发现优秀的 MCP 服务器

weather-mcp-server

mcp server for weather information query

Raindrop MCP Server

一个 MCP 服务器，允许 Claude Desktop 通过自然语言命令访问和管理 Raindrop.io 书签，支持对集合、书签和标签的操作。 (Alternatively, a slightly more literal translation:) 一个 MCP 服务器，它允许 Claude Desktop 通过自然语言命令来访问和管理 Raindrop.io 书签，并支持对集合、书签和标签的操作。

Chain of Thought MCP Server

一个 MCP 服务器，它使用 Groq 的 API 来暴露 Qwen 的 qwq 模型产生的原始思维链 (chain-of-thought) token，从而使 LLM 在响应之前能够进行逐步思考。

Microsoft Todo MCP Service

一个用于 Claude 的模型上下文协议服务，它支持与 Microsoft Todo 任务进行自然语言交互，包括查看任务列表、创建任务和管理清单项目。

Unity MCP Server

A bridge enabling seamless communication between Unity and Large Language Models via the Model Context Protocol, allowing developers to automate workflows, manipulate assets, and control the Unity Editor programmatically.

Supabase MCP Server

Enables AI assistants to interact with Supabase databases through standardized CRUD operations including querying, inserting, updating, and deleting records with support for filtering, pagination, and column selection.

API

一系列旨在构建 MCP 服务器以完成个人任务的 Swift 项目

MySQL MCP Server

启用与 MySQL 数据库的安全交互，允许 AI 助手通过受控界面列出表、读取数据和执行 SQL 查询。

md-pdf-mcp

使用 VS Code 的 Markdown 样式和 Python 的 ReportLab 将 Markdown 转换为带样式的 PDF，并带有一个简单的笔记存储系统。

Query Table MCP Server

Enables querying financial data tables from Chinese financial websites (Tonghuashun, Tongdaxin, East Money) and AI chat services using Playwright-based web scraping, returning structured data in various formats.

System Resource Monitor MCP Server

为 Claude 提供实时系统监控功能，包括 CPU、内存、磁盘、网络、电池和网速指标。

Emergency Medicare Planner MCP Server

与谷歌地图集成，可在紧急情况下定位和评估医疗机构，根据用户的医疗需求、紧急程度和机构能力，帮助用户找到合适的医院和诊所。

MCP Server Boilerplate

A starter template for building MCP servers with TypeScript support, example tools, and automated installation scripts for Claude Desktop, Cursor, and other MCP-compatible AI assistants. Provides a foundation for creating custom tools, resource providers, and prompt templates.

Gmail MCP Server

Enables comprehensive Gmail management with 17 tools for searching, sending, and organizing emails, managing labels, threads, drafts, and attachments through the Gmail API.

DeepSeek MCP Server

一个服务器，通过集成 DeepSeek R1 的高级推理引擎来增强 Claude 的推理能力，从而解决复杂的推理任务。

GoThreatScope

Go-based SBOM, vulnerability, and secret scanner with MCP support.

MySQL MCP Server

一个模型上下文协议服务器，提供对 MySQL 数据库的只读访问，使大型语言模型 (LLM) 能够检查数据库模式并执行只读查询。

Tableau MCP Server

Connects Claude Desktop to Tableau Server for natural language interactions with Tableau data, enabling data extraction, dashboard exports, and comprehensive administrative capabilities including user management, permission auditing, and usage analytics.

Ogury MCP Server

An MCP server that gives Claude access to Ogury's campaign reporting API, enabling retrieval of campaign performance metrics and reports through natural language queries.

SAP Business One MCP Server by CData

SAP Business One MCP Server by CData

Confluence MCP Server

一个模型上下文协议服务器，用于使用个人访问令牌访问 Confluence API，使用户能够检索空间列表、查看页面、创建新页面和更新现有内容。

Lightning Enable MCP

MCP server that enables AI agents to make autonomous Bitcoin Lightning Network payments using the L402 protocol. Agents can pay for API access, purchase resources, and complete transactions without human intervention — invoice comes in, sats go out, done.

OmniFocus MCP Plus

A comprehensive MCP server for OmniFocus 4 on macOS featuring 34 tools for task management, project organization, and advanced filtering. It enables full CRUD operations for tasks, projects, folders, and tags while supporting custom perspectives and complex repetition rules.

MCP Server For Local

一个可定制的模型上下文协议服务器实现，使人工智能模型能够与外部工具交互，包括天气查询、谷歌搜索和摄像头控制功能。

MCP Ripgrep Server

为 MCP 客户端（如 Claude）提供 ripgrep 搜索功能，从而可以在您的系统上的文件中进行高性能的文本搜索。

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.