Discover Awesome MCP Servers

Salesforce MCP Server

Enables AI agents to perform secure Salesforce Lead management operations including CRUD actions, status updates, and idempotent syncing. It features TRD-compliant audit logging and OAuth 2.0 authentication to ensure reliable CRM interactions.

SolaGuard MCP Server

Provides comprehensive Biblical research tools including scripture lookup, interlinear Greek/Hebrew data, and Strong's concordance within a Protestant theological framework. It enables AI applications to perform full-text biblical searches, topical studies, and cross-referencing using authoritative theological data.

MCP Unreal Server

镜子 (jìng zi)

Hound MCP

The dependency bloodhound for AI coding agents. Hound is a free, open-source MCP server that gives AI coding agents a nose for supply chain security. It scans packages for vulnerabilities, checks licenses, inspects dependency trees, and detects typosquatting — with zero API keys, zero config, and zero cost.

Basic MCP Server

A minimal Model Context Protocol server template demonstrating basic implementation of tools, resources, and prompts built with Smithery SDK.

NCBI Literature Search MCP Server

Provides seamless access to over 35 million PubMed scientific articles through natural language queries for research discovery and analysis. It enables tools for advanced searches, retrieving article details, and exploring related research within the life sciences and biomedical fields.

Fusion MCP

A Model Context Protocol server that connects LLMs with Autodesk Fusion, enabling CAD operations through natural language dialogue.

my-mcp

A note management MCP server that enables users to store, retrieve, and summarize personal notes via a custom URI scheme. It provides tools for adding content and prompts for generating brief or detailed summaries of stored information.

Shaka Packager MCP Server

一个 MCP 服务器，集成了 Shaka Packager 和 Claude AI 应用，使 Claude 能够分析、转码和打包视频文件，以便以 HLS 和 DASH 等格式进行流式传输。

Obsidian MCP Server

Allows AI models to interact with Obsidian notes through the Local REST API, enabling creation, reading, updating, searching of notes, and Git-based automatic backups.

EpicMe MCP

An application that demonstrates the future of user interactions through natural language with LLMs, enabling user registration, authentication, and data interaction exclusively via Model Context Protocol (MCP) tools.

vaultpilot-mcp

Self-custodial crypto portfolio and DeFi MCP server. Read balances and positions (Aave, Compound, Morpho, Uniswap V3, Lido, EigenLayer) across Ethereum, Arbitrum, Polygon, and Base, and prepare transactions for approval on a Ledger via WalletConnect.

MCP Beancount Tool

Enables interaction with local Beancount accounting ledgers through structured tools for viewing accounts, balances, and transactions, as well as inserting/removing transactions and answering natural-language questions via BeanQuery. Provides deterministic, validated, and auditable financial data operations with offline-first functionality.

MCP Xcode

Enables AI assistants to build, test, run, and manage Apple platform projects (iOS, macOS, tvOS, watchOS, visionOS) directly through Xcode. Provides comprehensive control over Xcode projects, Swift packages, simulators, and development workflows without leaving your editor.

us-legal-mcp

An MCP server that provides comprehensive US legislation.

Sentry MCP Server

Sentry 的模型上下文协议 (MCP) 服务器

RAGBrain MCP

Connects Claude Desktop to a RAGBrain knowledge base to enable semantic search, document retrieval, and namespace management. It allows users to browse collections, discover documents by topic, and access full text content through natural language.

Fal.ai OpenAI Image MCP Server

Enables text-to-image generation using the fal.ai GPT image-1 API. It provides a tool to generate images with customizable parameters like size, quality, and background settings via natural language prompts.

Vast.ai MCP Server

Enables comprehensive management of Vast.ai GPU cloud instances, including searching for GPU offers, creating and managing instances, executing remote commands via SSH, and monitoring background tasks for ML training workflows.

agent-browser-mcp

Exposes the local agent-browser CLI as MCP tools for browser automation and provides one-command integration with Codex. Enables navigation, interaction, page reading, tab management, and session control through natural language commands.

Google Drive MCP Server

好的，我们来一起创建一个 Google Drive MCP 服务器，首先从 Google Sheets 开始。 (Hǎo de, wǒmen lái yīqǐ chuàngjiàn yī ge Google Drive MCP fúwùqì, shǒuxiān cóng Google Sheets kāishǐ.) Okay, let's create a Google Drive MCP server together, starting with Google Sheets.

lafe-blog MCP Server

Enables creating and managing text notes with a simple note-taking system. Provides tools to create notes, access them via URIs, and generate summaries of all stored notes.

@excalimate/mcp-server

Turn Excalidraw diagrams into keyframe animations. AI-powered creation via MCP, E2E encrypted sharing, export to MP4/WebM/GIF/SVG.

MCP Zoom Recordings

Enables users to list and manage Zoom cloud recordings through the Model Context Protocol. It allows for searching recordings by date and retrieving specific meeting details, including download URLs for video, audio, and transcripts.

Signal MCP

An MCP integration for signal-cli that allows AI agents to send and receive Signal messages, supporting direct messages, group messages, and async message handling.

Mcp-Omega-Brain

AI agent provenance, trust, and auditability layer. VERITAS multi-gate scoring, Cortex approval gates, S.E.A.L. hash-chain audit ledger, and semantic RAG with cryptographic provenance tracking for every decision an agent makes.

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!