Discover Awesome MCP Servers

cognee-mcp

用于人工智能应用和代理的内存管理器，它使用各种图和向量存储，并允许从 30 多种数据源摄取数据。

National Parks MCP Server

Provides access to the National Park Service API to search for U.S. national parks, view park details, check alerts and closures, find visitor centers, campgrounds, and upcoming events.

Polygon MCP Server

A Model Context Protocol server that enables users to interact with Polygon.io API for retrieving financial market data including ticker details, quotes, aggregates, market status and news.

MCP Atlassian

MCP 服务器处理 Jira 集成。

mcp-server-example

好的，这是一个简单的 MCP 服务器示例，希望能帮助你更好地理解： **英文 (English):** "Let's say you have a Minecraft server with a custom mod that adds a new type of ore called 'Magma Ore'. This ore only spawns in the Nether and can be smelted into 'Magma Ingots'. You want to use MCP to decompile the Minecraft server code and understand how the ore generation works, and how the smelting recipe is registered. Using MCP, you would: 1. **Decompile the Minecraft server jar:** This will give you the source code of the Minecraft server. 2. **Search for relevant code:** You would search for code related to ore generation, specifically in the Nether dimension. You might look for classes related to world generation, block registration, or dimension loading. 3. **Analyze the code:** You would then analyze the code to understand how the 'Magma Ore' is added to the world generation process. You would look for how the ore is registered as a block, how its spawn conditions are defined, and how it's added to the Nether's chunk generation. 4. **Search for smelting recipes:** You would also search for code related to smelting recipes. You might look for classes related to recipe registration or furnace logic. 5. **Analyze the smelting recipe:** You would analyze the code to understand how the 'Magma Ore' is registered to be smelted into 'Magma Ingots'. You would look for how the recipe is defined and how it's added to the furnace's recipe list. By using MCP to decompile and analyze the Minecraft server code, you can gain a deeper understanding of how the game works and how custom mods interact with the game's core mechanics." **中文 (Chinese):** “假设你有一个 Minecraft 服务器，其中包含一个自定义模组，该模组添加了一种名为“岩浆矿石 (Magma Ore)”的新型矿石。这种矿石只会在下界 (Nether) 中生成，并且可以冶炼成“岩浆锭 (Magma Ingots)”。 你想使用 MCP 来反编译 Minecraft 服务器代码，并了解矿石生成的工作原理以及冶炼配方是如何注册的。 使用 MCP，你可以： 1. **反编译 Minecraft 服务器 jar 文件：** 这将为你提供 Minecraft 服务器的源代码。 2. **搜索相关代码：** 你将搜索与矿石生成相关的代码，特别是在下界维度中。 你可能会查找与世界生成、方块注册或维度加载相关的类。 3. **分析代码：** 然后，你将分析代码以了解“岩浆矿石”是如何添加到世界生成过程中的。 你将查找矿石如何注册为方块，如何定义其生成条件，以及如何将其添加到下界的区块生成中。 4. **搜索冶炼配方：** 你还将搜索与冶炼配方相关的代码。 你可能会查找与配方注册或熔炉逻辑相关的类。 5. **分析冶炼配方：** 你将分析代码以了解“岩浆矿石”是如何注册为冶炼成“岩浆锭”的。 你将查找配方是如何定义的，以及如何将其添加到熔炉的配方列表中。 通过使用 MCP 反编译和分析 Minecraft 服务器代码，你可以更深入地了解游戏的工作原理以及自定义模组如何与游戏的核心机制交互。” **解释 (Explanation):** This example illustrates how MCP can be used to understand the inner workings of a Minecraft server, especially when dealing with custom mods. It highlights the key steps involved: decompiling the code, searching for relevant sections, and then analyzing those sections to understand how specific features are implemented. The example focuses on ore generation and smelting recipes, but the same principles can be applied to understanding other aspects of the game.

axone-mcp

🤖 Axone 的 MCP 服务器 – AI 驱动工具的数据宇宙的门户

Dynamics 365 MCP Server

一个模型上下文协议服务器，它支持从 Claude Desktop 与 Microsoft Dynamics 365 CRM 进行交互，允许用户通过自然语言检索、创建和更新 CRM 数据。

Amazon CloudWatch Logs MCP Server

一个模型上下文协议 (MCP) 服务器，它使 AI 助手能够通过使用 AWS SDK 的标准化接口与 Amazon CloudWatch Logs 交互。

didlogic_mcp

一个用于 Didlogic API 的模型上下文协议 (MCP) 服务器实现。该服务器允许大型语言模型 (LLM) 通过标准化的接口与 Didlogic 服务进行交互。

MCP LLMS-TXT Documentation Server

一个开源的 MCP 服务器，为 Cursor、Windsurf 和 Claude 等应用程序提供访问 llms.txt 文档文件的能力，允许用户控制和审计上下文检索。

Better Writer MCP

Generates natural, fluent Chinese content that reads like human writing using the Qwen3-Next-80B-A3B model. Supports web search for latest information and direct file saving with customizable writing rules.

text-count-mcp-server

文本计数的一个模型上下文协议服务器

Azure Analysis Services MCP Server by CData

Azure Analysis Services MCP Server by CData

MCP Agent Social Media Server

Provides social media functionality for AI agents, enabling them to login with unique handles, read filtered posts, and create posts or replies within team-based discussions.

mcp2tcp

通过模型上下文协议 (MCP) 将物理硬件与 AI 大型语言模型连接起来的桥梁，从而实现对 TCP 设备的自然语言控制。

Bootstrap MCP Server

A minimal MCP server template with hot reload support that helps developers quickly set up and build Model Context Protocol servers with example tool implementations.

Dify Plugin Tools

一个允许 Dify 通过 HTTP 和服务器发送事件 (Server-Sent Events) 传输协议连接到多个 MCP (模型控制协议) 服务器的插件，支持 URL、标头和超时等自定义配置。

MCP Feedback Collector

A modern Model Context Protocol (MCP) server that enables AI assistants to collect interactive user feedback, supporting text and image-based responses.

Kakao API MCP Server

一个服务器，通过模型上下文协议使AI模型能够访问Kakao Map功能（地点搜索、地址查找、路线查找）和Daum搜索服务（网页、图片、博客、咖啡馆）。

MCP S3 File Uploader

Enables secure file uploads to Amazon S3 with progress tracking and presigned URL generation. Provides automatic UUID-based file naming and time-limited access URLs for uploaded files.

Watch the tutorial video on how to create an MCP server from

Torobjo MCP服务器是模型上下文协议（MCP）的一个强大实现，用于产品搜索和Instagram分析。它与Torob API集成以进行产品搜索，并从Instagram提取标题，具有模块化设计，易于使用且性能优化。

Super Windows CLI MCP Server

一个命令行界面服务器，提供对 Windows 环境的无限制系统访问，并具有 SYSTEM 级别的权限，从而可以完全控制文件、进程和配置设置。

MCP Server - HTTP with SSE

MCP服务器 - HTTP与SSE - 对于远程服务器，启动一个Web服务器，该服务器包含一个服务器发送事件（SSE）端点，用于向客户端推送更新，以及一个单独的端点，用于接收从客户端发送的消息。

BurpSuite MCP Server

BurpSuite MCP 服务器：一个强大的模型上下文协议 (MCP) 服务器实现，用于 BurpSuite，提供对 Burp 核心功能的编程访问。

Task Orchestration

Task Orchestration

Sauce Demo Cypress Tests

This is an experimental project to integrate Playwright with MCP. My plan is to conduct in-depth research, understand the intricacies of the integration, and review the best articles on the web to create the optimal version of a project using both technologies.

esp-component-registry-mcp

ESP 组件注册表的 MCP 服务器

QuantMCP

A Model Context Protocol server that integrates with Amazon Braket, allowing AI assistants to access, control, and interpret results from quantum computing resources.