发现优秀的 MCP 服务器
通过 MCP 服务器扩展您的代理能力,拥有 16,320 个能力。
Git Spice Help MCP Server
一个模型上下文协议服务器,与 Cursor IDE 集成,提供实时的 git-spice 文档搜索功能。
Kubernetes MCP Server
Enables interactive Kubernetes cluster monitoring and troubleshooting through natural language queries. Users can diagnose pod issues, check service status, and investigate cluster problems using conversational AI.
mcp-server-pdfme
MCP News Scraper
A Model Control Protocol server that provides news scraping capabilities for Khaleej Times, allowing users to fetch headlines and full article content programmatically.
GitHub Actions MCP Server
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Figma to React Native MCP
将 Figma 设计稿转换为 React Native 组件,允许用户从 Figma 设计稿中提取组件,并生成具有正确类型和样式的相应 React Native 组件。
Telegram MCP Server
Linear MCP Server
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Bar Assistant MCP Server
Enables intelligent cocktail discovery and recipe retrieval from Bar Assistant instances with natural language search, similarity matching, batch processing, and ingredient analysis capabilities.
Kie.ai MCP Server
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Parliament MCP Server
An MCP server that provides tools for parliamentary research by allowing users to search constituencies, elections, members, government posts, debates, and Hansard records, with additional semantic search capabilities over parliamentary data.
MCP Ansible Server
Enables comprehensive Ansible automation management through natural language, including playbook creation and execution, inventory management, role scaffolding, and project workflows. Supports both local inventories and full project lifecycle management with syntax validation and idempotency testing.
Typecast API MCP Server
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first-mcp-server
Raygun MCP Server
镜子 (jìng zi)
tinypng-mcp-server
使用 MCP 通过 TinyPNG
Frappe MCP Server
一个实现了 Anthropic 模型控制协议 (MCP) 服务器,用于访问 Frappe 的服务器。
Multichain MCP Server 🌐
一个连接所有 MCP 服务器的 MCP 服务器路由中心
Boilerplate MCP Server
A foundation for developing custom Model Context Protocol servers in TypeScript that connects AI assistants with external APIs and data sources using a complete layered architecture pattern.
Bing Search MCP Server
一个模型上下文协议服务器,它与微软必应搜索 API 集成,允许 AI 助手执行网页、新闻和图像搜索。
DeepLucid3D UCPF Server
一个MCP服务器,它实现了统一认知处理框架,通过结构化的工具来进行知识绘图、递归提问和视角生成,从而实现高级的问题解决、创造性思维和认知分析。
Korea Tour MCP Server
韩国旅游信息 MCP 服务器
Excel Reader Server
镜子 (jìng zi)
SystemPrompt MCP Server
这个基于 TypeScript 的服务器实现了一个简单的笔记系统,允许用户创建和管理文本笔记并生成摘要,展示了核心 MCP 概念。
IssueBadge MCP Server
A Model Context Protocol server that enables AI assistants to create, issue, and manage digital badges and certificates using natural language.
Awesome MCP Servers
很棒的 MCP 服务器 - 一个精选的模型上下文协议服务器列表
Spotify-Agent
Okay, this is a complex project, and I can't provide you with a complete, ready-to-run MCP (Minecraft Protocol) server implementation here. Building a full MCP server with Spotify, Last.fm, and internet integration for music recommendations requires significant coding effort and knowledge of several technologies. However, I can give you a detailed outline, code snippets (in Python, as it's commonly used for these tasks), and guidance to get you started. **I. Project Overview** The goal is to create an MCP server plugin (or a standalone server that interacts with a Minecraft server) that: 1. **Connects to Spotify and Last.fm APIs:** Retrieves user listening history, track information, artist information, and similar artist data. 2. **Interacts with the Internet (e.g., for Lyrics):** Fetches lyrics for songs. 3. **Stores and Processes Music Data:** Creates a database or data structure to store user preferences, track information, and recommendation data. 4. **Provides Minecraft Commands:** Allows players to request recommendations, view their listening history, and interact with the music system within the game. 5. **Delivers Recommendations:** Generates music recommendations based on user data and similarity algorithms. **II. Technology Stack** * **Minecraft Server:** You'll need a Minecraft server (e.g., Spigot, Paper, Fabric). Choose one you're comfortable with. * **MCP Server Library/Framework:** Choose a library that simplifies MCP server development. Popular options include: * **Python:** `mcstatus`, `nbt`, `minecraft-protocol` (for lower-level control) * **Java:** Spigot API, Paper API (if you're building a plugin) * **Programming Language:** Python or Java are good choices. Python is often preferred for scripting and API interactions. * **Spotify API:** Use the Spotify Web API (requires a Spotify Developer account). * **Last.fm API:** Use the Last.fm API (requires a Last.fm API key). * **Lyrics API (Optional):** Consider using a lyrics API like Lyrics.ovh or Musixmatch API. * **Database (Optional):** Consider using a database (e.g., SQLite, MySQL, PostgreSQL) to store user data and music information. SQLite is a good choice for smaller projects. * **Recommendation Algorithm:** Implement a recommendation algorithm (e.g., collaborative filtering, content-based filtering, hybrid approach). **III. Detailed Steps and Code Snippets (Python Example)** **1. Setting up the MCP Server (Python)** ```python import socket import struct import json import threading # Configuration HOST = 'localhost' PORT = 25565 # Default Minecraft port def handle_client(conn, addr): print(f"Connected by {addr}") try: # Handshake data = conn.recv(256) packet_length = struct.unpack('>i', data[:4])[0] packet_id = struct.unpack('>b', data[4:5])[0] if packet_id == 0x00: # Handshake packet handshake_data = json.loads(data[5:].decode('utf-8')) print(f"Handshake data: {handshake_data}") # Status Request data = conn.recv(256) packet_length = struct.unpack('>i', data[:4])[0] packet_id = struct.unpack('>b', data[4:5])[0] if packet_id == 0x00: # Status Request # Respond with server status status = { "version": { "name": "My Music Server", "protocol": 754 # Example protocol version }, "players": { "max": 100, "online": 0, "sample": [] }, "description": { "text": "A server for music recommendations!" } } status_json = json.dumps(status) status_bytes = status_json.encode('utf-8') status_length = len(status_bytes) response = struct.pack('>i', status_length + 1) + struct.pack('>b', 0x00) + status_bytes conn.sendall(response) # Ping Request data = conn.recv(256) packet_length = struct.unpack('>i', data[:4])[0] packet_id = struct.unpack('>b', data[4:5])[0] if packet_id == 0x01: # Ping Request ping_payload = data[5:] response = struct.pack('>i', len(ping_payload) + 1) + struct.pack('>b', 0x01) + ping_payload conn.sendall(response) except Exception as e: print(f"Error handling client: {e}") finally: conn.close() print(f"Connection closed with {addr}") def start_server(): server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) # Allow reuse of the address server_socket.bind((HOST, PORT)) server_socket.listen(5) print(f"Server listening on {HOST}:{PORT}") while True: conn, addr = server_socket.accept() client_thread = threading.Thread(target=handle_client, args=(conn, addr)) client_thread.start() if __name__ == "__main__": start_server() ``` **Explanation:** * **`socket`:** Creates a socket for network communication. * **`struct`:** Packs and unpacks data in binary format (required for the Minecraft protocol). * **`json`:** Handles JSON data for the server status. * **`threading`:** Allows handling multiple client connections concurrently. * **`handle_client`:** This function handles the communication with a single Minecraft client. It receives the handshake, status request, and ping request, and sends back the appropriate responses. * **`start_server`:** Sets up the server socket and listens for incoming connections. **Important:** This is a *very* basic MCP server. It only handles the handshake, status request, and ping request. You'll need to implement the full Minecraft protocol to handle player login, chat messages, commands, and other game events. **2. Integrating with Spotify and Last.fm APIs** ```python import spotipy from spotipy.oauth2 import SpotifyClientCredentials import pylast # Spotify API Credentials (replace with your own) SPOTIPY_CLIENT_ID = "YOUR_SPOTIFY_CLIENT_ID" SPOTIPY_CLIENT_SECRET = "YOUR_SPOTIFY_CLIENT_SECRET" # Last.fm API Credentials (replace with your own) LASTFM_API_KEY = "YOUR_LASTFM_API_KEY" LASTFM_API_SECRET = "YOUR_LASTFM_API_SECRET" # Initialize Spotify client client_credentials_manager = SpotifyClientCredentials(client_id=SPOTIPY_CLIENT_ID, client_secret=SPOTIPY_CLIENT_SECRET) sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager) # Initialize Last.fm network network = pylast.LastFMNetwork( api_key=LASTFM_API_KEY, api_secret=LASTFM_API_SECRET, username="YOUR_LASTFM_USERNAME" # Replace with a Last.fm username for testing ) def get_spotify_track_info(track_name, artist_name): """Searches Spotify for a track and returns track information.""" query = f"track:{track_name} artist:{artist_name}" results = sp.search(q=query, type='track', limit=1) if results['tracks']['items']: track = results['tracks']['items'][0] return { 'id': track['id'], 'name': track['name'], 'artist': track['artists'][0]['name'], 'album': track['album']['name'], 'popularity': track['popularity'], 'uri': track['uri'] } else: return None def get_lastfm_recent_tracks(username): """Gets the recent tracks played by a Last.fm user.""" user = network.get_user(username) recent_tracks = user.get_recent_tracks(limit=10) # Get the last 10 tracks tracks = [] for item in recent_tracks: track = item.track tracks.append({ 'artist': track.artist.name, 'title': track.title }) return tracks # Example usage if __name__ == "__main__": # Spotify Example track_info = get_spotify_track_info("Bohemian Rhapsody", "Queen") if track_info: print("Spotify Track Info:", track_info) else: print("Track not found on Spotify.") # Last.fm Example recent_tracks = get_lastfm_recent_tracks("YOUR_LASTFM_USERNAME") # Replace with your Last.fm username print("\nLast.fm Recent Tracks:") for track in recent_tracks: print(f"- {track['artist']} - {track['title']}") ``` **Explanation:** * **`spotipy`:** The Spotify API library. You'll need to install it: `pip install spotipy` * **`pylast`:** The Last.fm API library. You'll need to install it: `pip install pylast` * **API Credentials:** You *must* replace the placeholder credentials with your own API keys and secrets from the Spotify Developer Dashboard and the Last.fm API page. * **`get_spotify_track_info`:** Searches Spotify for a track and returns information like ID, name, artist, album, and popularity. * **`get_lastfm_recent_tracks`:** Gets the recent tracks played by a Last.fm user. **3. Handling Minecraft Commands** You'll need to integrate your music functionality with Minecraft commands. The specific way to do this depends on the MCP server library you're using. Here's a general outline: * **Command Registration:** Register a new command (e.g., `/musicrecommend`, `/mylistenhistory`). * **Command Parsing:** Parse the arguments provided with the command. * **Command Execution:** Execute the appropriate music-related function based on the command and arguments. * **Response to Player:** Send a message back to the player in the Minecraft chat window with the results (e.g., the recommended songs, their listening history). **Example (Conceptual - using a hypothetical MCP library):** ```python # Hypothetical MCP library functions def register_command(command_name, command_handler): # Registers a command with the server pass def send_message_to_player(player_name, message): # Sends a message to a player in the game pass def handle_music_recommend_command(player_name, args): # Get the player's Last.fm username (from a database or configuration) lastfm_username = get_player_lastfm_username(player_name) if not lastfm_username: send_message_to_player(player_name, "Please link your Last.fm account first.") return # Get the player's recent tracks from Last.fm recent_tracks = get_lastfm_recent_tracks(lastfm_username) # Generate recommendations (implementation details omitted) recommendations = generate_recommendations(recent_tracks) # Format the recommendations into a message message = "Recommended Songs:\n" for track in recommendations: message += f"- {track['artist']} - {track['title']}\n" # Send the recommendations to the player send_message_to_player(player_name, message) def get_player_lastfm_username(player_name): # This function would retrieve the Last.fm username associated with the player # from a database or configuration file. # For example: # player_data = database.get_player_data(player_name) # return player_data.get('lastfm_username') return "YOUR_LASTFM_USERNAME" # Replace with your Last.fm username for testing # Register the command register_command("musicrecommend", handle_music_recommend_command) ``` **4. Recommendation Algorithm** This is the most complex part. Here are some approaches: * **Collaborative Filtering:** Find users with similar listening habits and recommend songs they like that the current user hasn't heard. Requires a database of user listening data. * **Content-Based Filtering:** Analyze the characteristics of the songs the user likes (e.g., genre, tempo, mood) and recommend songs with similar characteristics. You can use the Spotify API to get track features. * **Hybrid Approach:** Combine collaborative and content-based filtering for better results. **Example (Simplified Content-Based Filtering):** ```python def generate_recommendations(recent_tracks): """Generates recommendations based on recent tracks.""" recommendations = [] for track in recent_tracks: # Get Spotify track info track_info = get_spotify_track_info(track['title'], track['artist']) if track_info: # Get similar artists from Spotify artist_id = sp.artist(track_info['uri'].split(':')[2])['artists'][0]['id'] related_artists = sp.artist_related_artists(artist_id)['artists'] # Get top tracks from related artists for artist in related_artists[:3]: # Limit to 3 related artists top_tracks = sp.artist_top_tracks(artist['id'])['tracks'][:2] # Limit to 2 tracks for top_track in top_tracks: recommendations.append({ 'artist': top_track['artists'][0]['name'], 'title': top_track['name'] }) return recommendations ``` **5. Database (Optional)** If you want to store user data (e.g., Last.fm usernames, listening history), you'll need a database. SQLite is a good choice for smaller projects. ```python import sqlite3 # Database setup conn = sqlite3.connect('music_server.db') cursor = conn.cursor() # Create a table to store player data cursor.execute(''' CREATE TABLE IF NOT EXISTS players ( player_name TEXT PRIMARY KEY, lastfm_username TEXT ) ''') conn.commit() def set_player_lastfm_username(player_name, lastfm_username): """Sets the Last.fm username for a player in the database.""" cursor.execute("INSERT OR REPLACE INTO players (player_name, lastfm_username) VALUES (?, ?)", (player_name, lastfm_username)) conn.commit() def get_player_lastfm_username(player_name): """Gets the Last.fm username for a player from the database.""" cursor.execute("SELECT lastfm_username FROM players WHERE player_name = ?", (player_name,)) result = cursor.fetchone() if result: return result[0] else: return None # Example usage if __name__ == "__main__": set_player_lastfm_username("Player123", "YOUR_LASTFM_USERNAME") # Replace with your Last.fm username username = get_player_lastfm_username("Player123") print(f"Last.fm username for Player123: {username}") conn.close() ``` **IV. Key Considerations and Challenges** * **Minecraft Protocol:** Understanding the Minecraft protocol is crucial for building a functional MCP server. It's complex and constantly evolving. * **API Rate Limits:** The Spotify and Last.fm APIs have rate limits. You need to handle these limits gracefully to avoid being blocked. Implement caching and throttling. * **User Authentication:** You'll need a way for players to link their Spotify/Last.fm accounts to their Minecraft accounts. This typically involves OAuth 2.0. * **Data Storage:** Choosing the right data storage solution (database, file system, etc.) depends on the scale of your project. * **Performance:** Generating recommendations can be computationally expensive. Optimize your code and consider using background threads or asynchronous tasks. * **Error Handling:** Implement robust error handling to deal with API errors, network issues, and invalid user input. * **Security:** Protect API keys and user data. Don't store sensitive information in plain text. * **Scalability:** If you plan to support a large number of users, you'll need to design your system to be scalable. **V. Next Steps** 1. **Choose an MCP Server Library:** Select a library that suits your needs and programming language preference. 2. **Implement the Basic MCP Server:** Get a basic MCP server running that can handle the handshake, status request, and ping request. 3. **Integrate with the Spotify and Last.fm APIs:** Implement the functions to retrieve user listening history and track information. 4. **Implement Command Handling:** Add the ability to register and handle Minecraft commands. 5. **Implement a Recommendation Algorithm:** Start with a simple algorithm and gradually improve it. 6. **Add a Database (Optional):** If you need to store user data, set up a database. 7. **Test Thoroughly:** Test your server with multiple Minecraft clients and different scenarios. **VI. Chinese Translation of Key Terms** Here's a translation of some key terms that might be helpful: * **MCP Server:** MCP服务器 (MCP fúwùqì) * **Spotify API:** Spotify API (Spotify API) (Note: API is often used directly in Chinese) * **Last.fm API:** Last.fm API (Last.fm API) * **Recommendation Algorithm:** 推荐算法 (tuījiàn suànfǎ) * **Minecraft Command:** Minecraft 命令 (Minecraft mìnglìng) * **Listening History:** 听歌历史 (tīng gē lìshǐ) * **API Key:** API 密钥 (API mìyào) * **Database:** 数据库 (shùjùkù) * **User Authentication:** 用户认证 (yònghù rènzhèng) * **Rate Limit:** 速率限制 (sùlǜ xiànzhì) or 频率限制 (pínlǜ xiànzhì) * **Collaborative Filtering:** 协同过滤 (xiétóng guòlǜ) * **Content-Based Filtering:** 基于内容的过滤 (jī yú nèiróng de guòlǜ) This is a substantial project, but by breaking it down into smaller steps and using the resources and guidance provided, you can make progress towards building your music recommendation MCP server. Good luck!
Weather MCP Server
A Model Context Protocol (MCP) server that provides real-time weather alerts and forecasts from the US National Weather Service.
claude_mcp
Okay, here's a breakdown of different methods and libraries you can use to create MCP (Minecraft Protocol) servers in Python, along with explanations and considerations: **Understanding the Landscape** * **Minecraft Protocol (MCP):** This is the communication protocol that Minecraft clients (the game) use to talk to Minecraft servers. It's a binary protocol, meaning data is sent in a specific, structured format of bytes, not human-readable text. It's complex and has evolved over different Minecraft versions. * **Why Python?** Python isn't the *most* common language for high-performance Minecraft servers (Java is the dominant choice). However, Python is great for: * **Prototyping:** Quickly building and testing server features. * **Learning:** Understanding the protocol without the complexity of lower-level languages. * **Modding/Proxying:** Creating tools that sit between the client and a real server to modify behavior. * **Small-Scale Servers:** For personal use, testing, or very small communities. **Methods and Libraries** Here's a breakdown of the most common approaches, from lower-level to higher-level: 1. **Raw Socket Programming (Lowest Level):** * **Concept:** You directly use Python's `socket` library to open a network connection, listen for incoming connections from Minecraft clients, and then manually encode and decode the Minecraft protocol packets. * **Pros:** * **Maximum Control:** You have complete control over every aspect of the server. * **Learning:** Forces you to deeply understand the Minecraft protocol. * **Cons:** * **Extremely Complex:** The Minecraft protocol is intricate. You'll need to implement packet handling, compression, encryption, player authentication, world management, and much more. * **Time-Consuming:** Building a functional server from scratch this way is a significant undertaking. * **Error-Prone:** Easy to make mistakes in packet encoding/decoding, leading to crashes or unexpected behavior. * **Example (Very Basic - Just Accepting a Connection):** ```python import socket HOST = '127.0.0.1' # Standard loopback interface address (localhost) PORT = 25565 # Minecraft's default port with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Listening on {HOST}:{PORT}") conn, addr = s.accept() with conn: print(f"Connected by {addr}") while True: data = conn.recv(1024) # Receive up to 1024 bytes if not data: break print(f"Received: {data}") # Here you would need to decode the Minecraft packet # and respond appropriately. conn.sendall(data) # Echo back (for demonstration) ``` * **When to Use:** Only if you *really* need absolute control and are willing to invest a lot of time in understanding the protocol. Generally, avoid this unless you have a very specific reason. 2. **Using a Minecraft Protocol Library (Mid-Level):** * **Concept:** Libraries exist that handle the low-level details of encoding and decoding Minecraft packets. You still need to manage the server loop, player connections, and game logic, but the library simplifies the protocol handling. * **Pros:** * **Reduces Complexity:** Significantly easier than raw socket programming. * **Faster Development:** You can focus on server logic rather than packet details. * **Cons:** * **Library Dependency:** You rely on the library being maintained and up-to-date with the latest Minecraft versions. * **Still Requires Protocol Knowledge:** You still need to understand the Minecraft protocol to some extent to use the library effectively. * **Examples of Libraries (These may not be actively maintained, check their GitHub repos):** * **`mcproto`:** A Python library for working with the Minecraft protocol. (Search on GitHub) * **`pyminecraft`:** Another option, but may be outdated. (Search on GitHub) * **Example (Conceptual - Using a Hypothetical `mcproto` Library):** ```python import socket import mcproto # Hypothetical library HOST = '127.0.0.1' PORT = 25565 with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Listening on {HOST}:{PORT}") conn, addr = s.accept() with conn: print(f"Connected by {addr}") while True: data = conn.recv(4096) if not data: break try: packet = mcproto.decode_packet(data) # Decode using the library print(f"Received packet: {packet}") # Handle the packet based on its type (e.g., handshake, login, chat) if packet.id == 0x00: # Example: Handshake packet # Process the handshake response = mcproto.create_login_success_packet("MyPythonServer") conn.sendall(response) except mcproto.ProtocolError as e: print(f"Error decoding packet: {e}") break except Exception as e: print(f"Unexpected error: {e}") break ``` * **When to Use:** If you want more control than a full-fledged server framework but don't want to deal with the raw protocol details. Good for custom server features or proxies. 3. **Using a Minecraft Server Framework (Highest Level):** * **Concept:** A framework provides a high-level abstraction over the Minecraft protocol, handling much of the server infrastructure for you. You focus on implementing game logic and custom features. * **Pros:** * **Fast Development:** The framework handles the complexities of the protocol, networking, and server management. * **Easier to Use:** You work with higher-level APIs and abstractions. * **Cons:** * **Less Control:** You're limited by the framework's capabilities. * **Framework Dependency:** You're tied to the framework's design and updates. * **Potential Performance Overhead:** Frameworks can sometimes introduce performance overhead compared to lower-level approaches. * **Examples (These are less common in Python than in Java, and may be outdated):** * **`Akkadia`:** An asynchronous Minecraft server framework for Python. (Search on GitHub) * **`python-minecraft-server`:** Another option, but may be outdated. (Search on GitHub) * **Example (Conceptual - Using a Hypothetical Framework):** ```python from my_minecraft_framework import Server, Player server = Server(host='127.0.0.1', port=25565) @server.event("player_join") def on_player_join(player: Player): print(f"{player.name} joined the server!") player.send_message("Welcome to my Python server!") @server.command("say") def say_command(player: Player, message: str): server.broadcast(f"<{player.name}> {message}") server.start() ``` * **When to Use:** If you want to quickly build a basic Minecraft server with custom features and don't need fine-grained control over the protocol. **Important Considerations:** * **Minecraft Version Compatibility:** The Minecraft protocol changes with each version. Make sure the library or framework you use supports the Minecraft version you want to target. Outdated libraries will likely not work with newer versions. * **Asynchronous Programming:** For a responsive server, use asynchronous programming (e.g., `asyncio` in Python). This allows the server to handle multiple client connections concurrently without blocking. Many Minecraft protocol libraries are designed to work with asynchronous frameworks. * **Security:** Implement proper security measures, such as authentication, rate limiting, and input validation, to protect your server from attacks. * **Performance:** Python is generally slower than Java for Minecraft servers. Optimize your code and consider using techniques like caching and efficient data structures to improve performance. For large servers, Python might not be the best choice. * **Maintenance:** Be prepared to maintain your server code and update it as the Minecraft protocol evolves. **Recommendations:** 1. **For Learning:** Start with raw socket programming to understand the basics of the Minecraft protocol. Then, move to a Minecraft protocol library to simplify the development process. 2. **For Custom Features/Proxies:** Use a Minecraft protocol library to handle the low-level details and focus on your specific features. 3. **For Basic Servers:** If you can find a well-maintained Minecraft server framework for Python, it can be a good option for quickly building a basic server. However, be aware of the limitations and potential performance overhead. **In summary, building a Minecraft server in Python is possible, but it requires a good understanding of the Minecraft protocol and careful consideration of the trade-offs between control, complexity, and performance. Choose the method that best suits your needs and skill level.** Good luck!
AQICN MCP Server
通过模型上下文协议 (MCP) 与世界空气质量指数 (World Air Quality Index) 交互,以获取全球城市和坐标的实时空气质量数据。