Discover Awesome MCP Servers

BrowserLoop

A Model Context Protocol (MCP) server for taking screenshots of web pages using Playwright, allowing AI agents to automatically capture and analyze screenshots for UI verification or other tasks.

Xafari MCP

An MCP server and crawler for Xafari documentation that enables AI agents to search, retrieve pages, and extract code examples from a local index. It provides structured documentation access through stdio or HTTP interfaces for seamless IDE integration.

tpm-mcp

An AI-powered Technical Project Manager that enables Claude to track projects, features, and tasks locally using SQLite. Break down complex features, track progress and blockers, and manage hierarchical project structures through natural conversation.

Terminal MCP Server

Enables safe execution of terminal commands across different shells (bash, cmd, PowerShell) with configurable timeouts, working directories, and resource limits for command-line operations through AI assistants.

ArcadeDB Multi-Model DBMS

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Gemini MCP Server

A Python-based MCP server that enables integration of Gemini AI models with MCP-compatible applications like Cursor/Claude, allowing for interaction with Gemini APIs through the Model Context Protocol.

Remote MCP Server (Authless)

Enables deployment of MCP servers on Cloudflare Workers without authentication requirements. Allows users to create custom tools accessible via remote MCP clients like Claude Desktop or Cloudflare AI Playground.

n8n MCP Server

Enables users to manage workflows, monitor executions, and perform administrative tasks in n8n through natural language conversations with Claude. It provides over 40 tools to control self-hosted or cloud n8n instances via the Model Context Protocol.

GABI MCP Server

An MCP server that exposes GABI functionality, allowing users to run queries against a target endpoint with proper authentication.

API Registry MCP Server

Enables discovery, registration, and management of external API endpoints through natural language, supporting multiple authentication methods (public, API key, bearer token) with automatic endpoint testing and documentation parsing.

diffchunk

Enables LLMs to efficiently navigate and analyze large diff files by providing pattern-based chunk navigation, allowing direct access to relevant changes without loading entire diffs into context.

McpVanguard

A security proxy and active firewall for the Model Context Protocol that protects host systems from malicious intent, prompt injection, and data exfiltration. It acts as an interception layer between AI agents and tools, providing real-time verification and multi-layered defense mechanisms.

MultiversX MCP Server

MultiversX 的 MCP 服务器

Demo MCP

好的，这是一个使用 MCP 协议的简单客户端和服务器文件示例： **服务器 (server.py):** ```python import socket import struct # MCP 协议常量 MCP_MAGIC = 0x4D4350 # "MCP" 的 ASCII 码 MCP_VERSION = 1 MCP_STATUS_OK = 0 MCP_STATUS_ERROR = 1 def handle_client(conn, addr): """处理客户端连接.""" print(f"连接来自: {addr}") try: # 1. 读取头部 (魔数, 版本, 命令) header_data = conn.recv(8) # 4 字节魔数 + 1 字节版本 + 3 字节命令 if len(header_data) != 8: print("头部读取失败或连接关闭") return magic, version, command = struct.unpack("!I B 3s", header_data) if magic != MCP_MAGIC: print("无效的魔数") return if version != MCP_VERSION: print("不支持的版本") return command = command.decode('utf-8').strip('\x00') # 解码命令并移除填充的空字节 print(f"收到命令: {command}") # 2. 处理命令 if command == "PING": # 响应 PING 命令 response_data = "PONG".encode('utf-8') response_length = len(response_data) # 构建响应头部 (状态, 数据长度) response_header = struct.pack("!B I", MCP_STATUS_OK, response_length) # 发送响应 conn.sendall(response_header + response_data) print("发送 PONG 响应") elif command == "ECHO": # 读取数据长度 length_data = conn.recv(4) if len(length_data) != 4: print("数据长度读取失败") return data_length = struct.unpack("!I", length_data)[0] # 读取数据 data = conn.recv(data_length) if len(data) != data_length: print("数据读取失败") return received_message = data.decode('utf-8') print(f"收到消息: {received_message}") # 构建响应 (ECHO 命令返回相同的数据) response_data = received_message.encode('utf-8') response_length = len(response_data) # 构建响应头部 (状态, 数据长度) response_header = struct.pack("!B I", MCP_STATUS_OK, response_length) # 发送响应 conn.sendall(response_header + response_data) print("发送 ECHO 响应") else: print(f"未知命令: {command}") # 构建错误响应 error_message = "未知命令".encode('utf-8') response_length = len(error_message) response_header = struct.pack("!B I", MCP_STATUS_ERROR, response_length) conn.sendall(response_header + error_message) except Exception as e: print(f"处理客户端时发生错误: {e}") finally: conn.close() print("连接关闭") def main(): """主函数.""" host = "127.0.0.1" # 监听所有接口 port = 12345 # 使用一个未使用的端口 server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server_socket.bind((host, port)) server_socket.listen(5) # 允许 5 个连接排队 print(f"服务器监听在 {host}:{port}") try: while True: conn, addr = server_socket.accept() handle_client(conn, addr) except KeyboardInterrupt: print("服务器关闭") finally: server_socket.close() if __name__ == "__main__": main() ``` **客户端 (client.py):** ```python import socket import struct # MCP 协议常量 (与服务器相同) MCP_MAGIC = 0x4D4350 MCP_VERSION = 1 MCP_STATUS_OK = 0 MCP_STATUS_ERROR = 1 def send_mcp_message(host, port, command, data=None): """发送 MCP 消息并接收响应.""" try: client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) client_socket.connect((host, port)) # 1. 构建头部 command_bytes = command.encode('utf-8') header = struct.pack("!I B 3s", MCP_MAGIC, MCP_VERSION, command_bytes) # 2. 发送头部 client_socket.sendall(header) # 3. 发送数据 (如果存在) if data: data_bytes = data.encode('utf-8') data_length = len(data_bytes) length_header = struct.pack("!I", data_length) client_socket.sendall(length_header + data_bytes) # 4. 接收响应头部 (状态, 数据长度) response_header = client_socket.recv(5) # 1 字节状态 + 4 字节长度 if len(response_header) != 5: print("响应头部读取失败") return None status, data_length = struct.unpack("!B I", response_header) # 5. 接收响应数据 response_data = client_socket.recv(data_length) if len(response_data) != data_length: print("响应数据读取失败") return None response_message = response_data.decode('utf-8') if status == MCP_STATUS_OK: print(f"服务器响应: {response_message}") return response_message else: print(f"服务器错误: {response_message}") return None except Exception as e: print(f"发生错误: {e}") return None finally: client_socket.close() def main(): """主函数.""" host = "127.0.0.1" port = 12345 # 发送 PING 命令 send_mcp_message(host, port, "PING") # 发送 ECHO 命令 message = "Hello, MCP Server!" send_mcp_message(host, port, "ECHO", message) # 发送未知命令 send_mcp_message(host, port, "UNKNOWN") if __name__ == "__main__": main() ``` **如何运行:** 1. **保存:** 将代码分别保存为 `server.py` 和 `client.py`。 2. **运行服务器:** 在终端中运行 `python server.py`。 3. **运行客户端:** 在另一个终端中运行 `python client.py`。 **代码解释:** * **MCP 协议:** 这个例子定义了一个简单的 MCP 协议，包含： * **魔数 (Magic Number):** `0x4D4350` (ASCII 码 "MCP")，用于验证消息是否为 MCP 消息。 * **版本 (Version):** `1`，用于支持协议的未来版本。 * **命令 (Command):** 一个 3 字节的字符串，用于指定服务器要执行的操作。 * **状态 (Status):** 一个字节，表示操作是否成功 (`MCP_STATUS_OK` 或 `MCP_STATUS_ERROR`)。 * **数据长度 (Data Length):** 一个 4 字节的整数，表示数据的长度。 * **数据 (Data):** 实际的数据负载。 * **`struct` 模块:** 用于将数据打包成二进制格式，以便通过网络发送。 `!I` 表示网络字节序 (大端) 的无符号整数，`!B` 表示网络字节序的无符号字节。 * **服务器 (`server.py`):** * 监听指定的端口。 * 接受客户端连接。 * 读取 MCP 头部 (魔数, 版本, 命令)。 * 根据命令执行相应的操作 (PING, ECHO)。 * 构建并发送响应。 * 处理错误情况。 * **客户端 (`client.py`):** * 连接到服务器。 * 构建 MCP 头部和数据 (如果需要)。 * 发送消息。 * 接收响应。 * 解析响应。 * 打印结果。 **关键点:** * **字节序 (Endianness):** 使用 `!` 指定网络字节序 (大端) 以确保不同架构的机器可以正确地解释数据。 * **错误处理:** 包含基本的错误处理，例如检查魔数、版本和数据长度。 * **命令处理:** 服务器根据接收到的命令执行不同的操作。 * **数据打包和解包:** 使用 `struct` 模块将数据打包成二进制格式，以便通过网络发送，并在接收时解包。 * **编码:** 使用 UTF-8 编码来处理字符串数据。 **改进方向:** * **更健壮的错误处理:** 添加更详细的错误处理和日志记录。 * **线程/异步处理:** 使用线程或异步编程来处理多个客户端连接。 * **更复杂的命令:** 添加更多的命令和功能。 * **加密:** 使用 SSL/TLS 加密连接以提高安全性。 * **数据验证:** 对接收到的数据进行验证，以防止恶意攻击。 这个例子提供了一个使用 MCP 协议进行通信的基本框架。 你可以根据自己的需要进行修改和扩展。 **中文翻译:** 好的，这是一个使用 MCP 协议的简单客户端和服务器文件示例： **服务器 (server.py):** ```python import socket import struct # MCP 协议常量 MCP_MAGIC = 0x4D4350 # "MCP" 的 ASCII 码 MCP_VERSION = 1 MCP_STATUS_OK = 0 MCP_STATUS_ERROR = 1 def handle_client(conn, addr): """处理客户端连接.""" print(f"连接来自: {addr}") try: # 1. 读取头部 (魔数, 版本, 命令) header_data = conn.recv(8) # 4 字节魔数 + 1 字节版本 + 3 字节命令 if len(header_data) != 8: print("头部读取失败或连接关闭") return magic, version, command = struct.unpack("!I B 3s", header_data) if magic != MCP_MAGIC: print("无效的魔数") return if version != MCP_VERSION: print("不支持的版本") return command = command.decode('utf-8').strip('\x00') # 解码命令并移除填充的空字节 print(f"收到命令: {command}") # 2. 处理命令 if command == "PING": # 响应 PING 命令 response_data = "PONG".encode('utf-8') response_length = len(response_data) # 构建响应头部 (状态, 数据长度) response_header = struct.pack("!B I", MCP_STATUS_OK, response_length) # 发送响应 conn.sendall(response_header + response_data) print("发送 PONG 响应") elif command == "ECHO": # 读取数据长度 length_data = conn.recv(4) if len(length_data) != 4: print("数据长度读取失败") return data_length = struct.unpack("!I", length_data)[0] # 读取数据 data = conn.recv(data_length) if len(data) != data_length: print("数据读取失败") return received_message = data.decode('utf-8') print(f"收到消息: {received_message}") # 构建响应 (ECHO 命令返回相同的数据) response_data = received_message.encode('utf-8') response_length = len(response_data) # 构建响应头部 (状态, 数据长度) response_header = struct.pack("!B I", MCP_STATUS_OK, response_length) # 发送响应 conn.sendall(response_header + response_data) print("发送 ECHO 响应") else: print(f"未知命令: {command}") # 构建错误响应 error_message = "未知命令".encode('utf-8') response_length = len(error_message) response_header = struct.pack("!B I", MCP_STATUS_ERROR, response_length) conn.sendall(response_header + error_message) except Exception as e: print(f"处理客户端时发生错误: {e}") finally: conn.close() print("连接关闭") def main(): """主函数.""" host = "127.0.0.1" # 监听所有接口 port = 12345 # 使用一个未使用的端口 server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server_socket.bind((host, port)) server_socket.listen(5) # 允许 5 个连接排队 print(f"服务器监听在 {host}:{port}") try: while True: conn, addr = server_socket.accept() handle_client(conn, addr) except KeyboardInterrupt: print("服务器关闭") finally: server_socket.close() if __name__ == "__main__": main() ``` **客户端 (client.py):** ```python import socket import struct # MCP 协议常量 (与服务器相同) MCP_MAGIC = 0x4D4350 MCP_VERSION = 1 MCP_STATUS_OK = 0 MCP_STATUS_ERROR = 1 def send_mcp_message(host, port, command, data=None): """发送 MCP 消息并接收响应.""" try: client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) client_socket.connect((host, port)) # 1. 构建头部 command_bytes = command.encode('utf-8') header = struct.pack("!I B 3s", MCP_MAGIC, MCP_VERSION, command_bytes) # 2. 发送头部 client_socket.sendall(header) # 3. 发送数据 (如果存在) if data: data_bytes = data.encode('utf-8') data_length = len(data_bytes) length_header = struct.pack("!I", data_length) client_socket.sendall(length_header + data_bytes) # 4. 接收响应头部 (状态, 数据长度) response_header = client_socket.recv(5) # 1 字节状态 + 4 字节长度 if len(response_header) != 5: print("响应头部读取失败") return None status, data_length = struct.unpack("!B I", response_header) # 5. 接收响应数据 response_data = client_socket.recv(data_length) if len(response_data) != data_length: print("响应数据读取失败") return None response_message = response_data.decode('utf-8') if status == MCP_STATUS_OK: print(f"服务器响应: {response_message}") return response_message else: print(f"服务器错误: {response_message}") return None except Exception as e: print(f"发生错误: {e}") return None finally: client_socket.close() def main(): """主函数.""" host = "127.0.0.1" port = 12345 # 发送 PING 命令 send_mcp_message(host, port, "PING") # 发送 ECHO 命令 message = "Hello, MCP Server!" send_mcp_message(host, port, "ECHO", message) # 发送未知命令 send_mcp_message(host, port, "UNKNOWN") if __name__ == "__main__": main() ``` **如何运行:** 1. **保存:** 将代码分别保存为 `server.py` 和 `client.py`。 2. **运行服务器:** 在终端中运行 `python server.py`。 3. **运行客户端:** 在另一个终端中运行 `python client.py`。 **代码解释:** * **MCP 协议:** 这个例子定义了一个简单的 MCP 协议，包含： * **魔数 (Magic Number):** `0x4D4350` (ASCII 码 "MCP")，用于验证消息是否为 MCP 消息。 * **版本 (Version):** `1`，用于支持协议的未来版本。 * **命令 (Command):** 一个 3 字节的字符串，用于指定服务器要执行的操作。 * **状态 (Status):** 一个字节，表示操作是否成功 (`MCP_STATUS_OK` 或 `MCP_STATUS_ERROR`)。 * **数据长度 (Data Length):** 一个 4 字节的整数，表示数据的长度。 * **数据 (Data):** 实际的数据负载。 * **`struct` 模块:** 用于将数据打包成二进制格式，以便通过网络发送。 `!I` 表示网络字节序 (大端) 的无符号整数，`!B` 表示网络字节序的无符号字节。 * **服务器 (`server.py`):** * 监听指定的端口。 * 接受客户端连接。 * 读取 MCP 头部 (魔数, 版本, 命令)。 * 根据命令执行相应的操作 (PING, ECHO)。 * 构建并发送响应。 * 处理错误情况。 * **客户端 (`client.py`):** * 连接到服务器。 * 构建 MCP 头部和数据 (如果需要)。 * 发送消息。 * 接收响应。 * 解析响应。 * 打印结果。 **关键点:** * **字节序 (Endianness):** 使用 `!` 指定网络字节序 (大端) 以确保不同架构的机器可以正确地解释数据。 * **错误处理:** 包含基本的错误处理，例如检查魔数、版本和数据长度。 * **命令处理:** 服务器根据接收到的命令执行不同的操作。 * **数据打包和解包:** 使用 `struct` 模块将数据打包成二进制格式，以便通过网络发送，并在接收时解包。 * **编码:** 使用 UTF-8 编码来处理字符串数据。 **改进方向:** * **更健壮的错误处理:** 添加更详细的错误处理和日志记录。 * **线程/异步处理:** 使用线程或异步编程来处理多个客户端连接。 * **更复杂的命令:** 添加更多的命令和功能。 * **加密:** 使用 SSL/TLS 加密连接以提高安全性。 * **数据验证:** 对接收到的数据进行验证，以防止恶意攻击。 这个例子提供了一个使用 MCP 协议进行通信的基本框架。 你可以根据自己的需要进行修改和扩展。 **总结:** 这段代码演示了一个简单的客户端-服务器架构，使用自定义的 MCP 协议进行通信。 它展示了如何使用 `socket` 模块进行网络编程，以及如何使用 `struct` 模块打包和解包二进制数据。 这个例子可以作为学习网络编程和协议设计的起点。

AYX-MCP-Wrapper

A Model Context Protocol server that provides a comprehensive interface to Alteryx Servers, enabling AI assistants to manage workflows, collections, users, schedules, credentials, and more.

x402-discovery-mcp

Discovers and routes across 251+ x402-enabled payment services with smart routing strategies (cheapest, fastest, most trusted) and signed attestations. Provides real-time health monitoring, facilitator compatibility checks, and service quality scoring for the x402 agent payment ecosystem.

HexStrike AI MCP Server

AI-powered cybersecurity automation platform with 150+ security tools and 12+ autonomous AI agents for penetration testing, vulnerability assessment, and bug bounty hunting. Enables comprehensive security testing through intelligent tool selection and automated workflows.

YAPI MCP Server

这是一个模型上下文协议 (MCP) 服务器，它提供对 YAPI 接口详情的访问。

C++ UML Class Diagram Generator

Analyzes C++ source code to automatically generate UML class diagrams in PlantUML format, extracting classes, inheritance relationships, and member visibility from directories or file contents.

Gridly MCP Server

Gridly MCP 服务器 (Gridly MCP fúwùqì)

MCPFind

A context-efficient proxy that replaces individual tool schemas with three meta-tools for semantic search, schema retrieval, and tool routing. It enables agents to manage hundreds of backend tools while maintaining a constant context footprint of approximately 500 tokens.

MCP TypeScript Template

A TypeScript template for building remote Model Context Protocol (MCP) servers with modern tooling including Vite, Express, ESLint, Prettier, and Docker support. Includes an example echo tool to demonstrate MCP tool implementation patterns.

Workflow MCP Server

Enables AI assistants to evaluate task complexity, verify package installation safety, and log complex reasoning processes. Provides structured assessment of multi-step tasks and environment validation for safer code execution workflows.

JW MCP Server

Provides access to JW.org content including Christian Life and Ministry workbook materials, Watchtower study articles, and video captions with subtitles across multiple languages.

Root Signals MCP Server

Enables AI assistants and agents to evaluate and improve their responses using Root Signals quality evaluators for criteria like clarity, relevance, and faithfulness. Supports standard evaluations, RAG assessments, and coding policy adherence checks.

TrendRadar

A lightweight hotspot news assistant that aggregates trending information from multiple platforms for AI-powered monitoring and analysis. It supports the Model Context Protocol to provide intelligent news filtering and summarized insights through integrated AI clients.

Fetch MCP

A template for deploying remote Model Context Protocol servers on Cloudflare Workers using Server-Sent Events without authentication. It enables users to host custom tools on the edge and connect them to clients like Claude Desktop or the Cloudflare AI Playground.

Overseer MCP Server

Provides structured project management through phase-based workflows, enabling planning, execution tracking, compliance checking, and automated documentation for software development projects.

Google Play Game Services Configuration MCP Server

A Multi-Agent Conversation Protocol server for interacting with Google Play Game Services Configuration API, allowing management of game configurations through natural language commands.