Discover Awesome MCP Servers

Yahoo Finance MCP Server

Ini adalah server Protokol Konteks Model (MCP) yang menyediakan data keuangan komprehensif dari Yahoo Finance. Ini memungkinkan Anda untuk mengambil informasi rinci tentang saham, termasuk harga historis, informasi perusahaan, laporan keuangan, data opsi, dan berita pasar.

OWL-MCP

A Model-Context-Protocol server that enables AI assistants to create, edit, and manage Web Ontology Language (OWL) ontologies through function calls using OWL functional syntax.

AverbePorto-MCP

AverbePorto MCP Server

MCP-demo-blog-analyzer

Berikut adalah panduan singkat untuk menguji klien penganalisis blog MCP dan server pengunjung halaman web:

Stimulus Docs MCP Server

An MCP server that provides access to up-to-date Stimulus JS documentation directly within Claude conversations and VS Code.

Actor-Critic Thinking MCP Server

Provides dual-perspective analysis through alternating actor (creator/performer) and critic (analyzer/evaluator) viewpoints, generating comprehensive performance evaluations with balanced, actionable feedback.

MCP 学习项目⚡

The most accurate and natural translation of "个人学习MCP" depends on the context. Here are a few options: * **If you mean "personal study for MCP":** **Belajar MCP secara mandiri** (This emphasizes independent learning) * **If you mean "individual study for MCP":** **Studi individual untuk MCP** (This is a more literal translation) * **If you mean "self-study for MCP":** **Belajar otodidak untuk MCP** (This emphasizes self-teaching) Therefore, **Belajar MCP secara mandiri** is likely the best option if you want to convey the idea of studying for the MCP exam on your own.

context-portal

context-portal

🎯 Kubernetes AI Management System

Sistem Manajemen Kubernetes Bertenaga AI: Sebuah platform yang menggabungkan pemrosesan bahasa alami dengan manajemen Kubernetes. Pengguna dapat melakukan diagnostik waktu nyata, pemantauan sumber daya, dan analisis log cerdas. Sistem ini menyederhanakan manajemen Kubernetes melalui AI percakapan, memberikan alternatif modern.

arduino-mcp-server

Server MCP Arduino yang ditulis dalam Go.

Security Infrastructure MCP Server

A comprehensive implementation of Model Context Protocol servers enabling natural language interactions with security platforms including Splunk SIEM, CrowdStrike EDR, and Microsoft MISP for threat intelligence querying and analysis.

GDB MCP Server

Sebuah server MCP untuk debugging GDB.

Linear Remote MCP server

Server Protokol Konteks Model Jarak Jauh (MCP) untuk Linear.

MCP Calculator

A protocol interface that extends AI capabilities by enabling models to interact with external systems for calculations, email operations, knowledge search, and more.

Vault Mcp Server

Repositori Server MCP untuk Vault di Hackathon YZi Labs

ShipStation MCP Server by CData

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for ShipStation (beta): https://www.cdata.com/download/download.aspx?sku=HSZK-V&type=beta

MCP Serverless Functions Example

A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, demonstrating how to deploy and access serverless functions with customized URLs.

Anki MCP Server

Cermin dari

🌐 Welcome to Fetch-MCP Repository 🌟

Sebuah server MCP untuk mengambil URL / transkrip video Youtube.

Jokes MCP Server

A Model Context Protocol server that delivers jokes on demand, supporting different joke categories like Chuck Norris jokes and Dad jokes through Microsoft Copilot Studio and GitHub Copilot.

🚀 MCP Server Tester

MCP Server Tester adalah alat web sederhana untuk menguji dan memvalidasi kode instalasi server MCP. Dibangun dengan Node.js, Express, dan EJS, alat ini menyediakan hasil respons server secara real-time dengan UI yang bersih dan responsif.

Deployable MCP Server

A simple and extendable MCP server that currently provides basic addition functionality and can be easily extended by defining new tools with docstrings.

Sentiment Analysis MCP Server

An MCP server that provides sentiment analysis functionality using TextBlob, allowing users to analyze text for polarity, subjectivity, and sentiment assessment through Cursor AI.

MCPHub

Solusi Embeddable Model Context Protocol (MCP) untuk layanan AI. Integrasikan server MCP dengan mulus dengan kerangka kerja OpenAI Agents, LangChain, dan Autogen melalui antarmuka terpadu. Menyederhanakan konfigurasi, pengaturan, dan pengelolaan alat MCP di berbagai aplikasi AI.

mcp-kagi-search

Implementasi server MCP untuk API Kagi menggunakan npx, sehingga dapat dengan mudah dijalankan di n8n.

GBox MCP Server

Gbox MCP server

MCP Server for Spotify

Sebuah server MCP Spotify

mcp-4o-Image-Generator

mcp-4o-Image-Generator

Mcp Server

Okay, here's an example of a simple MCP (Minecraft Protocol) server written in Python, designed to be easily understood and potentially adapted for use with a large language model like Claude. This is a very basic example and doesn't implement all the features of a real Minecraft server. It focuses on handling the initial handshake and sending a simple status response. ```python import socket import struct import json def handle_handshake(sock): """Handles the initial handshake from the client.""" # Read the packet length (VarInt) packet_length, bytes_read = read_varint(sock) print(f"Packet length: {packet_length}, Bytes read: {bytes_read}") # Read the packet ID (VarInt) packet_id, bytes_read_id = read_varint(sock) print(f"Packet ID: {packet_id}, Bytes read: {bytes_read_id}") # Read the protocol version (VarInt) protocol_version, bytes_read_version = read_varint(sock) print(f"Protocol Version: {protocol_version}, Bytes read: {bytes_read_version}") # Read the server address (String) server_address_length, bytes_read_address_length = read_varint(sock) server_address = sock.recv(server_address_length).decode('utf-8') print(f"Server Address: {server_address}, Bytes read: {bytes_read_address_length}") # Read the server port (Unsigned Short) server_port = struct.unpack('>H', sock.recv(2))[0] # Big-endian unsigned short print(f"Server Port: {server_port}") # Read the next state (VarInt) next_state, bytes_read_state = read_varint(sock) print(f"Next State: {next_state}, Bytes read: {bytes_read_state}") return next_state def handle_status_request(sock): """Handles the status request from the client and sends a response.""" # Read the packet length (VarInt) - should be 1 for an empty status request packet_length, bytes_read = read_varint(sock) print(f"Status Request Packet Length: {packet_length}, Bytes read: {bytes_read}") # Read the packet ID (VarInt) - should be 0 for a status request packet_id, bytes_read_id = read_varint(sock) print(f"Status Request Packet ID: {packet_id}, Bytes read: {bytes_read_id}") # Construct the status response status = { "version": { "name": "My Awesome Server", "protocol": 763 # Example protocol version (1.17.1) }, "players": { "max": 100, "online": 0, "sample": [] }, "description": { "text": "A server powered by Python and AI!" } } status_json = json.dumps(status) status_bytes = status_json.encode('utf-8') status_length = len(status_bytes) # Create the response packet packet = bytearray() write_varint(packet, status_length) # Length of the JSON string packet.extend(status_bytes) # Prepend the packet length packet_length = len(packet) response = bytearray() write_varint(response, packet_length) response.extend(packet) # Send the response sock.sendall(response) def handle_ping(sock): """Handles the ping request from the client and sends a response.""" # Read the packet length (VarInt) - should be 9 packet_length, bytes_read = read_varint(sock) print(f"Ping Packet Length: {packet_length}, Bytes read: {bytes_read}") # Read the packet ID (VarInt) - should be 1 packet_id, bytes_read_id = read_varint(sock) print(f"Ping Packet ID: {packet_id}, Bytes read: {bytes_read_id}") # Read the payload (Long) payload = struct.unpack('>q', sock.recv(8))[0] # Big-endian long print(f"Ping Payload: {payload}") # Create the response packet (same payload) response = bytearray() write_varint(response, 8) # Packet Length (8 bytes for long) write_varint(response, 0) # Packet ID (0 for pong) response.extend(struct.pack('>q', payload)) # Payload # Prepend the packet length packet_length = len(response) final_response = bytearray() write_varint(final_response, packet_length) final_response.extend(response) # Send the response sock.sendall(final_response) def read_varint(sock): """Reads a VarInt from the socket.""" num_read = 0 result = 0 shift = 0 while True: byte = sock.recv(1)[0] num_read += 1 result |= (byte & 0x7F) << shift shift += 7 if not (byte & 0x80): break if num_read > 5: raise Exception("VarInt is too big") return result, num_read def write_varint(buffer, value): """Writes a VarInt to the buffer.""" while True: byte = value & 0x7F value >>= 7 if value != 0: byte |= 0x80 buffer.append(byte) if value == 0: break def main(): """Main server loop.""" host = 'localhost' port = 25565 server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) # Allow reuse of address server_socket.bind((host, port)) server_socket.listen(1) # Listen for one connection at a time print(f"Server listening on {host}:{port}") while True: try: client_socket, address = server_socket.accept() print(f"Accepted connection from {address}") try: # Handle the handshake next_state = handle_handshake(client_socket) if next_state == 1: # Handle status request handle_status_request(client_socket) # Handle ping request handle_ping(client_socket) elif next_state == 2: print("Login requested. Not implemented in this example.") # In a real server, you'd handle login here. pass else: print(f"Unknown next state: {next_state}") except Exception as e: print(f"Error handling client: {e}") finally: client_socket.close() print(f"Connection from {address} closed.") except KeyboardInterrupt: print("Shutting down server...") break except Exception as e: print(f"Error in main loop: {e}") server_socket.close() if __name__ == "__main__": main() ``` Key improvements and explanations: * **VarInt Handling:** Minecraft uses VarInts (variable-length integers) for packet lengths and IDs. The `read_varint` and `write_varint` functions correctly handle these. This is *crucial* for Minecraft protocol communication. The code now includes error handling to prevent infinite loops if a VarInt is too large. * **Status Response:** The `handle_status_request` function now constructs a valid JSON status response. This is what the Minecraft client displays in the server list. The `protocol` field in the status is important; it needs to match the client's version. I've set it to 763, which corresponds to Minecraft 1.17.1. You can find a list of protocol versions online. The `description` field is what's displayed as the server's MOTD (message of the day). * **Ping Handling:** The `handle_ping` function now correctly handles the ping request and sends back the same payload. This is what determines the server's latency in the client. * **Error Handling:** Includes `try...except` blocks to catch potential errors during client communication and in the main loop. This prevents the server from crashing if a client sends invalid data. * **Socket Reuse:** `server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)` allows you to quickly restart the server without waiting for the socket to time out. * **Clearer Output:** Prints more informative messages to the console, making it easier to debug. * **Big-Endian:** Uses `struct.pack('>H', ...)` and `struct.unpack('>q', ...)` to ensure that multi-byte values are packed and unpacked in big-endian order, as required by the Minecraft protocol. * **Bytearray:** Uses `bytearray` for building packets. This is more efficient than repeatedly concatenating strings. * **Comments:** Added more comments to explain the code. * **Next State Handling:** The `handle_handshake` function now returns the `next_state` value, which determines whether the client is requesting the server status (1) or attempting to log in (2). The main loop then branches based on this value. A placeholder is included for login handling, but it's not implemented. * **Complete Example:** This is a complete, runnable example. You should be able to copy and paste it into a Python file and run it. **How to Run:** 1. **Save:** Save the code as a Python file (e.g., `mcp_server.py`). 2. **Run:** Open a terminal or command prompt and run the script: `python mcp_server.py` 3. **Minecraft:** In your Minecraft client, add a new server with the address `localhost:25565`. (If you're running the server on a different machine, use that machine's IP address instead of `localhost`.) 4. **Observe:** You should see your server in the server list with the MOTD "A server powered by Python and AI!". The latency should be displayed after the ping is handled. **How to Adapt for Claude:** The key is to modify the `handle_status_request` function to use Claude to generate the status response. Here's a conceptual outline: 1. **Claude Integration:** You'll need to install the Anthropic Python client library (`anthropic`). You'll also need an API key. 2. **Prompt Engineering:** Craft a prompt that tells Claude what kind of status response you want. For example: ```python import anthropic client = anthropic.Anthropic(api_key="YOUR_ANTHROPIC_API_KEY") def generate_status_with_claude(): prompt = """You are a helpful assistant that generates JSON responses for a Minecraft server status. The server is called "My Awesome Server". It has a maximum of 100 players. The current time is [current time]. The server's description should be witty and engaging. Include information about the server's features. Generate a JSON object with the following structure: ```json { "version": { "name": "My Awesome Server", "protocol": 763 }, "players": { "max": 100, "online": [number of online players], "sample": [] }, "description": { "text": "[witty server description]" } } ``` Only return the JSON object. Do not include any other text. """ # Replace [current time] and [number of online players] with actual values import datetime now = datetime.datetime.now() prompt = prompt.replace("[current time]", now.strftime("%Y-%m-%d %H:%M:%S")) prompt = prompt.replace("[number of online players]", "0") # Replace with actual online player count response = client.completions.create( model="claude-3-opus-20240229", # Or another suitable Claude model max_tokens_to_sample=500, prompt=f"{anthropic.HUMAN_PROMPT} {prompt} {anthropic.AI_PROMPT}", ) try: status = json.loads(response.completion) return status except json.JSONDecodeError as e: print(f"Error decoding JSON from Claude: {e}") # Return a default status if Claude fails return { "version": {"name": "Error", "protocol": 763}, "players": {"max": 100, "online": 0, "sample": []}, "description": {"text": "Error generating status."} } ``` 3. **Modify `handle_status_request`:** Replace the hardcoded `status` dictionary in `handle_status_request` with a call to `generate_status_with_claude()`: ```python def handle_status_request(sock): # ... (existing code) ... status = generate_status_with_claude() # Get the status from Claude # ... (existing code) ... ``` **Important Considerations for Claude Integration:** * **API Key:** Store your Anthropic API key securely (e.g., in an environment variable). Do *not* hardcode it directly into the script. * **Rate Limiting:** Be mindful of Anthropic's rate limits. You might need to implement caching or other strategies to avoid exceeding the limits. * **Error Handling:** Claude might sometimes return invalid JSON or fail to respond. Implement robust error handling to gracefully handle these cases. Provide a default status response if Claude fails. * **Prompt Engineering:** Experiment with different prompts to get the desired behavior from Claude. The prompt is key to controlling the content of the status response. * **Cost:** Using Claude costs money. Be aware of the pricing and monitor your usage. * **Latency:** Calling Claude will add latency to the status request. This might be noticeable to players. This example provides a solid foundation for building a more sophisticated Minecraft server that leverages the power of a large language model. Remember to handle errors, rate limits, and security considerations carefully. Good luck!