Discover Awesome MCP Servers

Luma Events MCP Server

Enables users to search and discover upcoming tech events, conferences, and meetups from Luma (lu.ma) through natural language queries. Built on Cloudflare Workers for fast, global access to tech event data.

MCPizza

An MCP server that allows AI assistants to order Domino's Pizza through an unofficial API, with features for store location, menu browsing, and order management.

README

Ví dụ về máy chủ MCP được triển khai bằng Go:

BolideAI MCP

A comprehensive ModelContextProtocol server that provides AI-powered tools for marketing automation, content generation, research, and project management, integrating with various AI services to streamline workflows for developers and marketers.

Business Central MCP Server

Máy chủ MCP gọn nhẹ để tích hợp liền mạch với Microsoft Dynamics 365 Business Central

MCP Server for Apache Airflow

Provides integration with Apache Airflow's REST API, allowing AI assistants to programmatically interact with Airflow workflows, monitor DAG runs, and manage tasks.

PolarDB-X MCP Server

A Model Context Protocol server that enables AI agents to interact with Alibaba Cloud PolarDB-X databases through SQL queries, database inspection, and schema exploration.

Planka MCP Server

A Model Context Protocol server that enables AI assistants like Claude to interact directly with Planka Kanban boards, allowing automated management of projects, tasks, and workflows through conversational interfaces.

KDB MCP Service

Enables AI agents to interact with KDB+ databases through standardized MCP tools, supporting full CRUD operations, schema introspection, and multi-database connections with connection pooling for efficient time-series and financial data management.

VS Code MCP Button Generator

Generates VS Code installation buttons and markdown badges for MCP servers, supporting both Stable and Insiders versions with configurable inputs and commands.

Coolify MCP Server

An MCP server that enables AI assistants to manage infrastructure, applications, databases, and services through the Coolify PaaS platform.

Clipboard to Supabase MCP Helper

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

You.com MCP Server

MCP server that provides Claude AI assistants with the ability to search the web, get news, and perform research using the You.com API.

MCP SQL Server

A Model Context Protocol server that allows Large Language Models like Claude to execute SQL queries, explore database schemas, and maintain persistent connections to SQL Server databases.

Remote MCP Server

A template for deploying MCP servers on Cloudflare Workers with OAuth authentication and Server-Sent Events transport. Enables remote access to MCP tools from Claude Desktop and other clients over HTTP.

MCP Todo List Manager

Enables natural language todo list management through Claude Desktop with YAML-based persistence. Supports creating, completing, deleting, and listing todo items with automatic timestamp tracking and secure file permissions.

apisetu-mcp-server

Máy chủ API Setu MCP

K8s MCP Server

K8s-mcp-server là một máy chủ Giao thức Ngữ cảnh Mô hình (MCP) cho phép các trợ lý AI như Claude thực thi các lệnh Kubernetes một cách an toàn. Nó cung cấp một cầu nối giữa các mô hình ngôn ngữ và các công cụ CLI Kubernetes thiết yếu bao gồm kubectl, helm, istioctl và argocd, cho phép các hệ thống AI hỗ trợ quản lý cụm, khắc phục sự cố và triển khai.

Octocode MCP

AI-powered code assistant that provides advanced search and discovery capabilities across GitHub and NPM ecosystems, helping users understand code patterns, implementations, and connections between repositories.

Sloot MCP Server

A TypeScript MCP server implementation using Express.js that provides basic tools like echo, time retrieval, and calculator functionality. Features session management, RESTful API endpoints, and Server-Sent Events for streamable communication.

n8n - Secure Workflow Automation for Technical Teams

Nền tảng tự động hóa quy trình làm việc mã nguồn mở (fair-code) với các khả năng AI tích hợp. Kết hợp xây dựng trực quan với mã tùy chỉnh, tự lưu trữ hoặc trên đám mây, hơn 400 tích hợp.

Kali Pentest MCP Server

Provides secure access to penetration testing tools from Kali Linux including nmap, nikto, dirb, wpscan, and sqlmap for educational vulnerability assessment. Operates in a controlled Docker environment with target whitelisting to ensure ethical testing practices.

Agent Interviews

Agent Interviews

OptionsFlow

Một máy chủ Giao thức Bối cảnh Mô hình (Model Context Protocol) cho phép các LLM (Mô hình Ngôn ngữ Lớn) phân tích chuỗi quyền chọn, tính toán các chỉ số Greeks và đánh giá các chiến lược quyền chọn cơ bản thông qua dữ liệu từ Yahoo Finance.

NotePlan MCP Server

A Message Control Protocol server that enables Claude Desktop to interact with NotePlan.co, allowing users to query, search, create, and update notes directly from Claude conversations.

Cortex Context MCP Adapter

Enables integration with Cortex Context services through the Model Context Protocol. Provides authenticated access to CortexGuardAI's context management capabilities for registered users.

MCP demo (DeepSeek as Client's LLM)

Okay, I understand. You want instructions on how to run a Minimal Communication Protocol (MCP) client and server demo using the DeepSeek API. Unfortunately, I need a little more information to give you a precise and helpful answer. Here's why, and what I need to know: **Why I need more information:** * **"MCP" is very generic:** "Minimal Communication Protocol" could refer to many different things. It's not a standardized protocol like HTTP or TCP. It's likely a custom protocol you or someone else has defined. * **DeepSeek API's Role:** The DeepSeek API is primarily known for its large language models (LLMs). It's not immediately clear how it fits into a *communication protocol* demo. Are you intending to use the DeepSeek API to: * **Generate messages for the MCP?** (e.g., the server uses DeepSeek to create responses based on client requests) * **Analyze messages sent over the MCP?** (e.g., the server uses DeepSeek to understand the intent of client requests) * **Something else entirely?** * **Existing Code/Setup:** Do you already have: * MCP client and server code (even if it's basic)? * A DeepSeek API key? * A programming language preference (Python, Node.js, etc.)? **Here's what I need you to tell me so I can provide a useful answer:** 1. **Describe the MCP:** * What is the purpose of this MCP? What kind of data will be exchanged? * What is the message format (e.g., text-based, binary, JSON)? If text-based, what's the structure? * What are the basic commands or message types? 2. **Explain how you want to use the DeepSeek API:** * Specifically, what role will the DeepSeek API play in the client/server interaction? Give a concrete example. 3. **Programming Language:** * What programming language are you using (e.g., Python, Node.js, Go, Java)? 4. **Existing Code (if any):** * Please share any code you already have for the MCP client, server, or DeepSeek API integration. Even snippets are helpful. 5. **DeepSeek API Key:** * Do you have a DeepSeek API key? (You don't need to share the key itself, just confirm you have one). **Example Scenario (and how I would answer *if* this were your scenario):** Let's *imagine* you want to build a simple "Echo Server" MCP where: * **MCP:** * Clients send text messages to the server. * The server *echoes* the message back to the client, but *enhanced* by the DeepSeek API. * Message format: Plain text. * Command: Just send text; no specific commands. * **DeepSeek API:** * The server uses the DeepSeek API to add a humorous or creative "spin" to the echoed message. For example, if the client sends "Hello", the server might respond with "Hello! As a large language model, I'm contractually obligated to say: Have a fantastic day!". * **Language:** Python * **I have a DeepSeek API key.** **Then, I could provide a Python example like this:** ```python import socket import deepseek_client # Assuming you have a DeepSeek client library # Replace with your DeepSeek API key DEEPSEEK_API_KEY = "YOUR_DEEPSEEK_API_KEY" # MCP Server settings HOST = '127.0.0.1' # Standard loopback interface address (localhost) PORT = 65432 # Port to listen on (non-privileged ports are > 1023) def enhance_with_deepseek(message): """Uses the DeepSeek API to enhance the message.""" try: client = deepseek_client.DeepSeekClient(DEEPSEEK_API_KEY) # Replace with your actual client initialization prompt = f"Enhance the following message with a humorous or creative twist: '{message}'" response = client.generate_text(prompt) # Replace with the correct method call return response.text # Assuming the response has a 'text' attribute except Exception as e: print(f"Error using DeepSeek API: {e}") return f"Error: Could not enhance message. Original: {message}" # Fallback def run_server(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Server listening on {HOST}:{PORT}") conn, addr = s.accept() with conn: print(f"Connected by {addr}") while True: data = conn.recv(1024) if not data: break message = data.decode('utf-8') enhanced_message = enhance_with_deepseek(message) conn.sendall(enhanced_message.encode('utf-8')) def run_client(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect((HOST, PORT)) message = input("Enter message to send: ") s.sendall(message.encode('utf-8')) data = s.recv(1024) print(f"Received: {data.decode('utf-8')}") if __name__ == "__main__": import threading server_thread = threading.Thread(target=run_server) server_thread.daemon = True # Allow the main thread to exit even if the server is running server_thread.start() run_client() ``` **Important Notes about the Example:** * **`deepseek_client`:** This is a placeholder. You'll need to install the appropriate DeepSeek API client library for Python (if one exists; otherwise, you'll need to use `requests` or a similar library to make HTTP calls to the DeepSeek API). You'll also need to adapt the `deepseek_client.DeepSeekClient()` and `client.generate_text()` calls to match the actual API usage. Refer to the DeepSeek API documentation for details. * **Error Handling:** The example includes basic error handling for the DeepSeek API call. You should add more robust error handling in a real application. * **Threading:** The server runs in a separate thread so the client and server can run concurrently on the same machine for testing. * **Replace `YOUR_DEEPSEEK_API_KEY`:** You *must* replace this with your actual DeepSeek API key. * **Install `socket`:** This is a built-in Python library, so no installation is needed. **How to Run the Example (after you've adapted it):** 1. **Save:** Save the code as a Python file (e.g., `mcp_deepseek_demo.py`). 2. **Install DeepSeek Client (if applicable):** `pip install deepseek-client` (or whatever the correct package name is). 3. **Run:** Execute the script from your terminal: `python mcp_deepseek_demo.py` 4. **Enter a message:** The client will prompt you to enter a message. Type something and press Enter. 5. **See the response:** The client will display the enhanced message received from the server. **In summary, please provide the details I requested above so I can give you a much more specific and helpful answer.**