Discover Awesome MCP Servers

coros-workout-mcp

Enables Claude to design strength workouts and push them directly to COROS watches via the Training Hub API. It supports searching an exercise catalog, creating workout routines, and listing existing workouts.

Human Design MCP Server

Calculates Human Design charts based on birth date, time, and location, providing type, strategy, authority, profile, gates, defined centers, and incarnation cross information.

SciX Client

Enables AI assistants to interact with the SciX (formerly NASA ADS) API to search scientific literature, export citations, and analyze bibliometric data. It supports advanced tools for managing libraries, resolving astronomical object names, and exploring citation networks.

Excel Chart MCP Server

A dual-mode intelligent Excel processing server that provides Excel data analysis tools for Cursor AI in MCP mode and offers a standalone web interface with support for external AI configurations like DeepSeek.

Secure Command Executor MCP Server

一个强大的命令执行服务，具有每日日志轮换功能，旨在安全地管理和执行系统命令，并具有安全检查和日志记录功能。

Chargebee MCP Server

A server that integrates with AI-powered code editors to provide immediate answers about Chargebee products and API services, offering context-aware code snippets and access to Chargebee's knowledge base.

Nexus MCP for Obsidian

Turns your Obsidian vault into an MCP-enabled workspace with tools for reading/writing notes, managing folders, running semantic searches, and maintaining long-term memory—all while keeping data local to your vault.

Azure AI Agent Service MCP Server

Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.

hello-mcp-server-current-time

好的，这是一个基于 `spring-ai-starter-mcp-server` 的自定义 MCP Server 简单示例，用于获取当前时间。 我将提供代码示例，并解释关键部分。 **1. 项目结构 (假设 Maven 项目)** ``` my-mcp-server/ ├── pom.xml └── src/ └── main/ ├── java/ │ └── com/example/ │ └── mcp/ │ ├── config/ │ │ └── McpServerConfig.java // MCP Server 配置 │ └── controller/ │ └── TimeController.java // 处理时间请求的 Controller └── resources/ └── application.properties // 配置文件 ``` **2. `pom.xml` (Maven 依赖)** ```xml <?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>3.2.0</version> <!-- 使用最新的 Spring Boot 版本 --> <relativePath/> <!-- lookup parent from repository --> </parent> <groupId>com.example</groupId> <artifactId>my-mcp-server</artifactId> <version>0.0.1-SNAPSHOT</version> <name>my-mcp-server</name> <description>Demo project for Spring Boot MCP Server</description> <properties> <java.version>17</java.version> <spring-ai.version>1.0.0-M2</spring-ai.version> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-core</artifactId> <version>${spring-ai.version}</version> </dependency> <dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-spring-boot-starter-mcp-server</artifactId> <version>${spring-ai.version}</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> </plugins> </build> </project> ``` **关键依赖:** * `spring-boot-starter-web`: 提供 Spring Web MVC 功能，用于创建 RESTful API。 * `spring-ai-core`: Spring AI 核心库。 * `spring-ai-spring-boot-starter-mcp-server`: Spring AI MCP Server 启动器。 **3. `application.properties` (配置文件)** ```properties # 端口号 server.port=8080 # MCP Server 配置 (可选，使用默认值即可) spring.ai.mcp.server.enabled=true spring.ai.mcp.server.path=/mcp ``` **4. `McpServerConfig.java` (MCP Server 配置)** ```java package com.example.mcp.config; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.Bean; import org.springframework.ai.autoconfigure.AiServiceProperties; import org.springframework.ai.autoconfigure.McpServerProperties; import org.springframework.ai.mcp.server.AiServiceHandlerFunction; import org.springframework.ai.mcp.server.McpServerEndpoint; import org.springframework.ai.mcp.server.McpServerFunctionRegistry; import org.springframework.ai.mcp.server.support.DefaultMcpServerFunctionRegistry; import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean; import org.springframework.context.ApplicationContext; import org.springframework.web.servlet.function.RouterFunction; import org.springframework.web.servlet.function.ServerResponse; import java.util.List; import static org.springframework.web.servlet.function.RouterFunctions.route; import static org.springframework.web.servlet.function.RequestPredicates.POST; @Configuration public class McpServerConfig { @Bean @ConditionalOnMissingBean public McpServerFunctionRegistry mcpServerFunctionRegistry() { return new DefaultMcpServerFunctionRegistry(); } @Bean public McpServerEndpoint mcpServerEndpoint(McpServerProperties mcpServerProperties, McpServerFunctionRegistry mcpServerFunctionRegistry, ApplicationContext applicationContext, List<AiServiceHandlerFunction> aiServiceHandlerFunctions) { return new McpServerEndpoint(mcpServerProperties, mcpServerFunctionRegistry, applicationContext, aiServiceHandlerFunctions); } @Bean public RouterFunction<ServerResponse> timeRouterFunction(TimeController timeController, McpServerProperties mcpServerProperties) { return route(POST(mcpServerProperties.getPath() + "/time"), timeController::getTime); } } ``` **5. `TimeController.java` (处理时间请求的 Controller)** ```java package com.example.mcp.controller; import org.springframework.stereotype.Component; import org.springframework.web.servlet.function.ServerRequest; import org.springframework.web.servlet.function.ServerResponse; import java.time.LocalDateTime; import java.time.format.DateTimeFormatter; import static org.springframework.web.servlet.function.ServerResponse.ok; @Component public class TimeController { public ServerResponse getTime(ServerRequest request) { LocalDateTime now = LocalDateTime.now(); DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"); String formattedDateTime = now.format(formatter); return ok().body(formattedDateTime); } } ``` **解释:** * `@Component`: 将 `TimeController` 标记为一个 Spring 组件，使其可以被自动注入。 * `getTime(ServerRequest request)`: 处理 `/mcp/time` POST 请求的方法。 * `LocalDateTime.now()`: 获取当前时间。 * `DateTimeFormatter`: 格式化时间为 `yyyy-MM-dd HH:mm:ss` 格式。 * `ok().body(formattedDateTime)`: 返回 HTTP 200 OK 状态码，并将格式化后的时间作为响应体。 **6. 启动应用程序** 运行 Spring Boot 应用程序。 **7. 测试** 使用 `curl` 或 Postman 等工具发送 POST 请求到 `/mcp/time`： ```bash curl -X POST http://localhost:8080/mcp/time ``` **预期响应:** ``` 2023-11-21 10:30:00 (实际时间会不同) ``` **总结:** 这个示例展示了如何使用 `spring-ai-starter-mcp-server` 创建一个简单的 MCP Server，并添加自定义的端点来处理特定的请求。 关键步骤包括： 1. 添加必要的 Maven 依赖。 2. 配置 `application.properties`。 3. 创建一个 Controller 来处理请求。 4. 创建一个配置类，将Controller注册到RouterFunction中。 5. 启动应用程序并测试端点。 **重要提示:** * 确保你已经安装了 Java 17 或更高版本。 * 根据你的实际需求调整时间格式。 * 这个示例非常简单，你可以根据需要添加更复杂的功能，例如身份验证、授权、数据验证等。 * 请根据实际情况调整 Spring AI 的版本号。 * 如果遇到问题，请检查日志文件以获取更多信息。 这个例子应该能帮助你开始构建自己的自定义 MCP Server。 如果你有任何问题，请随时提出。

Maven Dependencies Server

一个 MCP (模型上下文协议) 服务器，提供用于检查 Maven 依赖项版本的工具。该服务器使 LLM 能够验证 Maven 依赖项并从 Maven 中央仓库检索其最新版本。

Dangerous MCP

一个演示服务器，通过访问敏感环境变量来揭示安全风险，说明 MCP 工具如何在未经明确同意的情况下潜在地泄露用户数据。

Remote MCP Server Authless

A serverless solution for deploying Model Context Protocol (MCP) servers on Cloudflare Workers without authentication requirements, enabling developers to create and access custom AI tools through the MCP standard.

Consumer Rights Wiki MCP Server

Enables AI assistants to access the Consumer Rights Wiki, providing tools to search and retrieve information about modern consumer exploitation issues like privacy violations, dark patterns, and deceptive pricing practices.

Bio-MCP BLAST

Enables AI assistants to perform NCBI BLAST sequence similarity searches through natural language, supporting nucleotide and protein searches, custom database creation, and multiple output formats.

IRIS ObjectScript MCP Server

Provides access to InterSystems IRIS ObjectScript documentation, examples, and intelligent search tools. Enables developers to query documentation, search class references, and access official IRIS resources through natural language.

Petstore MCP Server

A comprehensive Model Context Protocol implementation for the Swagger Petstore API that provides 19 tools across pet management, store operations, and user management categories.

Repology MCP Server

Enables users to search and retrieve package repository information from Repology through natural language. Supports searching projects, getting detailed package information, and checking repository problems across multiple Linux distributions and package managers.

FoundryMCP

MCP Server for AI Agents accessing Palantir Foundry

Chrome MCP Server

一个模型上下文协议服务器，它使 AI 助手能够通过 Chrome 开发者工具协议控制 Chrome 浏览器，从而实现导航、点击、输入和提取页面信息等功能。

Productive Simple MCP

A Model Context Protocol (MCP) server for accessing Productive.io API endpoints (projects, tasks, comments, todos), tailored for read-only operations, providing streamlined access to essential data while minimizing token consumption

Email Sending MCP

A simple MCP server that enables users to send emails using Resend's API, integrating with tools like Cursor and Claude Desktop for seamless email composition and delivery.

Zoho Books MCP Server by CData

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Zoho Books (beta): https://www.cdata.com/download/download.aspx?sku=GZZK-V&type=beta

Guess Number MCP Server

Enables users to play a number guessing game through a remote MCP server deployed on Google Cloud Run. The server tracks game state per user and maintains conversation logs for an interactive guessing experience.

PerfDog to Tableau MCP Server

Automates downloading mobile game performance data from PerfDog and converts it to Tableau-ready CSV format with device statistics, FPS metrics, and time-series data.

Slack MCP Server

Enables interaction with Slack workspaces to manage channels, post messages, add reactions, view message history and threads, and retrieve user profiles through the Model Context Protocol.

Interactive Brokers MCP Server

Enables real-time stock and options market data retrieval from Interactive Brokers through IB Gateway. Provides stock quotes with price and volume information, plus options quotes with bid, ask, and last price data.

hearthstone-decks-mcp

A Hearthstone deck parsing server that decodes deck codes into detailed card lists, images, and mana curve statistics. It provides tools for searching specific cards and retrieving metadata via the Model Context Protocol.

MapleStory MCP Server

Provides structured access to Nexon's MapleStory Open API, allowing users to query character stats, equipment, Union systems, and guild data. It also enables AI assistants to retrieve game rankings, enhancement probabilities, and official game announcements.

AI Helper MCP Server

A server that allows AI agents to consult multiple large language models (like Grok, Gemini, Claude, GPT-4o) through Model Context Protocol for assistance and information.