Discover Awesome MCP Servers

MCP Server

A basic MCP server implementation using Node.js and TypeScript that bridges AI models with external tools and data sources via JSON-RPC.

repocks

Transforms Markdown documentation into an intelligent knowledge base with AI-powered search and Q\&A through an MCP server.

Semantic Search MCP Server

Enables semantic search over documentation stored in a Vectorize database using the Cloudflare Agents SDK, allowing users to query indexed content via natural language.

cvmaker-mcp

A local MCP server that bridges AI assistants with the CV Maker app to generate pixel-perfect CV PDFs.

DuckDB H3 Local MCP Server

Converts raster and vector geospatial data into H3-indexed Parquet files and serves them via a local MCP server with DuckDB SQL querying.

Zoho CRM MCP Server

Enables AI models to interact with Zoho CRM via Model Context Protocol, supporting CRUD operations, COQL queries, search, and deal stage management.

japan-seasons-mcp

Live Japan seasonal travel data from Japan Meteorological Corporation. 12 tools covering cherry blossom (sakura) forecasts, autumn leaves (koyo), fruit picking, flowers, festivals, and 3-day weather. 1,700+ GPS-tagged spots updated daily at 9AM JST. Works via npx or hosted HTTP endpoint — no auth required.

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.

Recall — Memory Agent for Students

Enables students to capture and recall narrated observations from labs, lectures, or fieldwork, and generate study summaries or lab report drafts.

nsight-graphics-mcp

MCP server for reading, filtering, and analyzing NVIDIA Nsight Graphics captures via ngfx-replay, exposing tools for capture inspection, GPU Trace profiling, and replay analysis.

Task Orchestrator MCP Server

A sophisticated task orchestration system with role-based workflow management and Trello integration.

ruru-swbot-mcp

Enables control of SwitchBot devices by name, reducing the risk of AI misidentifying device IDs.

Vibe MCP

Browser automation MCP server that enables multiple AI agents to simultaneously control a real Chrome browser using the Vibe extension, supporting local and private automation with logged-in sessions.

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。

Tempera

Enables Claude Code with persistent memory that learns from past sessions, capturing coding episodes and surfacing relevant memories to improve over time.

IRA-RESEARCHER

A powerful browser automation MCP server with 40 tools, stealth mode, ghost effects, and full DevTools access, enabling natural language control of browsers without any API keys.

Salesforce MCP Server

Enables natural language interactions with Salesforce data and metadata, supporting queries, data manipulation, custom object/field management, Apex code operations, and debug logging across multiple authentication methods.

steam-games-mcp

Enables interaction with Steam: search games, get store details, reviews, prices, discounts, news, and player profiles, libraries, and achievements via the Steam Web API.

Revenium MCP Server

Connects AI agents to Revenium for cost tracking, alerting, and usage-based billing, enabling AI assistants to manage costs, set alerts, and handle billing operations.

Enterprise Secure AWS MCP Server

Enables secure tool discovery and execution on AWS Lambda with role-based access control, command injection defense, and sensitive data redaction, allowing managed CloudWatch log queries and Terraform operations through a standard MCP interface.

mcp-ToseaAI

Official MCP server for ToseaAI that enables document-to-presentation workflows including PDF parsing, outline generation, and slide rendering. It provides a stable tool surface for AI agents to create, manage, and export presentations directly within their environment.

ShipReceipt MCP Server

Provides tools to create, run, and verify deterministic delivery receipts for completion claims, enabling reviewers to check freshness and correctness of evidence.

KanseiLink MCP Server

An intelligence layer for discovering and orchestrating Japanese SaaS MCP tools through intent-based search and workflow recipes. It enables AI agents to evaluate service quality using community-driven insights while ensuring privacy through automated PII masking.

dibs

MCP server enabling AI agents to coordinate on a shared board: they can declare work, exchange typed messages, transfer files, and hold advisory claims, preventing duplicate effort across agents.

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.

ntnu-api

MCP server exposing NTNU course data (search, schedules, grades, semesters) as tools for LLM agents.

mcptestingwm

A minimal MCP server for validating connectivity to World Monitor, exposing tools for latest events, active alerts, country risk, and top incidents.

MCP Hardware Access Library

A Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.

lego-mcp

An MCP server that enables LLMs to build physically valid Lego models by enforcing catalog-only parts, no overlaps, stud-to-tube connections, and other real-world constraints.

Akash MCP Server

一个实现了模型上下文协议的 TypeScript 服务器，它使 AI 代理能够与 Akash 网络交互，允许它们通过类型化的工具部署应用程序、创建租约、管理部署以及访问其他 Akash 服务。