Discover Awesome MCP Servers

mcp-kql-server

MCP server for executing Kusto Query Language (KQL) queries against Azure Data Explorer clusters, integrating with Claude Desktop and VS Code via Azure CLI authentication.

hackernews-mcp

Enables LLMs to search and read Hacker News posts and comments via the Algolia API.

notion-enhanced

Enhanced Notion MCP server supporting all 24 property types, auto-pagination, block operations, and markdown conversion for database and page operations.

FDEP MCP Server

Provides static code analysis for enterprise-scale Haskell codebases with 40+ comprehensive tools for analyzing modules, functions, types, classes, imports, and architectural dependencies through real-time queries.

Z3 Theorem Prover with Functional Programming

An MCP server for the z3 theorem prover

youtube-research-mcp

Enables AI assistants to research YouTube videos by collecting captions, comments, and channel information for analysis and comparison.

ArXiv MCP Server

Enables AI assistants to search arXiv's research repository, download papers, and access their content programmatically. Includes specialized prompts for comprehensive academic paper analysis covering methodology, results, and implications.

J-SQUAD TradingView MCP Combined

A comprehensive MCP server that integrates TradingView Desktop automation, screener API, Yahoo Finance, IDX/BEI tools, backtesting, news sentiment, trade math, and market sessions. It enables traders to perform technical analysis, backtest strategies, manage positions, and automate TradingView tasks through natural language.

mcp-server-ovh

A Model Context Protocol (MCP) server that provides standardized access to OVH API services, enabling AI assistants to manage OVH cloud infrastructure.

ketcher-mcp-server

MCP server for Ketcher chemical structure editor integration, enabling SMILES/MOL/InChI conversion, image generation, molecular property calculation, and validation.

brainlayer

Local-first persistent memory layer for AI agents. Provides hybrid search (FTS5 keyword + vector embeddings) over 223K+ knowledge chunks via MCP. Tools: brain_search, brain_store, brain_entity, brain_subscribe. Features pub/sub with stable agent identity, delivery tracking, and Claude --channels integration. SQLite + BrainBar Swift daemon on Unix socket.

TrainingPeaks MCP Server

Enables AI assistants like Claude to interact with TrainingPeaks, allowing users to query workouts, build structured intervals, track fitness trends, and add comments through natural language, with automatic secure login.

yt

An MCP server that provides YouTube data access without API keys or quotas. It enables agents to search videos, retrieve transcripts and metadata, and perform full-text search across cached content for AI context retrieval.

Union MCP

一个 MCP 服务器，允许 Claude 模型在对话中使用 Union 任务、工作流和应用程序作为工具。

Boyce

Give AI agents structured database intelligence. Deterministic SQL, NULL trap detection, EXPLAIN pre-flight. MIT licensed.

Manos MCP

A Model Context Protocol server for ad-hoc UI testing of Android and iOS apps, enabling LLM agents to interact with mobile app UIs and react to observations.

markfetch

Fetches any URL and returns clean markdown, using a real Chrome fingerprint to bypass bot detection. Integrates as an MCP server with tools like fetch_markdown.

VeoMCP

Google Veo AI video generation with text-to-video, image-to-video, multi-image fusion, 1080p upscaling, and multiple quality/speed models.

Java Inspector

Decompiles Maven dependencies into readable Java source directly inside your AI agent.

Agent-VC MCP Server

Provides AI agents with persistent state, version control, and task management capabilities powered by Fossil SCM. It enables agents to manage files in a sandboxed environment with full commit history and built-in ticket tracking.

mcp-obsidian-vault

Provides AI agents with direct filesystem access to an Obsidian vault for note management, task orchestration, context persistence, and git synchronization.

ai-ssh-mcp

Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.

Trello MCP Server

Enables seamless integration between Claude and Trello via Nango authentication. Allows managing boards, lists, cards, comments, and attachments through natural language commands with complete Trello API coverage.

Claude-to-Gemini MCP Server

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

mercari-jp-mcp

MCP server to search Mercari Japan listings with query, price range, and exclude keywords.

A Simple MCP Server and Client

Okay, here's a simple example of an MCP (Minecraft Communications Protocol) client and server in Python. This is a very basic example and doesn't implement the full MCP protocol, but it demonstrates the core concepts of sending and receiving data. **Important Considerations:** * **Security:** This example is *not* secure. It doesn't include any encryption or authentication. Do not use this in a production environment. * **Error Handling:** The error handling is minimal. A real-world implementation would need much more robust error handling. * **MCP Complexity:** The actual MCP protocol used by Minecraft is significantly more complex than this example. This is a simplified illustration. * **Python:** This example uses Python 3. **Server (server.py):** ```python import socket HOST = '127.0.0.1' # Standard loopback interface address (localhost) PORT = 25565 # Port to listen on (non-privileged ports are > 1023) def handle_client(conn, addr): print(f"Connected by {addr}") while True: try: data = conn.recv(1024) # Receive up to 1024 bytes if not data: break # Client disconnected decoded_data = data.decode('utf-8') print(f"Received from {addr}: {decoded_data}") # Echo the data back to the client (in uppercase) response = decoded_data.upper().encode('utf-8') conn.sendall(response) except ConnectionResetError: print(f"Client {addr} forcibly disconnected.") break except Exception as e: print(f"Error handling client {addr}: {e}") break conn.close() print(f"Connection with {addr} closed.") def main(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Server listening on {HOST}:{PORT}") while True: conn, addr = s.accept() handle_client(conn, addr) # Handle each client in the main thread (for simplicity) if __name__ == "__main__": main() ``` **Client (client.py):** ```python import socket HOST = '127.0.0.1' # The server's hostname or IP address PORT = 25565 # The port used by the server def main(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: try: s.connect((HOST, PORT)) print(f"Connected to {HOST}:{PORT}") message = "Hello, MCP Server!" s.sendall(message.encode('utf-8')) data = s.recv(1024) print(f"Received: {data.decode('utf-8')}") except ConnectionRefusedError: print("Connection refused. Is the server running?") except Exception as e: print(f"An error occurred: {e}") print("Client finished.") if __name__ == "__main__": main() ``` **How to Run:** 1. **Save:** Save the server code as `server.py` and the client code as `client.py`. 2. **Run the Server:** Open a terminal or command prompt and navigate to the directory where you saved the files. Run the server: ```bash python server.py ``` 3. **Run the Client:** Open another terminal or command prompt (in the same directory) and run the client: ```bash python client.py ``` **Explanation:** * **`socket` Module:** The `socket` module is Python's standard library for network communication. * **Server:** * Creates a socket, binds it to an address (IP and port), and listens for incoming connections. * `s.accept()`: Accepts a connection, creating a new socket (`conn`) for communication with that specific client. * `conn.recv(1024)`: Receives data from the client (up to 1024 bytes at a time). * `conn.sendall(response)`: Sends data back to the client. * `conn.close()`: Closes the connection with the client. * **Client:** * Creates a socket and connects to the server's address. * `s.sendall(message.encode('utf-8'))`: Sends a message to the server. The message is encoded into bytes using UTF-8. * `s.recv(1024)`: Receives data from the server. * `data.decode('utf-8')`: Decodes the received bytes back into a string. * `s.close()`: Closes the connection. * **Encoding/Decoding:** Data sent over a socket must be in bytes. The `.encode('utf-8')` method converts a string to bytes using UTF-8 encoding. The `.decode('utf-8')` method converts bytes back to a string. * **`with socket.socket(...) as s:`:** This uses a context manager to ensure that the socket is properly closed when the `with` block exits, even if errors occur. **What you'll see:** * **Server Output:** The server will print "Server listening..." and then, when the client connects, it will print "Connected by..." and the client's address. It will then print the message received from the client and the address of the client. Finally, it will print "Connection with... closed." * **Client Output:** The client will print "Connected to..." and then "Received:..." followed by the uppercase version of the message it sent. Finally, it will print "Client finished." **To make it more like MCP (but still simplified):** 1. **Data Structures:** Instead of just sending strings, you'd need to define data structures (e.g., using `struct` module in Python) to represent the different types of packets that MCP uses. 2. **Packet IDs:** Each packet type has an ID. The client and server need to agree on these IDs. 3. **Handshaking:** MCP has a handshake process where the client and server exchange information about the protocol version they are using. 4. **State Management:** The server needs to keep track of the client's state (e.g., whether the client is logged in, what world the client is in). 5. **Compression/Encryption:** MCP uses compression and encryption for performance and security. This example provides a basic foundation. Building a real MCP implementation is a complex task. --- **Chinese Translation (Simplified Chinese):** 这是一个简单的 MCP (Minecraft 通讯协议) 客户端和服务器的例子，使用 Python 编写。 这是一个非常基础的例子，并没有实现完整的 MCP 协议，但它演示了发送和接收数据的核心概念。 **重要注意事项：** * **安全性：** 这个例子 *不* 安全。 它不包含任何加密或身份验证。 请勿在生产环境中使用它。 * **错误处理：** 错误处理非常少。 实际应用需要更强大的错误处理。 * **MCP 复杂性：** Minecraft 实际使用的 MCP 协议比这个例子复杂得多。 这是一个简化的说明。 * **Python：** 这个例子使用 Python 3。 **服务器 (server.py):** ```python import socket HOST = '127.0.0.1' # 标准回环接口地址 (localhost) PORT = 25565 # 监听端口 (非特权端口 > 1023) def handle_client(conn, addr): print(f"Connected by {addr}") while True: try: data = conn.recv(1024) # 接收最多 1024 字节 if not data: break # 客户端断开连接 decoded_data = data.decode('utf-8') print(f"Received from {addr}: {decoded_data}") # 将数据回显给客户端 (转换为大写) response = decoded_data.upper().encode('utf-8') conn.sendall(response) except ConnectionResetError: print(f"Client {addr} forcibly disconnected.") break except Exception as e: print(f"Error handling client {addr}: {e}") break conn.close() print(f"Connection with {addr} closed.") def main(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Server listening on {HOST}:{PORT}") while True: conn, addr = s.accept() handle_client(conn, addr) # 在主线程中处理每个客户端 (为了简单起见) if __name__ == "__main__": main() ``` **客户端 (client.py):** ```python import socket HOST = '127.0.0.1' # 服务器的主机名或 IP 地址 PORT = 25565 # 服务器使用的端口 def main(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: try: s.connect((HOST, PORT)) print(f"Connected to {HOST}:{PORT}") message = "Hello, MCP Server!" s.sendall(message.encode('utf-8')) data = s.recv(1024) print(f"Received: {data.decode('utf-8')}") except ConnectionRefusedError: print("Connection refused. Is the server running?") except Exception as e: print(f"An error occurred: {e}") print("Client finished.") if __name__ == "__main__": main() ``` **如何运行：** 1. **保存：** 将服务器代码保存为 `server.py`，将客户端代码保存为 `client.py`。 2. **运行服务器：** 打开终端或命令提示符，导航到保存文件的目录。 运行服务器： ```bash python server.py ``` 3. **运行客户端：** 打开另一个终端或命令提示符（在同一目录下），然后运行客户端： ```bash python client.py ``` **解释：** * **`socket` 模块：** `socket` 模块是 Python 的标准库，用于网络通信。 * **服务器：** * 创建一个套接字，将其绑定到地址（IP 和端口），并监听传入的连接。 * `s.accept()`：接受连接，创建一个新的套接字 (`conn`) 用于与该特定客户端通信。 * `conn.recv(1024)`：从客户端接收数据（一次最多 1024 字节）。 * `conn.sendall(response)`：将数据发送回客户端。 * `conn.close()`：关闭与客户端的连接。 * **客户端：** * 创建一个套接字并连接到服务器的地址。 * `s.sendall(message.encode('utf-8'))`：向服务器发送消息。 该消息使用 UTF-8 编码转换为字节。 * `s.recv(1024)`：从服务器接收数据。 * `data.decode('utf-8')`：将接收到的字节解码回字符串。 * `s.close()`：关闭连接。 * **编码/解码：** 通过套接字发送的数据必须是字节。 `.encode('utf-8')` 方法使用 UTF-8 编码将字符串转换为字节。 `.decode('utf-8')` 方法将字节转换回字符串。 * **`with socket.socket(...) as s:`：** 这使用上下文管理器来确保在 `with` 块退出时正确关闭套接字，即使发生错误也是如此。 **你会看到什么：** * **服务器输出：** 服务器将打印 "Server listening..."，然后，当客户端连接时，它将打印 "Connected by..." 和客户端的地址。 然后它将打印从客户端收到的消息和客户端的地址。 最后，它将打印 "Connection with... closed." * **客户端输出：** 客户端将打印 "Connected to..."，然后打印 "Received:..."，后跟它发送的消息的大写版本。 最后，它将打印 "Client finished." **为了使其更像 MCP（但仍然简化）：** 1. **数据结构：** 不是只发送字符串，你需要定义数据结构（例如，使用 Python 中的 `struct` 模块）来表示 MCP 使用的不同类型的包。 2. **数据包 ID：** 每种数据包类型都有一个 ID。 客户端和服务器需要就这些 ID 达成一致。 3. **握手：** MCP 有一个握手过程，客户端和服务器交换有关他们正在使用的协议版本的信息。 4. **状态管理：** 服务器需要跟踪客户端的状态（例如，客户端是否已登录，客户端位于哪个世界）。 5. **压缩/加密：** MCP 使用压缩和加密来提高性能和安全性。 这个例子提供了一个基本的基础。 构建真正的 MCP 实现是一项复杂的任务。

MetaTrader 5 MCP Server

Enables comprehensive access to the MetaTrader 5 trading platform for retrieving market data, managing accounts, and executing trading operations. It provides 32 specialized tools for interacting with MT5 functionalities, including historical OHLCV data access, real-time position monitoring, and automated order management.

codeix

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase.