Discover Awesome MCP Servers

Octagon VC Agents

An MCP server that runs AI-driven venture capitalist agents whose thinking is continuously enriched by Octagon Private Markets' real-time deals and intelligence for pitch feedback, diligence simulations, and term sheet negotiations.

Twilio MCP

Enables sending SMS text messages through Twilio's messaging service with a simple send_text tool that supports configurable recipients and messaging service integration.

Mcp Cassandra Server

Berikut adalah terjemahan dari "Model Context Protocol for Cassandra database" ke dalam Bahasa Indonesia: **Protokol Konteks Model untuk basis data Cassandra** Atau, bisa juga: **Protokol Konteks Model untuk database Cassandra** Kedua terjemahan tersebut memiliki arti yang sama dan dapat digunakan. Pilihan mana yang lebih baik tergantung pada preferensi pribadi dan konteks penggunaannya.

NervusDB MCP Server

Enables building and querying code knowledge graphs for project analysis, with tools for exploring code relationships, managing workflows, and automating development tasks. Integrates with Git and GitHub for branch management and pull request creation.

MCP Server Boilerplate

A starter template for building Model Context Protocol servers that can integrate with AI assistants like Claude or Cursor, providing custom tools, resource providers, and prompt templates.

sheet-music-mcp

Sebuah Server MCP untuk rendering partitur musik

MCP 만들면서 원리 파헤쳐보기

Okay, here's a breakdown of the server and client implementation for a system conceptually similar to the MCP (Master Control Program) from the movie Tron, but adapted for modern computing. Keep in mind that a real-world MCP would be incredibly complex, so this is a simplified, illustrative example. **Important Considerations Before We Start:** * **Security:** In the Tron universe, the MCP had near-total control. In a real-world system, security is paramount. Any "MCP-like" system should have robust authentication, authorization, and auditing mechanisms to prevent abuse and unauthorized access. * **Abstraction:** The MCP in Tron was a monolithic entity. Modern systems favor modularity and microservices. Think of this as a *distributed* MCP, where different components handle specific tasks. * **Purpose:** What is the *actual* goal of this system? Is it resource management, task scheduling, security enforcement, or something else? The design will heavily depend on the intended purpose. * **Technology Stack:** The choice of programming languages, frameworks, and databases will influence the implementation. I'll provide examples using common technologies like Python (with Flask or FastAPI for the server) and potentially JavaScript (for a web-based client). **Conceptual Architecture** Let's imagine a simplified scenario where the "MCP" is responsible for: 1. **Resource Allocation:** Managing CPU, memory, and network bandwidth for different applications. 2. **Task Scheduling:** Prioritizing and scheduling tasks to optimize system performance. 3. **Monitoring:** Tracking system health and performance metrics. **Server-Side (The "MCP" Core)** * **Language:** Python (Flask or FastAPI) * **Components:** * **API Endpoint (Flask/FastAPI):** Provides a RESTful API for clients to interact with the MCP. Examples: * `/allocate_resource`: Requests resource allocation. * `/submit_task`: Submits a task for scheduling. * `/get_status`: Retrieves system status and resource usage. * `/authenticate`: Handles client authentication. * **Resource Manager:** Tracks available resources and allocates them to applications based on policies. This might involve interacting with the operating system's resource management APIs (e.g., `psutil` in Python). * **Task Scheduler:** Implements a scheduling algorithm (e.g., priority-based, round-robin) to determine the order in which tasks are executed. Could use a task queue like Celery or Redis Queue for asynchronous task processing. * **Monitoring Module:** Collects system metrics (CPU usage, memory usage, network traffic) using tools like `psutil` or system monitoring daemons. Stores the data in a time-series database (e.g., Prometheus, InfluxDB) for analysis and visualization. * **Authentication/Authorization Module:** Handles user authentication (verifying identity) and authorization (determining what actions a user is allowed to perform). Could use libraries like `Flask-Login` or `Authlib` for authentication and role-based access control (RBAC). * **Database (Optional):** Stores configuration data, user accounts, resource allocation information, and task history. Could use a relational database (e.g., PostgreSQL, MySQL) or a NoSQL database (e.g., MongoDB). **Example (Flask - Simplified Resource Allocation Endpoint):** ```python from flask import Flask, request, jsonify import psutil # For system monitoring app = Flask(__name__) # In-memory resource pool (replace with a more robust solution) resource_pool = { "cpu": 8, # Example: 8 CPU cores "memory": 16 * 1024 * 1024 * 1024 # Example: 16 GB of memory (in bytes) } @app.route('/allocate_resource', methods=['POST']) def allocate_resource(): data = request.get_json() resource_type = data.get('resource_type') amount = data.get('amount') if resource_type not in resource_pool: return jsonify({'error': 'Invalid resource type'}), 400 if resource_pool[resource_type] < amount: return jsonify({'error': 'Insufficient resources'}), 400 resource_pool[resource_type] -= amount return jsonify({'message': f'Allocated {amount} of {resource_type}'}), 200 @app.route('/get_status', methods=['GET']) def get_status(): cpu_usage = psutil.cpu_percent(interval=1) memory_usage = psutil.virtual_memory().percent return jsonify({ 'cpu_usage': cpu_usage, 'memory_usage': memory_usage, 'available_cpu': resource_pool['cpu'], 'available_memory': resource_pool['memory'] }) if __name__ == '__main__': app.run(debug=True) ``` **Client-Side** * **Language:** Python (for command-line tools) or JavaScript (for a web-based interface) * **Components:** * **Command-Line Interface (CLI):** A tool that allows users to interact with the MCP from the command line. Uses the `requests` library in Python to make API calls to the server. * **Web Interface (HTML/CSS/JavaScript):** A graphical user interface (GUI) that provides a more user-friendly way to interact with the MCP. Uses JavaScript to make API calls to the server (using `fetch` or `axios`). * **Authentication:** Handles user login and authentication with the MCP server. Stores authentication tokens securely (e.g., using cookies or local storage). * **Data Visualization:** Displays system status, resource usage, and task information in a clear and informative way (e.g., using charts and graphs). Libraries like Chart.js or D3.js can be used for data visualization. **Example (Python CLI Client):** ```python import requests import json SERVER_URL = "http://127.0.0.1:5000" # Replace with your server URL def allocate_resource(resource_type, amount): url = f"{SERVER_URL}/allocate_resource" data = {'resource_type': resource_type, 'amount': amount} headers = {'Content-type': 'application/json'} response = requests.post(url, data=json.dumps(data), headers=headers) if response.status_code == 200: print(response.json()['message']) else: print(f"Error: {response.status_code} - {response.json().get('error', 'Unknown error')}") def get_status(): url = f"{SERVER_URL}/get_status" response = requests.get(url) if response.status_code == 200: status = response.json() print("System Status:") print(f" CPU Usage: {status['cpu_usage']}%") print(f" Memory Usage: {status['memory_usage']}%") print(f" Available CPU: {status['available_cpu']}") print(f" Available Memory: {status['available_memory']}") else: print(f"Error: {response.status_code} - {response.json().get('error', 'Unknown error')}") if __name__ == '__main__': while True: print("\nChoose an action:") print("1. Allocate Resource") print("2. Get Status") print("3. Exit") choice = input("Enter your choice: ") if choice == '1': resource_type = input("Enter resource type (cpu/memory): ") amount = int(input("Enter amount to allocate: ")) allocate_resource(resource_type, amount) elif choice == '2': get_status() elif choice == '3': break else: print("Invalid choice.") ``` **Key Implementation Details:** * **API Design:** Use RESTful principles for the API. Define clear endpoints for each operation (resource allocation, task submission, status retrieval). Use JSON for data exchange. * **Resource Management:** Implement a robust resource management system that tracks available resources and allocates them to applications based on policies. Consider using a resource reservation system to guarantee resources for critical tasks. * **Task Scheduling:** Choose a scheduling algorithm that meets the needs of your system. Consider using a task queue to handle asynchronous task processing. * **Monitoring:** Collect system metrics and store them in a time-series database. Use data visualization tools to display the data in a clear and informative way. * **Security:** Implement robust authentication and authorization mechanisms to prevent unauthorized access. Use encryption to protect sensitive data. Regularly audit the system for security vulnerabilities. * **Error Handling:** Implement proper error handling to gracefully handle unexpected situations. Log errors to a file or database for debugging purposes. * **Scalability:** Design the system to be scalable to handle increasing workloads. Consider using a distributed architecture to distribute the load across multiple servers. **Further Enhancements (Tron-Inspired):** * **Visualization:** Create a 3D visualization of the system's resources and tasks, similar to the Tron grid. Use a graphics library like Three.js or Babylon.js. * **AI/Machine Learning:** Use AI/ML to optimize resource allocation and task scheduling. Train a model to predict resource usage and adjust allocation accordingly. * **Security Protocols:** Implement advanced security protocols that resemble the challenges faced in the Tron universe, such as identity verification and intrusion detection. **Important Considerations for a Real-World "MCP":** * **Operating System Integration:** A true MCP would need deep integration with the operating system to control resources and processes effectively. This would likely require kernel-level programming. * **Hardware Abstraction:** The MCP should be able to manage resources across different types of hardware. This would require a hardware abstraction layer. * **Policy Enforcement:** The MCP should be able to enforce policies related to resource usage, security, and compliance. * **Auditing:** The MCP should log all actions taken, including resource allocations, task submissions, and security events. This is essential for auditing and compliance purposes. This is a high-level overview. The specific implementation details will depend on the specific requirements of your system. Remember to prioritize security, modularity, and scalability when designing your "MCP." Good luck!

NS Lookup MCP Server

Berikut adalah terjemahan dari teks tersebut ke dalam bahasa Indonesia: **Sebuah Server MCP sederhana yang mengekspos fungsionalitas perintah nslookup.** (Atau, bisa juga sedikit lebih formal:) **Server MCP sederhana yang menyediakan fungsionalitas perintah nslookup.** **Penjelasan:** * **MCP Server:** Saya berasumsi "MCP" adalah singkatan dari sesuatu yang spesifik dalam konteks Anda. Jika Anda bisa memberikan konteks lebih lanjut, saya bisa memberikan terjemahan yang lebih akurat. Jika tidak, saya akan membiarkannya sebagai "MCP". * **nslookup command functionality:** "Fungsionalitas perintah nslookup" adalah terjemahan langsung dan paling akurat. Ini berarti server tersebut memungkinkan Anda menggunakan perintah `nslookup` melalui server MCP tersebut.

ProofStream MCP Server

Enables AI agents to dispatch human verifiers for physical world tasks like product authentication, property inspection, and document verification, returning timestamped evidence reports.

GitLab MCP Server

Integrates GitLab with AI assistants to manage merge requests, analyze CI/CD pipelines, and create Architecture Decision Records. It enables seamless code searching, pipeline triggering, and deployment management through the Model Context Protocol.

Terminal Control MCP

Enables AI agents to interact with terminal-based TUI applications by capturing visual terminal output as PNG screenshots and simulating keyboard input through a virtual X11 display.

agoda-review-mcp

I understand you're looking for an MCP (presumably meaning "method, concept, or process") server to find Agoda hotel reviews. However, the term "MCP server" is not commonly used in this context. To clarify, are you looking for: * **A way to scrape or access Agoda hotel reviews programmatically?** This would involve using APIs or web scraping techniques. * **A server that hosts a database of Agoda hotel reviews?** This is less likely, as Agoda typically keeps this data proprietary. * **A method or tool to analyze Agoda hotel reviews?** This could involve sentiment analysis or other text processing techniques. Please provide more details about what you're trying to achieve, and I can give you more specific and helpful information. In the meantime, here are some general approaches you could consider: 1. **Agoda API (if available):** Check if Agoda offers an official API that provides access to review data. This is the most reliable and legal method. 2. **Web Scraping:** You could use web scraping tools (like Beautiful Soup in Python) to extract reviews directly from Agoda's website. However, be aware that this might violate Agoda's terms of service and could be blocked. 3. **Third-Party Review Aggregators:** Some websites aggregate reviews from multiple sources, including Agoda. You might be able to find a server or API that provides access to this aggregated data. 4. **Sentiment Analysis Tools:** Once you have the reviews, you can use sentiment analysis tools (like NLTK or spaCy in Python) to analyze the overall sentiment expressed in the reviews. Once you clarify your needs, I can provide more specific recommendations.

Jokes MCP Server

Provides access to various joke APIs including Chuck Norris jokes, Dad jokes, and Yo Mama jokes. Integrates with Microsoft Copilot Studio to create humor-focused agents that can deliver jokes on demand.

Accessibility Testing MCP

Enables accessibility testing of websites and HTML content using axe-core and IBM Equal Access engines. Supports WCAG compliance checking, multi-viewport testing, and provides detailed violation reports with remediation guidance.

ChatGPT Apps EdgeOne Pages Starter

A minimal MCP server template for deploying to Tencent Cloud EdgeOne Pages using Next.js and edge functions. Demonstrates tool registration and widget rendering with the hello_stat example tool.

easy-mysql-mcp

Enables AI assistants to inspect and query a MySQL database through safe, structured tools, including schema discovery and read-only queries.

Simple MCP Server with upstream auth via local rest endpoint

Kotak pasir untuk membuat prototipe server MCP.

k8s-pilot

A lightweight, centralized control plane server that enables management of multiple Kubernetes clusters simultaneously, supporting context switching and CRUD operations on common Kubernetes resources.

mcp-remote-py

A minimal Python-based proxy that bridges local MCP STDIO clients with remote MCP SSE servers. It enables bidirectional JSON-RPC message passing between standard command-line tools and web-based remote endpoints.

Kastell

Server security auditing (413 checks, 29 categories), production hardening, and fleet management. Supports Hetzner, DigitalOcean, Vultr, and Linode.

Symbol Blockchain MCP Server (REST API tools)

Server MCP Blockchain Symbol. (Alat API REST)

SendGrid MCP Server

Enables comprehensive email marketing and transactional email operations through SendGrid's API v3. Supports contact management, campaign creation, email automation, list management, and email sending with built-in read-only safety mode.

Smartsheet MCP Server

Enables interaction with Smartsheet API to search, retrieve, create, update, and manage sheets, rows, webhooks, sharing permissions, cross-sheet references, and perform bulk operations through the Model Context Protocol.

CData Sync MCP Server

Enables AI assistants to manage CData Sync operations, including data synchronization jobs, connections, and ETL processes through stdio or HTTP transports. It provides tools for executing jobs, monitoring real-time progress via Server-Sent Events, and handling comprehensive workspace configurations.

Gemini Audio MCP

Gemini Audio MCP is a high-performance Model Context Protocol (MCP) server that leverages the power of the Gemini 2.0 Multimodal Live API to generate high-fidelity, environmental soundscapes on-demand.

search-mcp

Enables web search capabilities using DuckDuckGo's free API without requiring authentication or API keys.

Domain Tools (WHOIS + DNS)

Domain Tools (WHOIS + DNS)

Crypto Portfolio MCP

Sebuah server MCP untuk melacak dan mengelola alokasi portofolio mata uang kripto.

DVID MCP Server

MCP server for mostly read-only access to DVID