality through natural language commands.

LiveKit RAG Assistant

LiveKit RAG Assistant

Enables AI-powered semantic search and question-answering for LiveKit documentation using Pinecone vector search and real-time web search with Tavily, providing detailed responses with source attribution.

QI140 MCP Multi

QI140 MCP Multi

A multi-purpose MCP server for AI-powered healthcare assistance that processes clinical data through configurable LLM providers. Maintains webhook endpoints for patient data processing with PostgreSQL logging and OpenAPI documentation.

Nowledge Mem

Nowledge Mem

Enables Claude to add and search personal memories through the Nowledge Mem service. Allows users to store and retrieve contextual information across conversations.

Ollama Pydantic Project

Ollama Pydantic Project

创建了一个示例项目,用于使用本地 Ollama 模型和 MCP 服务器集成来实现 Pydantic 代理。

Torna MCP Server

Torna MCP Server

Enables interaction with Torna API documentation management platform, allowing users to manage API documents, dictionaries, and modules through natural language commands.

MCP ContentEngineering

MCP ContentEngineering

Enables direct access to raw Markdown content from files or directories without processing. Perfect for providing AI models with business rules, documentation, or knowledge bases exactly as written.

arXiv MCP Server

arXiv MCP Server

A Model Context Protocol server that enables natural language interaction with arXiv.org, allowing users to search, retrieve metadata, download PDFs, and load scholarly articles into LLM context.

CCXT MCP Server

CCXT MCP Server

用于加密货币交易所集成的高性能 CCXT MCP 服务器

Neon MCP Server

Neon MCP Server

允许您使用 Claude Desktop 或任何 MCP 客户端,通过自然语言来完成与 Neon 相关的任务。

Remote MCP Server on Cloudflare

Remote MCP Server on Cloudflare

Hacker News

Hacker News

一个模型上下文协议(MCP)服务器,它提供从 Hacker News 搜索和获取信息的工具。

Android Project MCP Server

Android Project MCP Server

一个模型上下文协议(Model Context Protocol)服务器,它使得可以直接在 Visual Studio Code 中构建 Android 项目并运行测试,通过诸如 Cline 或 Roo Code 等扩展实现。

MCP TypeScript SDK

MCP TypeScript SDK