发现优秀的 MCP 服务器
通过 MCP 服务器扩展您的代理能力,拥有 25,829 个能力。
WeChat MCP Server
Enables automation of WeChat on macOS through the Accessibility API, allowing LLMs to fetch recent messages from contacts and send replies based on conversation history.
Anki MCP Server
一个模型上下文协议服务器,允许大型语言模型(LLM)与 Anki 抽认卡软件进行交互,从而实现诸如创建牌组、添加笔记、搜索卡片以及通过自然语言管理抽认卡内容等功能。
Polymarket MCP Server
Enables AI agents to interact with the Polymarket prediction market platform to discover markets, analyze real-time pricing, and monitor public portfolio data. It provides comprehensive access to market analytics, implied probabilities, and order books through the Model Context Protocol.
mcp-flux-schnell
一个基于 TypeScript 的 MCP 服务器,它使用 Cloudflare 的 Flux Schnell 模型 API 来实现文本到图像的生成。
Jira MCP Server
A Model Context Protocol server that enables AI assistants like Claude to interact with Jira Cloud instances, providing capabilities for issue management, project listing, and JQL search.
Streamable HTTP Python MCP Server Template
A starter template for building MCP servers in Python using the streamable HTTP transport protocol. Provides a foundation with the MCP Python SDK and example configuration to quickly develop custom MCP servers.
Awesome MCP Server CN
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SQLite MCP Server
A Python-based SQLite MCP server supporting database read/write operations with natural language interaction capabilities, packaged for Docker deployment in stdio mode.
CookUnity MCP
MCP server for CookUnity meal delivery service. Browse menus, manage carts, confirm orders, skip/unskip deliveries, and view order history.
Supabase MCP Server
Enables AI agents to access and manage Supabase projects through the Model Context Protocol, supporting database operations, edge functions, storage, and documentation search. It provides a complete toolset for SQL execution, migration management, and real-time project debugging.
AbletonMCP
A server that connects Ableton Live to Claude AI through the Model Context Protocol, enabling AI-assisted music production and direct control of Ableton Live features.
Remote MCP Server on Cloudflare
mcp-svd
An MCP server that provides AI coding assistants with access to official ARM CMSIS SVD hardware register definitions for microcontrollers. It enables precise querying of register names, bit positions, and addresses to prevent hallucinations during embedded systems development.
Magic MCP
A template for deploying remote Model Context Protocol servers to Cloudflare Workers with built-in OAuth authentication. It enables hosting secure, serverless MCP tools accessible via SSE transport for clients like Claude Desktop.
MCP Server for Stock Market Analysis
Getting Started with Remote MCP Servers using Azure Functions (Overview)
以下是一个着陆页的中文翻译,用于介绍在 Azure Functions 上运行远程 MCP 服务器的工作,并提供指向各种语言堆栈特定代码仓库的链接: **标题:在 Azure Functions 上运行远程 MCP 服务器** **简介:** 欢迎来到在 Azure Functions 上运行远程 MCP (Minecraft Protocol) 服务器的资源中心! Azure Functions 提供了一种经济高效且可扩展的方式来托管您的 Minecraft 服务器后端逻辑。 本项目旨在提供各种语言堆栈的示例和工具,帮助您轻松地在 Azure Functions 上部署和管理您的远程 MCP 服务器。 **优势:** * **经济高效:** 按需付费,仅在服务器运行时才产生费用。 * **可扩展性:** Azure Functions 可以根据玩家数量自动扩展,确保流畅的游戏体验。 * **易于部署:** 使用我们提供的示例和工具,您可以快速轻松地部署您的远程 MCP 服务器。 * **语言灵活性:** 我们支持多种编程语言,您可以选择最适合您的语言。 **支持的语言堆栈:** 以下是支持的语言堆栈及其对应代码仓库的链接: * **[语言名称 1]:** [代码仓库链接 1] (例如:Python: [GitHub 链接]) * **[语言名称 2]:** [代码仓库链接 2] (例如:Java: [GitHub 链接]) * **[语言名称 3]:** [代码仓库链接 3] (例如:C#: [GitHub 链接]) * **[语言名称 4]:** [代码仓库链接 4] (例如:Node.js: [GitHub 链接]) **入门指南:** 1. 选择您喜欢的语言堆栈。 2. 访问相应的代码仓库。 3. 按照仓库中的说明进行操作,设置您的 Azure Functions 项目。 4. 部署您的 Azure Functions 到 Azure。 5. 配置您的 Minecraft 客户端以连接到您的远程 MCP 服务器。 **资源:** * [Azure Functions 文档](链接到 Azure Functions 文档) * [Minecraft 协议文档](链接到 Minecraft 协议文档) * [社区论坛](链接到社区论坛) **贡献:** 我们欢迎您的贡献! 如果您想添加对其他语言堆栈的支持,改进现有示例,或修复错误,请提交 Pull Request。 **联系方式:** 如果您有任何问题或建议,请通过 [联系方式] 与我们联系。 **英文原文参考:** **Title: Running Remote MCP Server on Azure Functions** **Introduction:** Welcome to the resource hub for running a remote MCP (Minecraft Protocol) server on Azure Functions! Azure Functions provide a cost-effective and scalable way to host your Minecraft server backend logic. This project aims to provide examples and tools for various language stacks to help you easily deploy and manage your remote MCP server on Azure Functions. **Benefits:** * **Cost-Effective:** Pay-as-you-go pricing, only incurring costs when the server is running. * **Scalable:** Azure Functions can automatically scale based on player count, ensuring a smooth gaming experience. * **Easy Deployment:** With our provided examples and tools, you can quickly and easily deploy your remote MCP server. * **Language Flexibility:** We support multiple programming languages, allowing you to choose the one that best suits your needs. **Supported Language Stacks:** Below are the supported language stacks and links to their respective repositories: * **[Language Name 1]:** [Repository Link 1] (e.g., Python: [GitHub Link]) * **[Language Name 2]:** [Repository Link 2] (e.g., Java: [GitHub Link]) * **[Language Name 3]:** [Repository Link 3] (e.g., C#: [GitHub Link]) * **[Language Name 4]:** [Repository Link 4] (e.g., Node.js: [GitHub Link]) **Getting Started:** 1. Choose your preferred language stack. 2. Visit the corresponding repository. 3. Follow the instructions in the repository to set up your Azure Functions project. 4. Deploy your Azure Functions to Azure. 5. Configure your Minecraft client to connect to your remote MCP server. **Resources:** * [Azure Functions Documentation](Link to Azure Functions Documentation) * [Minecraft Protocol Documentation](Link to Minecraft Protocol Documentation) * [Community Forum](Link to Community Forum) **Contributing:** We welcome your contributions! If you would like to add support for other language stacks, improve existing examples, or fix bugs, please submit a Pull Request. **Contact:** If you have any questions or suggestions, please contact us at [Contact Information].
tabular-mcp
tabular-mcp
Weather MCP Server
A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.
Polybar Notification MCP
A Model Context Protocol server that allows displaying messages via polybar status bar and sending desktop notifications via notify-send/dunst.
Khan Academy MCP Server
Enables AI assistants to search, browse, and read Khan Academy's educational content, including courses, articles, and video transcripts. It provides tools to navigate the subject hierarchy and retrieve detailed metadata without requiring an API key.
Claude Context
Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.
Ableton Live MCP
Enables AI agents to control and inspect Ableton Live by executing Python code directly against the Live Object Model. It allows for automated track management, MIDI note creation, and real-time session manipulation through a natural language interface.
LlamaCloud MCP Server
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MCP CopyQ Server
Integrates CopyQ clipboard manager with LLM agents, enabling reading, writing, searching, and managing clipboard items organized in tabs with tags and notes through a unified interface.
tech-collector-mcp
Aggregates technical articles from multiple sources (Qiita, Dev.to, NewsAPI, Hacker News), summarizes them using Gemini API, and syncs them to Notion databases with personalized recommendations based on reading history and tags.
LiteMCP
一个用于优雅地构建 MCP 服务器的 TypeScript 框架
Jira MCP Server
一个模型上下文协议(Model Context Protocol)服务器,提供与 Jira 的集成,允许大型语言模型通过自然语言与 Jira 项目、看板、迭代和问题进行交互。
decoupler-MCP
Provides a natural language interface for single-cell RNA-Seq analysis using the decoupleR framework. It enables users to perform biological pathway inference, data clustering, and visualization through MCP-compatible AI clients.
OpenAPI to MCP Server
一个工具/库,可以将 OpenAPI 文档自动转换为 Higress 远程 MCP 服务器配置。 Or, a slightly more formal translation: 一个工具或库,能够自动将 OpenAPI 文档转换为 Higress 远程 MCP 服务器配置。
MCP-Claude
TypeScript implementation of the Model Context Protocol that standardizes how LLMs connect to data sources and tools, eliminating vendor lock-in and simplifying AI integration.