Discover Awesome MCP Servers

INDIAN MEDICINES (MCP SERVER)

一个全面的API服务器，用于药品信息查询、替代建议和成分分析。该服务器提供多个端点，用于搜索、过滤和分析药品数据，并具有模糊匹配和价格比较等高级功能。

Lizeur

Enables AI assistants to extract and read content from PDF documents using Mistral AI's OCR capabilities. Provides intelligent caching and returns clean markdown text for easy integration with AI workflows.

MCP-Todoist Integration

用于自然语言任务管理的 Todoist 集成的 MCP 服务器

Dynamics 365 MCP Server 🚀

Microsoft Dynamics 365 的 MCP 服务器 (Microsoft Dynamics 365 de MCP fúwùqì) Alternatively, depending on the context, you might also see: Microsoft Dynamics 365 的 MCP 服务器 (MCP 服务器通常指消息处理组件) (Microsoft Dynamics 365 de MCP fúwùqì (MCP fúwùqì tōngcháng zhǐ xiāoxī chǔlǐ zǔjiàn)) This second option adds a clarification that "MCP server" often refers to a message processing component. Choose the translation that best fits the specific situation.

MCP-Server de Mapas Mentais

A Python application that automatically generates different types of mind maps (presentation, comparison, beginner/intermediate content, problem analysis, and review) to help organize ideas visually through Claude Desktop integration.

Filesystem MCP Server

A Model Context Protocol server that provides AI agents with secure access to local filesystem operations, enabling reading, writing, and managing files through a standardized interface.

Tripo3D MCP

A tool integration that wraps Tripo3D API capabilities for 3D model generation, texturing, animation, and format conversion, supporting text/image-to-3D workflows via natural language commands.

Web3 Research MCP

加密货币深度研究 - 免费且完全本地化

Config MCP Server

Enables AI assistants to search documentation, read and update configuration files, and discover settings across your development workspace. Supports JSON, YAML, TOML, and Markdown files with seamless integration for GitHub Copilot and other MCP clients.

Codebase MCP Server

A Model Context Protocol server that analyzes application codebases with real-time file watching, providing AI assistants like Claude with deep insights into project structure, code patterns, and architecture.

MS SQL MCP Server

A bridge that allows AI assistants like Claude to directly query and explore Microsoft SQL Server databases without requiring coding experience.

Apple RAG MCP

Provides AI agents with instant access to official Apple developer documentation, Swift programming guides, design guidelines, and Apple Developer YouTube content including WWDC sessions. Uses advanced RAG technology with semantic search and AI reranking to deliver accurate, contextual answers for Apple platform development.

Databricks MCP Server

Enables LLM-powered tools to interact with Databricks clusters, jobs, notebooks, SQL warehouses, and Unity Catalog through the Model Completion Protocol. Provides comprehensive access to Databricks REST API functionality including cluster management, job execution, workspace operations, and data catalog operations.

MCP Research Server

A Model Context Protocol server that provides tools for searching arXiv papers and managing research paper information with local storage capabilities.

Apple Notes MCP Server

Enables interaction with Apple Notes on macOS through AppleScript, allowing users to list, search, read, create, update, and delete notes across accounts and folders.

MCP Mail Organizer

Enables comprehensive email management through IMAP/SMTP protocols with tools for searching, organizing, moving, flagging, and sending emails across various email providers. Features safe preview mode for destructive operations and supports multiple email providers including Gmail, Outlook, and Chinese email services.

SMU Schedule MCP Server

Enables management of Sangmyung University academic information including schedules, meals, notices, and exam details. Provides tools to query, search, add, and delete university data through a MySQL database connection.

Zignet

Enables AI-powered Zig programming assistance through code generation, debugging, and documentation explanation. Uses local LLM models to provide idiomatic Zig code creation and analysis capabilities.

MCP Atlassian Server

Integrates with Atlassian Cloud products (Confluence and Jira) to enable AI assistants to search, read, create, and manage pages, issues, comments, attachments, and export content through natural language interactions.

Python MCP Server Template

A standardized foundation for building Model Context Protocol servers that integrate with VS Code, using Python with stdio transport for seamless AI tool integration.

MCP GitLab Server

Enables comprehensive GitLab integration allowing LLMs to manage projects, issues, merge requests, repository files, CI/CD pipelines, and perform batch operations. Supports advanced features like AI-optimized summaries, smart diffs, and atomic operations with rollback support.

Grocery Search MCP Server

Provides grocery price and nutritional information search capabilities, allowing AI agents to search for food products, compare prices, and analyze nutritional content across different grocery stores.

Linkup Model Context Protocol

好的，这是 Linkup MCP 服务器的 JavaScript 版本： ```javascript const WebSocket = require('ws'); // Configuration const PORT = 8080; const HEARTBEAT_INTERVAL = 30000; // 30 seconds // Data Structures const clients = new Map(); // Map of client IDs to WebSocket objects const rooms = new Map(); // Map of room IDs to sets of client IDs // Helper Functions /** * Generates a unique ID. Simple for this example, but consider a more robust solution for production. * @returns {string} A unique ID. */ function generateId() { return Math.random().toString(36).substring(2, 15) + Math.random().toString(36).substring(2, 15); } /** * Sends a message to a specific client. * @param {string} clientId The ID of the client to send the message to. * @param {object} message The message to send (will be JSON stringified). */ function sendMessage(clientId, message) { const client = clients.get(clientId); if (client && client.readyState === WebSocket.OPEN) { try { client.send(JSON.stringify(message)); } catch (error) { console.error(`Error sending message to client ${clientId}:`, error); } } else { console.warn(`Client ${clientId} not found or not connected.`); } } /** * Sends a message to all clients in a room. * @param {string} roomId The ID of the room. * @param {object} message The message to send (will be JSON stringified). * @param {string} [excludeClientId] Optional client ID to exclude from receiving the message. */ function broadcastToRoom(roomId, message, excludeClientId) { const room = rooms.get(roomId); if (room) { room.forEach(clientId => { if (clientId !== excludeClientId) { sendMessage(clientId, message); } }); } } /** * Handles client disconnection. * @param {string} clientId The ID of the disconnected client. */ function handleDisconnect(clientId) { console.log(`Client ${clientId} disconnected.`); // Remove client from clients map clients.delete(clientId); // Remove client from all rooms rooms.forEach((room, roomId) => { if (room.has(clientId)) { room.delete(clientId); if (room.size === 0) { rooms.delete(roomId); // Remove empty room console.log(`Room ${roomId} is now empty and has been removed.`); } else { // Notify other clients in the room about the departure broadcastToRoom(roomId, { type: 'clientLeft', clientId: clientId }, clientId); } } }); } // WebSocket Server Setup const wss = new WebSocket.Server({ port: PORT }); wss.on('connection', ws => { const clientId = generateId(); clients.set(clientId, ws); console.log(`Client ${clientId} connected.`); // Send the client their ID sendMessage(clientId, { type: 'clientId', clientId: clientId }); // Handle incoming messages ws.on('message', message => { try { const parsedMessage = JSON.parse(message); const type = parsedMessage.type; switch (type) { case 'createRoom': const roomId = generateId(); rooms.set(roomId, new Set([clientId])); sendMessage(clientId, { type: 'roomCreated', roomId: roomId }); console.log(`Client ${clientId} created room ${roomId}.`); break; case 'joinRoom': const roomIdToJoin = parsedMessage.roomId; if (rooms.has(roomIdToJoin)) { rooms.get(roomIdToJoin).add(clientId); sendMessage(clientId, { type: 'roomJoined', roomId: roomIdToJoin }); broadcastToRoom(roomIdToJoin, { type: 'clientJoined', clientId: clientId }, clientId); console.log(`Client ${clientId} joined room ${roomIdToJoin}.`); } else { sendMessage(clientId, { type: 'error', message: `Room ${roomIdToJoin} not found.` }); } break; case 'leaveRoom': const roomIdToLeave = parsedMessage.roomId; const roomToLeave = rooms.get(roomIdToLeave); if (roomToLeave && roomToLeave.has(clientId)) { roomToLeave.delete(clientId); sendMessage(clientId, { type: 'roomLeft', roomId: roomIdToLeave }); broadcastToRoom(roomIdToLeave, { type: 'clientLeft', clientId: clientId }, clientId); console.log(`Client ${clientId} left room ${roomIdToLeave}.`); if (roomToLeave.size === 0) { rooms.delete(roomIdToLeave); console.log(`Room ${roomIdToLeave} is now empty and has been removed.`); } } else { sendMessage(clientId, { type: 'error', message: `Client is not in room ${roomIdToLeave}.` }); } break; case 'message': const roomIdForMessage = parsedMessage.roomId; const messageContent = parsedMessage.content; broadcastToRoom(roomIdForMessage, { type: 'message', clientId: clientId, content: messageContent }, clientId); console.log(`Client ${clientId} sent message to room ${roomIdForMessage}: ${messageContent}`); break; case 'ping': // Respond to ping to keep the connection alive sendMessage(clientId, { type: 'pong' }); break; default: console.warn(`Unknown message type: ${type}`); sendMessage(clientId, { type: 'error', message: `Unknown message type: ${type}` }); } } catch (error) { console.error('Error parsing message:', error); sendMessage(clientId, { type: 'error', message: 'Invalid message format.' }); } }); // Handle client disconnection ws.on('close', () => { handleDisconnect(clientId); }); ws.on('error', error => { console.error(`WebSocket error for client ${clientId}:`, error); handleDisconnect(clientId); }); // Send a ping every HEARTBEAT_INTERVAL to keep the connection alive ws.isAlive = true; ws.on('pong', () => { ws.isAlive = true; }); }); // Heartbeat to check for dead connections setInterval(() => { wss.clients.forEach(ws => { if (ws.isAlive === false) { console.log("Terminating connection due to inactivity."); return ws.terminate(); } ws.isAlive = false; ws.ping(() => {}); }); }, HEARTBEAT_INTERVAL); console.log(`WebSocket server started on port ${PORT}`); ``` **Explanation and Key Improvements:** * **Dependencies:** Uses the `ws` package for WebSocket functionality. You'll need to install it: `npm install ws` * **Configuration:** `PORT` and `HEARTBEAT_INTERVAL` are configurable at the top. * **Data Structures:** * `clients`: A `Map` that stores client IDs as keys and their corresponding WebSocket objects as values. This allows you to easily look up a client's WebSocket connection by its ID. * `rooms`: A `Map` that stores room IDs as keys and `Set`s of client IDs as values. Using a `Set` ensures that each client ID appears only once in a room. * **`generateId()`:** A simple function to generate unique client and room IDs. **Important:** For production, use a more robust UUID generation library (e.g., `uuid`). The current implementation is sufficient for basic testing but is not guaranteed to be collision-free in a high-volume environment. * **`sendMessage(clientId, message)`:** A helper function to send a JSON-stringified message to a specific client. Includes error handling to catch potential issues during sending. Also checks if the client is still connected before attempting to send. * **`broadcastToRoom(roomId, message, excludeClientId)`:** A helper function to send a JSON-stringified message to all clients in a room, optionally excluding a specific client. * **`handleDisconnect(clientId)`:** Handles client disconnections gracefully. It removes the client from the `clients` map and from any rooms they were in. It also notifies other clients in the room that the client has left. Critically, it also removes empty rooms. * **WebSocket Server (`wss`)**: * **`connection` event:** Handles new WebSocket connections. * Generates a unique client ID. * Stores the client's WebSocket object in the `clients` map. * Sends the client their ID. * Sets up message handling, close handling, and error handling for the client. * **`message` event:** Handles incoming messages from clients. * Parses the message as JSON. * Uses a `switch` statement to handle different message types: * `createRoom`: Creates a new room and adds the client to it. * `joinRoom`: Adds the client to an existing room. * `leaveRoom`: Removes the client from a room. * `message`: Broadcasts a message to all other clients in the room. * `ping`: Responds to a ping message (for heartbeat). * Includes error handling for JSON parsing and unknown message types. * **`close` event:** Handles client disconnections. * **`error` event:** Handles WebSocket errors. * **Heartbeat (Ping/Pong):** Implements a heartbeat mechanism to detect and close dead connections. This is crucial for maintaining a stable connection with clients, especially in environments with unreliable networks. * A `setInterval` function sends a `ping` message to each client every `HEARTBEAT_INTERVAL`. * The `ws.isAlive` flag is set to `false` before sending the ping. * If the client responds with a `pong` message, the `ws.isAlive` flag is set back to `true`. * If the client doesn't respond within the interval, the connection is terminated. * **Error Handling:** Includes `try...catch` blocks to handle potential errors during message parsing and sending. Also logs errors to the console for debugging. * **Clear Logging:** Logs important events to the console, such as client connections, disconnections, room creation, joining, and leaving. * **Message Types:** Uses a consistent message format with a `type` field to identify the type of message. This makes it easier to handle different types of messages on both the server and the client. **How to Run:** 1. **Save:** Save the code as a `.js` file (e.g., `linkup_server.js`). 2. **Install `ws`:** `npm install ws` 3. **Run:** `node linkup_server.js` **Client-Side Example (Conceptual):** ```javascript // Client-side JavaScript (Conceptual - adapt to your framework) const ws = new WebSocket('ws://localhost:8080'); ws.onopen = () => { console.log('Connected to WebSocket server'); }; ws.onmessage = event => { const message = JSON.parse(event.data); console.log('Received message:', message); switch (message.type) { case 'clientId': console.log('My client ID is:', message.clientId); myClientId = message.clientId; // Store the client ID break; // Handle other message types (roomCreated, roomJoined, message, etc.) } }; ws.onclose = () => { console.log('Disconnected from WebSocket server'); }; ws.onerror = error => { console.error('WebSocket error:', error); }; function sendMessage(type, data) { ws.send(JSON.stringify({ type: type, ...data })); } // Example usage: // To create a room: // sendMessage('createRoom'); // To join a room: // sendMessage('joinRoom', { roomId: 'someRoomId' }); // To send a message to a room: // sendMessage('message', { roomId: 'someRoomId', content: 'Hello, everyone!' }); ``` **Important Considerations for Production:** * **Security:** * **HTTPS:** Use HTTPS (WSS) to encrypt the WebSocket connection. This is essential for protecting sensitive data. * **Authentication:** Implement authentication to verify the identity of clients. This can be done using various methods, such as JWTs or OAuth. * **Authorization:** Implement authorization to control what clients are allowed to do. For example, you might want to restrict access to certain rooms or features based on the client's role. * **Input Validation:** Validate all input from clients to prevent injection attacks. * **Scalability:** * **Load Balancing:** Use a load balancer to distribute traffic across multiple server instances. * **Horizontal Scaling:** Design the server to be horizontally scalable, so you can easily add more instances as needed. * **Message Broker:** Consider using a message broker (e.g., RabbitMQ, Kafka) to handle message distribution, especially if you need to support a large number of concurrent connections. * **Reliability:** * **Monitoring:** Implement monitoring to track the health and performance of the server. * **Logging:** Log all important events to a file or database for debugging and auditing. * **Error Handling:** Implement robust error handling to prevent crashes and ensure that the server can recover from errors gracefully. * **Heartbeats:** The heartbeat mechanism is crucial for detecting and closing dead connections. * **UUIDs:** Use a proper UUID library for generating unique IDs. * **Frameworks:** Consider using a WebSocket framework like Socket.IO or Primus. These frameworks provide higher-level abstractions and features that can simplify development and improve performance. However, for a basic MCP server, the `ws` library is often sufficient. This improved version provides a more robust and complete foundation for building a Linkup MCP server in JavaScript. Remember to adapt the code to your specific needs and requirements. Good luck!

Backlog MCP Server

一个模型上下文协议服务器，使 Claude 能够通过 API 集成与 Backlog 项目管理工具进行交互，从而实现对项目、问题、Wiki 页面和其他 Backlog 资源的管理。

Remote MCP Server (Authless)

Enables deployment of MCP servers on Cloudflare Workers without authentication requirements. Provides a template for creating custom tools that can be accessed remotely via Claude Desktop or the Cloudflare AI Playground.

SQL Server Analysis Services MCP Server by CData

SQL Server Analysis Services MCP Server by CData