Discover Awesome MCP Servers

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。

ynab-mcp

Enables reading and writing YNAB budget data, such as listing budgets, accounts, categories, transactions, and creating or updating transactions, through natural language commands.

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.

Canva MCP Server

A Model Context Protocol (MCP) server for Canva integration. Connect Claude Code or any MCP-compatible AI client to your Canva account to search designs, generate AI designs, edit content, manage folders, and collaborate through comments.

MCP Calculator Project

A communication pipe and tool suite that enables AI models to interact with external systems through mathematical calculations, remote control, and data processing. It supports multiple transport protocols including stdio, SSE, and HTTP for flexible and extensible tool integration.

swiss-democracy-mcp

An MCP server providing access to Swiss direct democracy data, covering all federal popular votes since 1848 and elections since 1900.

mingdao-mcp-server

MCP server for Mingdao Worksheet API. Enables listing worksheets, querying records, and performing CRUD operations on Mingdao (明道云) works through natural language.

RedHatLDAP-MCP

Provides read-only access to corporate LDAP directories, enabling AI assistants to search for people, navigate organizational hierarchies, and export contact information.

sharepoint-mcp

A production-grade Model Context Protocol (MCP) server for Microsoft SharePoint that connects AI agents to read files, manage folders, and reason over organizational knowledge.

websearch-deepseek

An MCP server that provides web search powered by DeepSeek's native search API, returning AI-generated answers with source links. Integrates with MCP-compatible clients like Claude Code and Cursor.

mnemex

Provides persistent, anchored memory for AI coding agents, binding every decision to specific lines of code and delivering relevant context just-in-time via the Model Context Protocol.

Cloud SQL Admin MCP Server

An MCP Server that enables interaction with Google Cloud SQL Admin API, allowing users to manage Cloud SQL database instances through natural language commands.

ui-ticket-mcp

Human-to-AI code review bridge. Annotate UI elements in the browser with review comments, and AI agents read the feedback via MCP to fix code automatically — with full element context (CSS selector, styles, DOM path, accessibility info). 10 MCP tools, framework-agnostic Web Component, zero-config install via uvx.

Web Search MCP

Provides eight tools for web search, content extraction, screenshots, PDFs, JavaScript execution, crawling, and Wayback Machine snapshots and archiving.

@gu-does-packages/pluggy-mcp

An MCP server for the Pluggy Open Finance Brazil API, enabling connection to bank accounts and management of financial data including transactions, accounts, investments, and payment intents through natural language.

Sony TV MCP Server

Enables control of Sony TVs via IRCC remote commands through Model Context Protocol.

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.

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.

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.

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.