发现优秀的 MCP 服务器

shopify-mcp

Okay, here's a translation of "for Shopify API interaction including product, customer, order" into Chinese, along with some nuances and options depending on the specific context: **Option 1 (Most General):** * **中文:** 用于 Shopify API 交互，包括产品、客户和订单。 * **Pinyin:** Yòng yú Shopify API jiāohù, bāokuò chǎnpǐn, kèhù hé dìngdān. * **Explanation:** This is a straightforward and common translation. It's suitable for general documentation or explanations. **Option 2 (More Emphasis on "Handling" or "Working With"):** * **中文:** 用于 Shopify API 交互，处理产品、客户和订单。 * **Pinyin:** Yòng yú Shopify API jiāohù, chǔlǐ chǎnpǐn, kèhù hé dìngdān. * **Explanation:** The word "处理 (chǔlǐ)" means "to handle," "to process," or "to deal with." This option is better if you want to emphasize the actions you're taking with the data. **Option 3 (More Technical, Emphasizing Data Manipulation):** * **中文:** 用于 Shopify API 交互，涉及产品、客户和订单的数据操作。 * **Pinyin:** Yòng yú Shopify API jiāohù, shèjí chǎnpǐn, kèhù hé dìngdān de shùjù cāozuò. * **Explanation:** This is a more technical translation. "涉及 (shèjí)" means "involving" or "relating to," and "数据操作 (shùjù cāozuò)" means "data manipulation." This is suitable for technical documentation or code comments. **Option 4 (More Specific to Development):** * **中文:** 用于 Shopify API 交互，开发产品、客户和订单相关功能。 * **Pinyin:** Yòng yú Shopify API jiāohù, kāifā chǎnpǐn, kèhù hé dìngdān xiāngguān gōngnéng. * **Explanation:** This option is suitable if you are talking about developing features related to product, customer and order. "开发 (kāifā)" means "to develop", and "相关功能 (xiāngguān gōngnéng)" means "related features". **Key Vocabulary:** * **Shopify API:** Shopify API (No translation needed, commonly used as is) * **交互 (jiāohù):** Interaction * **产品 (chǎnpǐn):** Product * **客户 (kèhù):** Customer * **订单 (dìngdān):** Order * **用于 (yòng yú):** Used for * **包括 (bāokuò):** Including * **处理 (chǔlǐ):** To handle, to process, to deal with * **涉及 (shèjí):** Involving, relating to * **数据操作 (shùjù cāozuò):** Data manipulation * **开发 (kāifā):** To develop * **相关功能 (xiāngguān gōngnéng):** Related features **Which option is best?** The best option depends on the context. If you're writing general documentation, Option 1 is a good choice. If you're describing the actions you're taking, Option 2 is better. If you're writing technical documentation, Option 3 might be more appropriate. If you are talking about development, Option 4 is a good choice. I hope this helps! Let me know if you have any other questions.

Simple MCP Demo

A Python-based demonstration server showcasing multiple Model Context Protocol transport mechanisms, including stdio, SSE, and HTTP. It provides a functional reference for tool discovery and execution using a sample number addition tool.

MCP Server Demo

A getting started guide and template for creating Python-based MCP servers using uv for project management. Provides setup instructions for developing and testing MCP tools that can integrate with Claude Desktop.

Google Calendar MCP Server

Google 日历集成的 MCP 服务器

PokeAPI MCP Server

A Model Context Protocol server that interfaces with PokeAPI to provide Pokémon information to LLM applications through JSON-RPC over stdio.

ClinicalTrials.gov MCP Server

Enables searching and retrieving information from the ClinicalTrials.gov database of over 400,000 clinical studies, including trial details, eligibility criteria, locations, and results across 220+ countries.

WeChat Publisher MCP

A Model Context Protocol server that enables AI tools to automatically publish articles to WeChat Official Accounts, supporting Markdown-to-HTML conversion, image handling, and both preview and official publishing modes.

Chunky MCP

An MCP server that manages chunking and reading of large responses, allowing tools to handle oversized data that would otherwise fail.

Muninn

A local-first persistent memory server that provides AI agents with deterministic, multimodal information retrieval across different sessions and projects. It enables long-term memory continuity using a 5-signal hybrid search engine and cognitive reasoning loops designed for complex development workflows.

hyprland-mcp

An MCP server for Hyprland desktop automation that allows AI assistants to see the screen, control mouse and keyboard, and manage windows using native Wayland tools. It integrates OCR for text-based interaction and supports complex multi-monitor setups with pixel-accurate coordinate mapping.

JSON Editor MCP

Enables efficient JSON file editing with targeted read, write, delete, and deep merge operations using dot notation paths, optimized for managing multilingual projects and large configuration files.

Perplexity MCP Server

一个自定义的模型上下文协议实现，将 Perplexity AI 与 Claude Desktop 集成，允许用户访问 Perplexity 的 AI 模型，用于单次提问和多轮对话。

The Graph Token API MCP

Official MCP server that turns The Graph’s Token API into a plug-and-play web3 data tool. Exposes ERC-20 & NFT metadata, balances, transfers, top-holder stats, prices, and more, allowing LLMs to run SQL queries on structured and indexed blockchain data.

Netmiko MCP Server

Enables interaction with Cisco network devices through SSH using Netmiko. Supports retrieving device status, interface details, configurations, and resource monitoring through natural language commands in Claude Desktop.

MCP-QA

An MCP server for the comprehensive analysis of Swagger 2.0 and OpenAPI 3.x contracts. It allows users to extract detailed information about endpoints, request/response schemas, parameters, and security configurations from API documentation.

AI-Powered Server-Client Computer Use SDK

关于在服务器和客户端上使用人工智能软件开发工具包 (SDK) 的计算机系统信息文件。

Patent Big Data MCP Server

Enables comprehensive patent information queries and analytics including fuzzy company search, patent search by various criteria (name, application number, applicant), and statistical analysis of patent portfolios including status distribution, application trends, and patent type classification.

NanoKVM MCP Server

Enables AI assistants to remotely control Sipeed NanoKVM hardware for BIOS-level management of servers and headless machines. It provides tools for power control, keyboard and mouse emulation, screen capture, and ISO image mounting via the Model Context Protocol.

Frame0 MCP Server

Allows creating and modifying wireframes in Frame0 (a Balsamiq-alternative wireframe tool) by using natural language prompts, supporting operations like creating screens, editing elements, and managing pages.

Grok CLI MCP Server

Provides seamless access to Grok AI models through the Model Context Protocol by wrapping the official Grok CLI, offering tools for general queries, multi-turn conversations, and code generation.

Financial AI Agent System

A Node.js-based AI agent system using Model Context Protocol (MCP) that provides financial analysis and portfolio management services through LangChain and Ollama-powered local AI models.

MCP Config

用于管理 MCP 服务器配置的 CLI 工具

Master Control Program (MCP) Backend

Provides API endpoints for a hotel management frontend and integrates with SmartThings API to control devices based on user preferences and room assignments.

MCP Server

一个现代化的 AI 服务代理，它可以通过统一的 API 与多个 AI 提供商（Anthropic Claude、OpenAI）进行交互，并使用 Cloudflare Workers 在全球范围内进行部署。

GitHub MCP Server

一个模型上下文协议服务器，使 LLM 代理能够通过标准化的接口管理 GitHub 仓库、议题、拉取请求、分支、文件和发布。

Browserbase MCP Server

Enables cloud browser automation through Browserbase and Stagehand, allowing LLMs to interact with web pages, take screenshots, extract data, and perform automated actions with support for proxies, stealth mode, and parallel sessions.

A2A Client MCP Server

一个 MCP 服务器，它使 LLM 能够与兼容 Agent-to-Agent (A2A) 协议的代理进行交互，从而允许发送消息、跟踪任务和接收流式响应。

MCP Alchemy

将 Claude Desktop 直接连接到数据库，使其能够通过 API 层探索数据库结构、编写 SQL 查询、分析数据集以及创建报告，该 API 层提供表探索和查询执行工具。

S3 MCP Server

⚙️ 用于访问 Amazon S3 存储桶的模型上下文协议 (MCP) 服务器。此服务器通过 MCP 提供与 S3 存储的无缝集成，从而能够通过流式传输功能高效处理包括 PDF 在内的大型文件。