Discover Awesome MCP Servers

Google Ad Manager MCP Server

Enables AI assistants to manage Google Ad Manager campaigns, line items, creatives, and advertisers through natural language, automating ad operations that normally require countless clicks through the UI.

oracle-sqlplus-mcp

An MCP server that connects to Oracle databases using sqlplus, enabling SQL queries, schema exploration, and DDL/DML execution through natural language.

Prycd Pricing MCP Server

Enables access to the Prycd Pricing API for retrieving estimated property values and performing health checks on the API service.

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

Basic MCP Server

A minimal Model Context Protocol server demonstrating basic MCP capabilities with example tools, resources, and prompts. Built as a starting template for developers to create their own MCP servers using the Smithery SDK.

Panda Odoo MCP Server

Enables seamless interaction with Odoo instances through the Model Context Protocol, supporting CRUD operations, custom method execution, and real-time updates. It offers versatile communication via stdio and HTTP protocols, including support for streaming and Server-Sent Events.

Agent Data Bridge

An MCP server that provides data bridging from Spring Boot interfaces and a lightweight Python sandbox for script execution. It enables agents to fetch data as Markdown or Parquet files and perform automated data analysis within a controlled environment.

Browser MCP

Automate your browser with AI using an MCP server and Chrome extension, enabling fast, private, and stealthy browser control with your existing sessions.

Production MCP Template

A production-grade, extensible Python template for building Model Context Protocol servers with support for Streamable HTTP and stdio transports. It provides a structured framework for implementing tools, resources, and prompts with built-in authentication, observability, and background task management.

ProxmoxMCP-Plus

Enhanced MCP server for managing Proxmox virtualization platforms with complete VM lifecycle management, LXC container support, and OpenAPI integration. Enables natural language VM creation, power management, and comprehensive cluster monitoring through secure API access.

Workspace ONE UEM MCP Server

Enables AI assistants to interact with VMware Workspace ONE UEM environments for device management, user administration, and system operations. Provides access to 25+ commonly used UEM APIs with support for OAuth2 authentication and bulk operations.

Service Health MCP Server

A professional-grade MCP server that enables AI assistants to monitor web services, APIs, and HTTP endpoints with enterprise-level security.

gqai

gqai

AstrBot MCP

Provides operational control and automation tools for AstrBot developers, enabling plugin debugging, configuration management, message sending, log monitoring, and bot restart capabilities through AI agents.

MCP Observer Server

A file monitoring server that tracks filesystem events and provides real-time notifications to AI assistants, enabling them to automatically respond to file changes without manual updates.

Amp MCP

Provides developer-focused documentation and tools for building applications on Amp, a high-performance blockchain ETL system. Includes guides, schemas, code examples, and troubleshooting resources for querying and transforming blockchain data.

Refero MCP

Enables searching the Refero design catalog in plain English and generates DESIGN.md files for any project.

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.

Desmos MCP Server

Enables mathematical formula visualization and analysis through interactive plotting, formula validation, and symbolic computation. Supports both Desmos API integration and local matplotlib rendering for creating 2D mathematical graphs.

Feishu MCP Server

Enables Claude to read and interact with Feishu (Lark) documents, spreadsheets, and multi-dimensional tables. It provides tools for extracting content and metadata from various Feishu resources through secure OAuth or tenant-level authentication.

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。

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.

Google Maps MCP Server for Cloud Run

Provides Google Maps functionality through Cloud Run, enabling route calculation, traffic analysis, route comparison, and trip cost estimation with rate-limited public access.

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!

ssyubix-agentlink

Cross-device communication between AI agents over the public internet

genesys-memory

Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools including store, recall, search, traverse, and explain.

Daemon-MCP

Daem0n-MCP provides AI agents with persistent, semantically indexed memory to track decisions, rules, and outcomes across sessions. It actively prevents repetitive mistakes by enforcing context checks and prioritizing information about past failures during recall. Best for Claude Code.

Tickory MCP Server

Scheduled scans across all Binance spot and perpetual pairs using CEL rules (RSI, volume, MAs, price action). Runs server-side 24/7, fires webhooks on match, with delivery proof and alert explainability.