Discover Awesome MCP Servers
Extend your agent with 27,225 capabilities via MCP servers.
- All27,225
- Developer Tools3,867
- Search1,714
- Research & Data1,557
- AI Integration Systems229
- Cloud Platforms219
- Data & App Analysis181
- Database Interaction177
- Remote Shell Execution165
- Browser Automation147
- Databases145
- Communication137
- AI Content Generation127
- OS Automation120
- Programming Docs Access109
- Content Fetching108
- Note Taking97
- File Systems96
- Version Control93
- Finance91
- Knowledge & Memory90
- Monitoring79
- Security71
- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
- Cloud Storage51
- Entertainment & Media43
- Virtualization42
- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
- Speech Processing18
- Customer Data Platforms16
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- Education & Learning Tools13
- Home Automation & IoT13
- Web Search Integration12
- Health & Wellness10
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- Marketing9
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- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
News Analysis Agent MCP Server
Provides tools for fetching real-time news and performing AI-powered sentiment analysis and summarization using Mistral AI. It enables users to analyze news trends and extract structured insights through natural language queries.
Readwise MCP Enhanced
A comprehensive MCP server that unifies Readwise Reader document management with full Readwise highlights functionality, featuring AI-powered text processing and 94% reduction in token usage. Enables saving, searching, and managing documents and highlights through natural language with advanced content controls and spaced repetition learning.
SQL-Transpiler MCP Tool
Converts SQL queries between different database dialects using the sqlglot library to ensure cross-system compatibility. It allows users to list supported dialects and transpile SQL code from one syntax to another through the Model Context Protocol.
MCP Server Template
A scaffold project for building FastAPI-based Model Context Protocol servers with automatic tool discovery and router capabilities.
MCP Kakao Local
Connects to Kakao Local API and Kakao Maps, enabling access to location-based services and map functionality in Korea.
Facebook Ads MCP Server
Claude AI를 활용하여 Facebook 광고 캠페인을 입력하고 평가하는 MCP 서버
Uber MCP Server
Enables AI assistants to interact with the Uber API for ride management, including requesting rides, obtaining price and time estimates, and tracking active trip status. It supports comprehensive journey features such as viewing ride history, cancelling requests, and rating drivers through a secure OAuth 2.0 integration.
AI Personal Hub
Unified personal assistant MCP server that connects local files, GitHub repositories, YouTube playlists, Gmail, and Steam data. Enables querying and managing personal data across multiple platforms through natural language via LM Studio integration.
Sample MCP Server
A TypeScript-based MCP server implementing a simple notes system that allows users to create, access, and generate summaries of text notes.
mcp-skills
Integrates with the skills.sh ecosystem to allow AI coding agents to discover, install, and manage reusable instruction sets. It enables autonomous agents to extend their capabilities with structured skill discovery and full lifecycle management through the Model Context Protocol.
Akash MCP Server
Akash 네트워크와 상호 작용할 수 있도록 AI 에이전트에게 모델 컨텍스트 프로토콜을 구현하는 TypeScript 서버입니다. 이를 통해 AI 에이전트는 타입이 지정된 도구를 사용하여 애플리케이션 배포, 임대 생성, 배포 관리 및 기타 Akash 서비스에 액세스할 수 있습니다.
Test MCP Server Traia
This MCP server provides access to the Test mcp server Traia API, enabling AI agents and LLMs to interact with its endpoints through standardized tools. It features asynchronous operation handling and simple deployment options via Docker for efficient integration.
Instagram MCP Server
Enables interaction with Instagram API functionality through a FastMCP-based server. Provides type-safe access to Instagram features with comprehensive error handling and multiple authentication methods.
Music Analysis
MCP를 사용하여 로컬 오디오 파일을 분석합니다.
Netmex MCP
A lightweight and extendable MCP server toolkit that allows developers to build and integrate custom tools with AI assistants through automatic tool discovery from local directories or npm packages.
Perplexity MCP Server
Integrates with Perplexity's API to provide web search and AI-powered answers with citations. Offers a three-tier research workflow: search for sources, ask for grounded AI answers, and ask_more for deeper analysis using advanced models.
Port MCP Server
거울
lighthouse-mcp
Cursor/Cline/GitHub Copilot과 같은 AI 어시스턴트가 Google의 Lighthouse 도구를 사용하여 웹 페이지의 성능 지표를 측정할 수 있도록 합니다. 그런 다음 에이전트 루프를 실행하여 어시스턴트가 해당 지표를 최적화하도록 할 수 있습니다!
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
안전 점검 및 로깅 기능을 통해 시스템 명령을 안전하게 관리하고 실행하도록 설계된, 일일 로그 로테이션 기능을 갖춘 강력한 명령 실행 서비스입니다.
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.
Remote MCP Server on Cloudflare
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
알겠습니다. spring-ai-starter-mcp-server 기반으로 현재 시간을 반환하는 간단한 사용자 정의 MCP 서버 예제를 제공해 드리겠습니다. **1. 프로젝트 설정 (pom.xml 또는 build.gradle)** 먼저, 필요한 의존성을 추가해야 합니다. `spring-ai-starter-mcp-server`를 사용하므로, 해당 의존성을 포함해야 합니다. ```xml (pom.xml 예시) <dependencies> <dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-starter-mcp-server</artifactId> <version>{spring-ai-version}</version> <!-- Spring AI 버전을 지정하세요 --> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> </dependencies> ``` **2. 사용자 정의 MCP 엔드포인트 생성** `@RestController` 어노테이션을 사용하여 MCP 엔드포인트를 정의합니다. `/time` 엔드포인트를 만들어 현재 시간을 반환하도록 하겠습니다. ```java import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RestController; import java.time.LocalDateTime; import java.time.format.DateTimeFormatter; @RestController public class TimeController { @GetMapping("/time") public String getCurrentTime() { LocalDateTime now = LocalDateTime.now(); DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"); return "현재 시간: " + now.format(formatter); } } ``` **3. Spring Boot 애플리케이션 클래스** Spring Boot 애플리케이션 클래스를 생성합니다. ```java import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @SpringBootApplication public class McpServerApplication { public static void main(String[] args) { SpringApplication.run(McpServerApplication.class, args); } } ``` **4. 애플리케이션 실행** Spring Boot 애플리케이션을 실행합니다. **5. 테스트** 애플리케이션이 실행되면, 브라우저나 `curl` 명령어를 사용하여 `/time` 엔드포인트를 호출하여 결과를 확인할 수 있습니다. ```bash curl http://localhost:8080/time ``` 결과는 다음과 유사할 것입니다. ``` 현재 시간: 2023-10-27 10:30:00 ``` **설명:** * **`@RestController`**: 이 어노테이션은 클래스를 REST 컨트롤러로 지정합니다. * **`@GetMapping("/time")`**: `/time` 경로에 대한 GET 요청을 처리하는 메서드를 정의합니다. * **`LocalDateTime.now()`**: 현재 날짜와 시간을 가져옵니다. * **`DateTimeFormatter`**: 날짜와 시간을 원하는 형식으로 포맷합니다. * **`SpringApplication.run()`**: Spring Boot 애플리케이션을 시작합니다. **주의사항:** * `{spring-ai-version}`을 실제 사용하려는 Spring AI 버전으로 바꿔야 합니다. * `application.properties` 또는 `application.yml` 파일에서 서버 포트 (기본적으로 8080)를 변경할 수 있습니다. * 이 예제는 매우 간단하며, 실제 MCP 서버에서는 인증, 로깅, 오류 처리 등 더 많은 기능이 필요할 수 있습니다. 이 예제가 Spring AI 기반의 사용자 정의 MCP 서버를 구축하는 데 도움이 되기를 바랍니다. 더 궁금한 점이 있으면 언제든지 질문해주세요.
Maven Dependencies Server
Maven 의존성 버전을 확인하는 도구를 제공하는 MCP (Model Context Protocol) 서버입니다. 이 서버를 통해 LLM은 Maven 의존성을 검증하고 Maven Central Repository에서 최신 버전을 검색할 수 있습니다.
Dangerous MCP
민감한 환경 변수에 접근하여 보안 위험을 드러내는 데모 서버입니다. MCP 도구가 명시적인 동의 없이 사용자 데이터를 유출할 수 있는 잠재력을 보여줍니다.
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.
ABP.IO MCP Server
Enables AI models to interact with ABP.IO applications through over 48 tools for managing modules, entities, users, and multi-tenancy. It supports comprehensive application lifecycle management and automated UI generation across multiple frameworks including Angular, Blazor, and MVC.