Discover Awesome MCP Servers

LM_PS_MCP

A minimal MCP server that exposes a persistent PowerShell session to LM Studio, enabling command execution, directory navigation, and environment variable management via tools like ps_run, cd, and env_set.

MCP Client-Server Sandbox for LLM Augmentation

用于增强 LLM 推理（本地或云端）的完整沙盒，集成了 MCP 客户端-服务器。为 MCP 服务器验证和 Agentic 评估提供低摩擦的试验平台。

CommandBridge MCP

Cross-platform MCP server for policy-controlled command execution on Linux and Windows, with no SSH dependency.

aws-blackbelt-mcp-server

A Model Context Protocol (MCP) server that enables searching AWS Black Belt Online Seminars and retrieving their transcripts.

Quack MCP Server

A continuous integration server that automates Python code analysis, providing linting and static type checking tools for quality assurance.

solana-infra-mcp

Provides Solana infrastructure awareness including RPC health, priority fee estimation, leader schedule, chain state, latency comparison, and keyless transaction submission.

Respira for WordPress

MCP server for AI-assisted WordPress editing across 12 page builders. 172 tools for content management, page builder editing, WooCommerce, SEO analysis, accessibility scanning, and site intelligence. Edits native builder formats (Elementor, Bricks, Divi, Gutenberg, Beaver Builder, and 7 more) with duplicate-before-edit safety, optimistic locking, and surgical element-level operations

COMSOL MCP Server

Enables AI agents to automate COMSOL Multiphysics simulations, including model management, geometry building, physics configuration, meshing, solving, and results visualization through the MCP protocol.

aba-payway-mcp

Enables MCP-compatible AI tools to create checkouts, generate KHQR codes, check/list transactions, issue refunds, create payment links, and pull exchange rates via ABA Bank's PayWay API.

Email Sender MCP Server

Enables sending emails through SMTP with support for multiple recipients, attachments, CC/BCC, and both plain text and HTML formats. Includes preset configurations for common email providers like Gmail, QQ, Outlook, and 163.

TimeLiner MCP Server

An MCP server for controlling the TimeLiner project management system, enabling AI clients to manage projects, tasks, members, and more via natural language.

discord-mcp-server

Lets any MCP-compatible AI client interact with Discord — send messages, manage channels, create webhooks, assign roles, and more.

Somnia MCP Server

Enables AI agents to interact with the Somnia blockchain network, including documentation search, blockchain queries, wallet management, cryptographic signing, and on-chain operations.

transcribeMCP

MCP server for GovTech's Transcribe speech-to-text service, enabling audio upload, batch transcription, summaries, minutes, sections, notes, and transcript Q&A.

Cars MCP Server

Okay, here's a basic example of how you might set up a simple Minecraft Protocol (MCP) server using Spring AI. This is a high-level outline and requires you to fill in the details based on your specific needs and the MCP library you choose. This example focuses on the Spring AI integration for handling commands or interactions. **Important Considerations:** * **MCP Library:** There isn't a single "standard" MCP library for Java. You'll need to choose one. Popular options include: * **MinecraftForge:** A very common modding platform. If you're building a mod, this is likely your choice. * **SpongeAPI:** Another modding platform, known for its plugin API. * **Custom Implementation:** You *could* implement the MCP protocol yourself, but this is a significant undertaking. I strongly recommend using an existing library. * **Spring Boot:** This example assumes you're using Spring Boot for easy setup and dependency management. * **Spring AI:** This example uses Spring AI to process player input and generate responses. **Project Setup (Maven or Gradle):** Add the following dependencies to your `pom.xml` (Maven) or `build.gradle` (Gradle): **Maven (`pom.xml`):** ```xml <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>0.8.0</version> <!-- Or the latest version --> </dependency> <dependency> <groupId>org.springframework.ai</groupId> <artifactId>spring-ai-openai</artifactId> <version>0.8.0</version> <!-- Or the latest version --> </dependency> <!-- Your chosen MCP library dependency goes here. Example using a hypothetical MCP library: --> <!-- <dependency> <groupId>com.example</groupId> <artifactId>mcp-library</artifactId> <version>1.0.0</version> </dependency> --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> </dependencies> ``` **Gradle (`build.gradle`):** ```gradle dependencies { implementation 'org.springframework.boot:spring-boot-starter-web' implementation 'org.springframework.ai:spring-ai-core:0.8.0' // Or the latest version implementation 'org.springframework.ai:spring-ai-openai:0.8.0' // Or the latest version // Your chosen MCP library dependency goes here. Example using a hypothetical MCP library: // implementation 'com.example:mcp-library:1.0.0' testImplementation 'org.springframework.boot:spring-boot-starter-test' } ``` **1. Spring Boot Application Class:** ```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); } } ``` **2. MCP Server Component (Example):** ```java import org.springframework.ai.client.AiClient; import org.springframework.ai.prompt.PromptTemplate; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Value; import org.springframework.stereotype.Component; import javax.annotation.PostConstruct; import javax.annotation.PreDestroy; import java.util.HashMap; import java.util.Map; @Component public class McpServer { // Replace with your actual MCP server implementation private boolean isRunning = false; @Autowired private AiClient aiClient; @Value("${spring.ai.openai.api-key}") private String openAiApiKey; @Value("${mcp.server.port}") private int serverPort; @Value("${mcp.ai.prompt}") private String aiPrompt; @PostConstruct public void startServer() { System.out.println("Starting MCP Server on port: " + serverPort); System.out.println("Using OpenAI API Key: " + openAiApiKey); // Initialize your MCP server here (using your chosen library) // Example (replace with actual code): // this.mcpServer = new MyMcpserver(serverPort); // this.mcpServer.start(); isRunning = true; System.out.println("MCP Server started."); } @PreDestroy public void stopServer() { if (isRunning) { System.out.println("Stopping MCP Server"); // Stop your MCP server here (using your chosen library) // Example (replace with actual code): // this.mcpServer.stop(); isRunning = false; System.out.println("MCP Server stopped."); } } // Example method to handle player input and use Spring AI public String handlePlayerCommand(String playerName, String command) { System.out.println("Received command from " + playerName + ": " + command); // Use Spring AI to generate a response PromptTemplate promptTemplate = new PromptTemplate(aiPrompt); Map<String, Object> model = new HashMap<>(); model.put("playerName", playerName); model.put("command", command); String response = aiClient.generate(promptTemplate.create(model)).getGeneration().getText(); System.out.println("AI Response: " + response); return response; // Or send the response back to the player in-game } } ``` **3. Configuration (`application.properties` or `application.yml`):** ```properties spring.ai.openai.api-key=YOUR_OPENAI_API_KEY # Replace with your actual OpenAI API key mcp.server.port=25565 # Or your desired port mcp.ai.prompt=Player {playerName} issued command: {command}. Respond in a helpful and Minecraft-themed way. ``` **Explanation:** * **Dependencies:** The `spring-boot-starter-web` dependency is included for basic web functionality (though you might not need it directly for the MCP server itself, it's often useful for management endpoints). `spring-ai-core` and `spring-ai-openai` are the core Spring AI dependencies. You'll need to add the dependency for your chosen MCP library. * **`McpServerApplication`:** A standard Spring Boot application entry point. * **`McpServer` Component:** * `@Component`: Marks this class as a Spring-managed component. * `@Autowired AiClient`: Injects the Spring AI client. * `@Value`: Injects values from your `application.properties` or `application.yml` file. **Important:** Replace `YOUR_OPENAI_API_KEY` with your actual OpenAI API key. * `@PostConstruct`: The `startServer()` method is called after the Spring context is initialized. This is where you would start your MCP server. **You'll need to replace the placeholder comments with the actual code to initialize and start your chosen MCP library.** * `@PreDestroy`: The `stopServer()` method is called when the Spring context is shutting down. This is where you would stop your MCP server. **You'll need to replace the placeholder comments with the actual code to stop your chosen MCP library.** * `handlePlayerCommand()`: This is a *very* simplified example of how you might handle player input. It takes the player's name and command as input, uses Spring AI to generate a response, and then returns the response. **You'll need to adapt this to your specific MCP library and how it handles player input.** * **Spring AI Integration:** * `PromptTemplate`: Defines the prompt that will be sent to the AI model. The prompt includes placeholders for the player's name and command. * `aiClient.generate()`: Sends the prompt to the AI model and returns a response. * The response is then printed to the console and returned. * **`application.properties`:** Contains the configuration for your application, including the OpenAI API key, the server port, and the AI prompt. **Remember to replace `YOUR_OPENAI_API_KEY` with your actual key.** **How to Use It (Conceptual):** 1. **Choose an MCP Library:** Select the MCP library that best suits your needs (MinecraftForge, SpongeAPI, or a custom implementation). 2. **Implement MCP Server Logic:** Replace the placeholder comments in the `McpServer` class with the actual code to initialize, start, and stop your MCP server using your chosen library. This will involve handling network connections, player authentication, world loading, etc. 3. **Handle Player Input:** Modify the `handlePlayerCommand()` method to receive player input from your MCP server. This will likely involve listening for specific events or packets from the MCP library. 4. **Send Responses to Players:** Modify the `handlePlayerCommand()` method to send the AI-generated response back to the player in the game. This will involve using the appropriate methods from your MCP library to send messages to players. 5. **Configure Spring AI:** Make sure you have a valid OpenAI API key and that you've configured it in your `application.properties` file. You can also experiment with different AI models and prompt templates to get the desired behavior. **Example Scenario:** 1. A player types `/ask what is the best way to find diamonds?` in the game. 2. Your MCP server receives this command. 3. The `handlePlayerCommand()` method is called with `playerName` set to the player's name and `command` set to "what is the best way to find diamonds?". 4. The `PromptTemplate` is used to create a prompt like: "Player Steve issued command: what is the best way to find diamonds?. Respond in a helpful and Minecraft-themed way." 5. The prompt is sent to the OpenAI API. 6. The OpenAI API generates a response, such as: "Ahoy, matey! To find diamonds, ye should dig down to level -58 and look for them near lava pools. Be careful, though, or ye might get burned!" 7. The response is sent back to the player in the game. **Important Notes:** * **Error Handling:** This is a very basic example and doesn't include any error handling. You'll need to add error handling to your code to make it more robust. * **Security:** Be very careful about security when building an MCP server. Make sure you properly authenticate players and protect against exploits. * **Asynchronous Operations:** MCP servers are typically multi-threaded. Make sure you handle player input and AI responses asynchronously to avoid blocking the main server thread. Consider using Spring's `@Async` annotation or other concurrency mechanisms. * **Rate Limiting:** Be mindful of the OpenAI API's rate limits. You may need to implement rate limiting in your code to avoid being throttled. * **Prompt Engineering:** The quality of the AI's responses depends heavily on the prompt you provide. Experiment with different prompts to get the best results. * **Cost:** Using OpenAI's API incurs costs. Be aware of the pricing and monitor your usage. **Chinese Translation of Key Terms:** * **MCP (Minecraft Protocol):** Minecraft 协议 (Minecraft Xiéyì) * **Spring AI:** Spring 人工智能 (Spring Réngōng Zhìnéng) * **Server:** 服务器 (Fúwùqì) * **Player:** 玩家 (Wánjiā) * **Command:** 命令 (Mìnglìng) * **Prompt:** 提示 (Tíshì) * **API Key:** API 密钥 (API Mìyuè) * **Dependency:** 依赖 (Yīlài) * **Configuration:** 配置 (Pèizhì) * **Response:** 回应 (Huíyìng) / 响应 (Xiǎngyìng) This example provides a starting point for building an MCP server with Spring AI. You'll need to adapt it to your specific needs and the MCP library you choose. Remember to consult the documentation for your chosen MCP library and the Spring AI documentation for more information. Good luck!

Open Mind

Self-hosted personal knowledge base with semantic search, enabling AI agents to capture, search, and manage thoughts using PostgreSQL with pgvector.

unstuck-mcp

Prevents coding agents from repeatedly attempting the same failed fix by tracking attempts and blocking further fixes until the agent uses its own web search tool.

bq_mcp_server

A Python MCP server that retrieves and caches BigQuery metadata (datasets, tables, columns) and enables secure SQL query execution with cost control, file export, and keyword search.

A MCP server for Godot RAG

这个 MCP 服务器用于向 Godot RAG 模型提供 Godot 文档。

NOUZ MCP Server

MCP Server for local knowledge management. Semantic + keywords + tags

Outpost

Social media API and MCP server for AI agents that enables publishing to X, Instagram, LinkedIn, Reddit, Bluesky, and Threads from a single endpoint.

kernel-mcp

An MCP server that enables AI-powered Linux kernel development, exposing tools for symbol search, static analysis, build automation, QEMU/GDB debugging, and more via IBM Bob.

MCP SSH Server

Enables Claude Code to control remote servers via SSH for automated deployment, testing, and operations, including command execution and file transfer.

Commodore 64 Ultimate MCP Server

Enables AI assistants to control Commodore 64 Ultimate hardware via REST API, supporting program execution, memory operations, disk management, audio playback, and device configuration through natural language commands.

UK Bus Departures MCP Server

Enables users to get real-time UK bus departure information and validate bus stop ATCO codes by scraping bustimes.org. Provides structured data including service numbers, destinations, scheduled and expected departure times for any UK bus stop.

onyx-paid-mcp

Build a paid MCP server that charges AI agents per call in USDC, with automatic payment handling via HTTP 402 and EIP-3009.

FFmpeg MCP

Enables video and audio processing through FFmpeg, supporting format conversion, compression, trimming, audio extraction, frame extraction, video merging, and subtitle burning through natural language commands.

mcp-guard

Zero-dependency local proxy that wraps any MCP server to redact secrets, strip hidden-Unicode prompt injection, and block writes to protected paths like ~/.ssh and .env.

mcp-server-toolkit

Production-ready MCP server starter with authentication, observability, and a plugin system for building and deploying MCP servers quickly.