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Robot Navigation MCP Server

Enables robot navigation control and monitoring through natural language. Provides tools for robot positioning, navigation to coordinates, device status monitoring, task management, and emergency controls.

MCP Chat with Claude

Okay, here's a TypeScript example for a web app (acting as the host) connecting to a Node.js MCP (Microcontroller Platform) server. This example focuses on the core communication and assumes you have a basic understanding of TypeScript, web development, and Node.js. **Conceptual Overview** 1. **Web App (Host - TypeScript/HTML/JavaScript):** * Uses WebSockets to establish a persistent connection with the MCP server. * Sends commands/data to the MCP server. * Receives data/responses from the MCP server. * Updates the UI based on the received data. 2. **MCP Server (Node.js):** * Listens for WebSocket connections from the web app. * Receives commands/data. * Processes the commands (e.g., interacts with hardware, performs calculations). * Sends responses back to the web app. **Example Code** **1. MCP Server (Node.js - `mcp-server.js` or `mcp-server.ts`)** ```typescript // mcp-server.ts import { WebSocketServer, WebSocket } from 'ws'; const wss = new WebSocketServer({ port: 8080 }); // Choose your port wss.on('connection', ws => { console.log('Client connected'); ws.on('message', message => { try { const data = JSON.parse(message.toString()); // Parse JSON data console.log('Received:', data); // **Process the received data/command here** // Example: if (data.command === 'getSensorData') { // Simulate sensor data const sensorValue = Math.random() * 100; const response = { type: 'sensorData', value: sensorValue }; ws.send(JSON.stringify(response)); } else if (data.command === 'setLed') { // Simulate setting an LED const ledState = data.state; console.log(`Setting LED to: ${ledState}`); const response = { type: 'ledStatus', state: ledState }; ws.send(JSON.stringify(response)); } else { ws.send(JSON.stringify({ type: 'error', message: 'Unknown command' })); } } catch (error) { console.error('Error parsing message:', error); ws.send(JSON.stringify({ type: 'error', message: 'Invalid JSON' })); } }); ws.on('close', () => { console.log('Client disconnected'); }); ws.on('error', error => { console.error('WebSocket error:', error); }); }); console.log('MCP Server started on port 8080'); ``` **To run the server:** 1. **Install `ws`:** `npm install ws` 2. **If using TypeScript:** * Compile: `tsc mcp-server.ts` * Run: `node mcp-server.js` (or `node mcp-server.ts` if you're using `ts-node`) 3. **If using JavaScript (after compiling from TypeScript):** * Run: `node mcp-server.js` **2. Web App (Host - TypeScript/HTML/JavaScript)** * **HTML (`index.html`):** ```html <!DOCTYPE html> <html> <head> <title>MCP Host</title> </head> <body> <h1>MCP Host</h1> <button id="getSensorData">Get Sensor Data</button> <p>Sensor Value: <span id="sensorValue"></span></p> <button id="ledOn">LED On</button> <button id="ledOff">LED Off</button> <p>LED Status: <span id="ledStatus"></span></p> <script src="app.js"></script> </body> </html> ``` * **TypeScript (`app.ts`):** ```typescript // app.ts const socket = new WebSocket('ws://localhost:8080'); // Replace with your server address socket.addEventListener('open', () => { console.log('Connected to MCP Server'); }); socket.addEventListener('message', event => { try { const data = JSON.parse(event.data); console.log('Received:', data); if (data.type === 'sensorData') { const sensorValueElement = document.getElementById('sensorValue'); if (sensorValueElement) { sensorValueElement.textContent = data.value.toFixed(2); } } else if (data.type === 'ledStatus') { const ledStatusElement = document.getElementById('ledStatus'); if (ledStatusElement) { ledStatusElement.textContent = data.state ? 'On' : 'Off'; } } else if (data.type === 'error') { console.error('Error from server:', data.message); alert(`Error: ${data.message}`); // Or display in a more user-friendly way } } catch (error) { console.error('Error parsing message:', error); } }); socket.addEventListener('close', () => { console.log('Disconnected from MCP Server'); }); socket.addEventListener('error', error => { console.error('WebSocket error:', error); }); // Button event listeners document.getElementById('getSensorData')?.addEventListener('click', () => { socket.send(JSON.stringify({ command: 'getSensorData' })); }); document.getElementById('ledOn')?.addEventListener('click', () => { socket.send(JSON.stringify({ command: 'setLed', state: true })); }); document.getElementById('ledOff')?.addEventListener('click', () => { socket.send(JSON.stringify({ command: 'setLed', state: false })); }); ``` * **Compile TypeScript:** `tsc app.ts` * **JavaScript (`app.js` - the compiled output):** (This will be generated by the TypeScript compiler) **How to Run the Web App:** 1. **Serve the HTML:** You'll need a web server to serve the `index.html` file. You can use a simple one like `http-server` (install with `npm install -g http-server` and then run `http-server .` in the directory containing `index.html`). Alternatively, use any web server you prefer (e.g., a more complex Node.js server, Python's `http.server`, etc.). 2. **Open in Browser:** Open `http://localhost:8080` (or the address your web server is using) in your web browser. **Explanation and Key Points** * **WebSockets:** WebSockets provide a persistent, full-duplex communication channel between the web app and the MCP server. This is ideal for real-time data exchange. * **JSON:** JSON (JavaScript Object Notation) is used to serialize and deserialize data being sent over the WebSocket connection. This makes it easy to work with data in both the web app and the Node.js server. * **Error Handling:** The code includes basic error handling to catch potential issues like invalid JSON or WebSocket errors. Robust error handling is crucial in real-world applications. * **Command Structure:** The example uses a simple command structure where the web app sends JSON objects with a `command` property to indicate the desired action. The server then processes the command and sends back a response. * **TypeScript:** TypeScript adds static typing to JavaScript, which helps catch errors early in the development process and improves code maintainability. * **Event Listeners:** The web app uses event listeners to handle WebSocket events like `open`, `message`, `close`, and `error`. * **DOM Manipulation:** The web app updates the HTML elements (e.g., `sensorValue`, `ledStatus`) to display the data received from the MCP server. * **Server-Side Logic:** The MCP server's `message` handler is where you would implement the core logic for interacting with your microcontroller or other hardware. The example provides placeholders for simulating sensor data and LED control. **Important Considerations for Real-World Applications** * **Security:** If you're dealing with sensitive data, use secure WebSockets (WSS) with TLS/SSL encryption. Implement authentication and authorization mechanisms to protect your MCP server from unauthorized access. * **Scalability:** For high-traffic applications, consider using a more scalable WebSocket server implementation (e.g., using a load balancer and multiple server instances). * **Data Validation:** Validate the data received from the web app and the MCP server to prevent unexpected errors or security vulnerabilities. * **Error Handling:** Implement comprehensive error handling and logging to diagnose and resolve issues quickly. * **Reconnect Logic:** Implement automatic reconnect logic in the web app to handle cases where the WebSocket connection is lost. * **State Management:** Consider using a state management library (e.g., Redux, Zustand) in the web app to manage the application's state more effectively, especially as the application grows in complexity. * **Hardware Interaction:** The MCP server will need to use appropriate libraries or APIs to communicate with your specific microcontroller or hardware. This will vary depending on the hardware platform you're using. * **Message Queues:** For more complex systems, consider using a message queue (e.g., RabbitMQ, Kafka) to decouple the web app and the MCP server and improve reliability and scalability. **Chinese Translation of Key Terms** * **Web App:** 网络应用程序 (wǎngluò yìngyòng chéngxù) * **Host:** 主机 (zhǔjī) * **MCP (Microcontroller Platform):** 微控制器平台 (wēi kòngzhìqì píngtái) * **Server:** 服务器 (fúwùqì) * **WebSocket:** WebSocket (pronounced the same) * **Connection:** 连接 (liánjiē) * **Data:** 数据 (shùjù) * **Command:** 命令 (mìnglìng) * **Sensor:** 传感器 (chuángǎnqì) * **LED:** LED (pronounced the same) or 发光二极管 (fāguāng èrjígǔan) * **Error:** 错误 (cuòwù) * **Message:** 消息 (xiāoxi) * **Client:** 客户端 (kèhùduān) * **JSON:** JSON (pronounced the same) * **Port:** 端口 (duānkǒu) This comprehensive example should give you a solid foundation for building a web app that communicates with a Node.js MCP server using WebSockets and TypeScript. Remember to adapt the code to your specific hardware and application requirements. Good luck!

MoluAbi MCP Server

Enables complete AI agent lifecycle management through MoluAbi's platform, allowing users to create, manage, and interact with AI assistants. Provides comprehensive tools for agent operations with secure authentication, usage tracking, and payment integration.

MCP Server Tester

用于模型上下文协议 (MCP) 服务器的自动化测试工具 - 正在进行中

MCP Figma

Enables AI assistants to read and modify Figma designs programmatically, supporting design analysis, element creation, text replacement, annotations, auto-layout configuration, and prototype visualization through natural language commands.

Thoughtspot

Email MCP Server

这是一个用于处理电子邮件通信的 MCP 服务器，支持多种电子邮件协议和功能。

Godot Scene Analyzer

Analyzes Godot game projects to enforce ECS architecture patterns, automatically detecting when scene scripts contain game logic that should be in the ECS layer and validating separation between presentation and logic code.

Stochastic Thinking MCP Server

Provides advanced probabilistic decision-making algorithms including MDPs, MCTS, Multi-Armed Bandits, Bayesian Optimization, and Hidden Markov Models to help AI assistants explore alternative solutions and optimize long-term decisions.

Netlify Express MCP Server

A basic serverless MCP implementation using Netlify Functions and Express. Demonstrates how to deploy and run Model Context Protocol servers in a serverless environment with proper routing configuration.

Remote MCP Server on Cloudflare

Weather MCP Server

Anki MCP Server

A Model Context Protocol server that bridges Claude AI with Anki flashcard app, allowing users to create and manage flashcards using natural language commands.

MCP File Operations Server

Enables secure file management operations within a documents folder, including reading, writing, listing, deleting files and creating directories. Supports all file types with path validation to prevent access outside the designated documents directory.

XHS MCP

Enables interaction with Xiaohongshu (Little Red Book) platform through automated browser operations. Supports authentication, content publishing, search, discovery, and commenting using Puppeteer-based automation.

QGISMCP

一个模型上下文协议服务器，将 Claude AI 连接到 QGIS，从而能够通过自然语言提示直接与 GIS 软件交互，以实现项目创建、图层操作、代码执行和处理算法。

MCP Echo Env

Echoes environment variables (PWD and WORKSPACE_SLUG) to verify that MCP clients properly propagate workspace context to server processes.

NCP MCP Server

Enables conversational management of Naver Cloud Platform infrastructure through Claude Desktop, allowing users to create, query, and manage cloud resources like servers, VPCs, load balancers, and databases using natural language.

Remote MCP Server (Authless)

Deploys a Model Context Protocol server on Cloudflare Workers without authentication requirements, allowing you to create and expose custom AI tools to clients like Claude Desktop or Cloudflare AI Playground.

MCP Server MySQL

Enables LLMs to interact with MySQL databases through standardized protocol, supporting database management, table operations, data queries, and modifications with configurable permission controls.

MCP Server Directory

发现并分享用于人工智能应用、开发和集成的模型上下文协议服务器。

mcp-server-twse

WarpGBM MCP Service

Provides GPU-accelerated gradient boosting model training and inference through a cloud service. Enables AI agents to train models on NVIDIA A10G GPUs and get fast cached predictions with portable model artifacts.

Oracle MCP Server

用于 Oracle 数据库操作的模型上下文协议 (MCP) 服务器实现

MCP Server with Qdrant

Qdrant + mcp-qdrant-server This can be translated in a few ways, depending on the context. Here are a few options: * **Literal Translation (Technical):** Qdrant + mcp-qdrant 服务器 (Qdrant + mcp-qdrant fúwùqì) - This is a direct translation, using "服务器" (fúwùqì) for "server." It's suitable if you're discussing the technical components directly. * **More Descriptive (If needed):** Qdrant 向量数据库 + mcp-qdrant 服务器 (Qdrant xiàngliàng shùjùkù + mcp-qdrant fúwùqì) - This adds "向量数据库" (xiàngliàng shùjùkù), meaning "vector database," to clarify what Qdrant is. This is helpful if the audience might not know Qdrant. * **Simplified (If context is clear):** Qdrant + mcp-qdrant (This is acceptable if the audience already understands that these are software components or services.) **Therefore, the best translation depends on the context and the audience's familiarity with Qdrant.** **Recommendation:** If you're unsure, the most accurate and generally useful translation is: **Qdrant + mcp-qdrant 服务器 (Qdrant + mcp-qdrant fúwùqì)**

MCP SSH Agent

A server that enables secure interaction with remote SSH hosts through standardized MCP interface, providing functions like listing hosts, executing commands, and transferring files using native SSH tools.

DeSo MCP Server

A comprehensive Model Context Protocol server that transforms Cursor's AI assistant into a DeSo blockchain development expert, providing complete API coverage, debugging solutions, and code generation for DeSo applications.

mcp-micromanage

一个用于开发工作流程的微观管理工具：帮助编码代理规划、跟踪和可视化具有详细提交级别粒度的顺序开发任务。具有交互式可视化、自动化状态跟踪和结构化工作流程管理功能。

OpsNow MCP Asset Server

Neil Mcp Server Include Mysql

include: mcp-mysql