API Wrapper MCP Server

Okay, I understand you want to create an MCP (presumably meaning "Minimal Communication Protocol") server that can handle requests for *any* API. This is a very broad request, as the implementation details will heavily depend on the specific API you want to support. However, I can provide a conceptual outline and a basic Python example to illustrate the core principles. **Conceptual Outline** 1. **API Definition:** The most crucial step. You *must* have a clear definition of the API you want to support. This includes: * **Endpoints:** The URLs or routes that the API exposes (e.g., `/users`, `/products/{id}`). * **HTTP Methods:** The HTTP methods used for each endpoint (e.g., GET, POST, PUT, DELETE). * **Request Parameters:** The data that needs to be sent in the request (e.g., query parameters, request body). Specify data types and validation rules. * **Request Body Format:** If the API uses request bodies (e.g., for POST or PUT requests), define the format (e.g., JSON, XML, form data). * **Response Format:** The format of the data returned by the API (e.g., JSON, XML). Define the structure and data types. * **Error Handling:** How errors are reported (e.g., HTTP status codes, error messages in the response body). 2. **MCP Protocol Definition:** Define your "Minimal Communication Protocol." This is how your clients will communicate with your server. Consider these aspects: * **Message Format:** How will the client send the API request information to the server? A simple text-based format might be suitable for a minimal protocol. For example: ``` METHOD:GET ENDPOINT:/users HEADER:Authorization: Bearer <token> ``` Or, you could use a more structured format like JSON: ```json { "method": "GET", "endpoint": "/users", "headers": {"Authorization": "Bearer <token>"}, "body": null } ``` * **Response Format:** How will the server send the API response back to the client? Again, a simple text-based format or JSON could be used. * **Error Handling:** How will the server indicate errors to the client? 3. **Server Implementation:** * **Socket Listener:** The server needs to listen on a specific port for incoming client connections. * **Message Parsing:** The server needs to parse the incoming MCP message to extract the API request details (method, endpoint, headers, body). * **API Request Handling:** Based on the parsed request, the server needs to: * Construct the appropriate API request. * Send the request to the actual API endpoint. * Receive the API response. * **Response Formatting:** The server needs to format the API response into the MCP response format and send it back to the client. * **Error Handling:** The server needs to handle errors that occur during any of these steps and send appropriate error responses to the client. **Python Example (Illustrative)** This is a very basic example using Python's `socket` library. It assumes a simple text-based MCP protocol. **This is not production-ready code.** It lacks proper error handling, security, and scalability. ```python import socket import requests import json # Configuration HOST = '127.0.0.1' # Standard loopback interface address (localhost) PORT = 65432 # Port to listen on (non-privileged ports are > 1023) API_BASE_URL = "https://jsonplaceholder.typicode.com" # Example API def handle_client(conn, addr): print(f"Connected by {addr}") while True: data = conn.recv(1024) # Receive up to 1024 bytes if not data: break try: # Decode the received data (assuming UTF-8 encoding) request_str = data.decode('utf-8') # Parse the request (very basic parsing) lines = request_str.strip().split('\n') method = lines[0].split(':')[1].strip() endpoint = lines[1].split(':')[1].strip() headers = {} for line in lines[2:]: if line.startswith("HEADER:"): header_parts = line[7:].split(':') if len(header_parts) == 2: headers[header_parts[0].strip()] = header_parts[1].strip() # Construct the API URL api_url = API_BASE_URL + endpoint # Make the API request try: response = requests.request(method, api_url, headers=headers) response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx) api_response_data = response.json() # Assuming JSON response # Format the API response into MCP response (JSON) mcp_response = json.dumps(api_response_data) conn.sendall(mcp_response.encode('utf-8')) except requests.exceptions.RequestException as e: error_message = f"API Request Error: {str(e)}" conn.sendall(error_message.encode('utf-8')) print(error_message) except Exception as e: error_message = f"Error processing request: {str(e)}" conn.sendall(error_message.encode('utf-8')) print(error_message) conn.close() print(f"Connection closed with {addr}") def main(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Listening on {HOST}:{PORT}") while True: conn, addr = s.accept() handle_client(conn, addr) if __name__ == "__main__": main() ``` **Explanation:** * **`handle_client(conn, addr)`:** This function handles the communication with a single client. * **`conn.recv(1024)`:** Receives data from the client. * **Request Parsing:** The code parses the incoming data, assuming a simple text-based format. It extracts the method, endpoint, and headers. **This is very basic and needs to be improved for real-world use.** * **`requests.request(method, api_url, headers=headers)`:** Uses the `requests` library to make the actual API request. * **Response Formatting:** The API response (assumed to be JSON) is formatted into a JSON string and sent back to the client. * **Error Handling:** Basic error handling is included, but it's not comprehensive. * **`main()`:** Sets up the socket listener and accepts incoming connections. **To run this example:** 1. **Save:** Save the code as a Python file (e.g., `mcp_server.py`). 2. **Install `requests`:** `pip install requests` 3. **Run:** `python mcp_server.py` **Example Client (Python):** ```python import socket HOST = '127.0.0.1' PORT = 65432 with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect((HOST, PORT)) request = f"METHOD:GET\nENDPOINT:/todos/1\nHEADER:Content-Type: application/json" s.sendall(request.encode('utf-8')) data = s.recv(1024) print('Received:', data.decode('utf-8')) ``` **Important Considerations:** * **Security:** This example is *not* secure. You need to implement proper authentication, authorization, and input validation to protect your server. Consider using HTTPS for secure communication. * **Error Handling:** The error handling is very basic. You need to handle different types of errors gracefully and provide informative error messages to the client. * **Scalability:** This example is not scalable. For production use, you'll need to use a more robust server architecture (e.g., using a framework like Flask or Django, and a multi-threaded or asynchronous approach). * **Data Validation:** Validate all incoming data to prevent injection attacks and other security vulnerabilities. * **API Rate Limiting:** Implement rate limiting to prevent abuse of your server. * **Logging:** Implement logging to track requests and errors. * **Configuration:** Use a configuration file to store settings like the API base URL, port number, and other parameters. * **Protocol Design:** Carefully design your MCP protocol to be efficient and easy to parse. Consider using a binary protocol for better performance. * **Asynchronous I/O:** For handling many concurrent connections, consider using asynchronous I/O (e.g., with `asyncio` in Python). **In summary, creating a generic MCP server for any API is a complex task. You need to carefully define your MCP protocol, handle API requests and responses, and implement proper error handling, security, and scalability. The example above provides a basic starting point, but it needs to be significantly improved for real-world use.** **中文翻译：** 好的，我理解您想要创建一个 MCP（大概意思是“最小通信协议”）服务器，它可以处理任何 API 的请求。 这是一个非常广泛的要求，因为实现细节将很大程度上取决于您想要支持的特定 API。 但是，我可以提供一个概念性的概述和一个基本的 Python 示例来说明核心原则。 **概念性概述** 1. **API 定义：** 最关键的一步。 您*必须*清楚地定义您想要支持的 API。 这包括： * **端点：** API 公开的 URL 或路由（例如，`/users`，`/products/{id}`）。 * **HTTP 方法：** 每个端点使用的 HTTP 方法（例如，GET，POST，PUT，DELETE）。 * **请求参数：** 需要在请求中发送的数据（例如，查询参数，请求体）。 指定数据类型和验证规则。 * **请求体格式：** 如果 API 使用请求体（例如，对于 POST 或 PUT 请求），请定义格式（例如，JSON，XML，表单数据）。 * **响应格式：** API 返回的数据的格式（例如，JSON，XML）。 定义结构和数据类型。 * **错误处理：** 如何报告错误（例如，HTTP 状态代码，响应体中的错误消息）。 2. **MCP 协议定义：** 定义您的“最小通信协议”。 这是您的客户端将如何与您的服务器通信。 考虑以下几个方面： * **消息格式：** 客户端将如何将 API 请求信息发送到服务器？ 简单的基于文本的格式可能适合于最小协议。 例如： ``` METHOD:GET ENDPOINT:/users HEADER:Authorization: Bearer <token> ``` 或者，您可以使用更结构化的格式，例如 JSON： ```json { "method": "GET", "endpoint": "/users", "headers": {"Authorization": "Bearer <token>"}, "body": null } ``` * **响应格式：** 服务器将如何将 API 响应发送回客户端？ 同样，可以使用简单的基于文本的格式或 JSON。 * **错误处理：** 服务器将如何向客户端指示错误？ 3. **服务器实现：** * **套接字监听器：** 服务器需要监听特定端口上的传入客户端连接。 * **消息解析：** 服务器需要解析传入的 MCP 消息以提取 API 请求详细信息（方法，端点，标头，正文）。 * **API 请求处理：** 根据解析的请求，服务器需要： * 构造适当的 API 请求。 * 将请求发送到实际的 API 端点。 * 接收 API 响应。 * **响应格式化：** 服务器需要将 API 响应格式化为 MCP 响应格式，然后将其发送回客户端。 * **错误处理：** 服务器需要处理在任何这些步骤中发生的错误，并将适当的错误响应发送给客户端。 **Python 示例（说明性）** 这是一个使用 Python 的 `socket` 库的非常基本的示例。 它假定一个简单的基于文本的 MCP 协议。 **这不是生产就绪的代码。** 它缺乏适当的错误处理，安全性和可伸缩性。 ```python import socket import requests import json # 配置 HOST = '127.0.0.1' # 标准环回接口地址（localhost） PORT = 65432 # 监听端口（非特权端口 > 1023） API_BASE_URL = "https://jsonplaceholder.typicode.com" # 示例 API def handle_client(conn, addr): print(f"Connected by {addr}") while True: data = conn.recv(1024) # 接收最多 1024 字节 if not data: break try: # 解码接收到的数据（假设 UTF-8 编码） request_str = data.decode('utf-8') # 解析请求（非常基本的解析） lines = request_str.strip().split('\n') method = lines[0].split(':')[1].strip() endpoint = lines[1].split(':')[1].strip() headers = {} for line in lines[2:]: if line.startswith("HEADER:"): header_parts = line[7:].split(':') if len(header_parts) == 2: headers[header_parts[0].strip()] = header_parts[1].strip() # 构造 API URL api_url = API_BASE_URL + endpoint # 发出 API 请求 try: response = requests.request(method, api_url, headers=headers) response.raise_for_status() # 为错误的响应（4xx 或 5xx）引发 HTTPError api_response_data = response.json() # 假设 JSON 响应 # 将 API 响应格式化为 MCP 响应（JSON） mcp_response = json.dumps(api_response_data) conn.sendall(mcp_response.encode('utf-8')) except requests.exceptions.RequestException as e: error_message = f"API 请求错误：{str(e)}" conn.sendall(error_message.encode('utf-8')) print(error_message) except Exception as e: error_message = f"处理请求时出错：{str(e)}" conn.sendall(error_message.encode('utf-8')) print(error_message) conn.close() print(f"与 {addr} 的连接已关闭") def main(): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"监听 {HOST}:{PORT}") while True: conn, addr = s.accept() handle_client(conn, addr) if __name__ == "__main__": main() ``` **说明：** * **`handle_client(conn, addr)`：** 此函数处理与单个客户端的通信。 * **`conn.recv(1024)`：** 接收来自客户端的数据。 * **请求解析：** 代码解析传入的数据，假设为简单的基于文本的格式。 它提取方法，端点和标头。 **这非常基本，需要改进以用于实际应用。** * **`requests.request(method, api_url, headers=headers)`：** 使用 `requests` 库发出实际的 API 请求。 * **响应格式化：** API 响应（假定为 JSON）被格式化为 JSON 字符串并发送回客户端。 * **错误处理：** 包含基本的错误处理，但并不全面。 * **`main()`：** 设置套接字监听器并接受传入的连接。 **要运行此示例：** 1. **保存：** 将代码另存为 Python 文件（例如，`mcp_server.py`）。 2. **安装 `requests`：** `pip install requests` 3. **运行：** `python mcp_server.py` **示例客户端 (Python):** ```python import socket HOST = '127.0.0.1' PORT = 65432 with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect((HOST, PORT)) request = f"METHOD:GET\nENDPOINT:/todos/1\nHEADER:Content-Type: application/json" s.sendall(request.encode('utf-8')) data = s.recv(1024) print('Received:', data.decode('utf-8')) ``` **重要注意事项：** * **安全性：** 此示例*不*安全。 您需要实施适当的身份验证，授权和输入验证来保护您的服务器。 考虑使用 HTTPS 进行安全通信。 * **错误处理：** 错误处理非常基本。 您需要优雅地处理不同类型的错误，并向客户端提供有用的错误消息。 * **可伸缩性：** 此示例不可伸缩。 对于生产用途，您需要使用更强大的服务器架构（例如，使用 Flask 或 Django 之类的框架，以及多线程或异步方法）。 * **数据验证：** 验证所有传入数据，以防止注入攻击和其他安全漏洞。 * **API 速率限制：** 实施速率限制以防止滥用您的服务器。 * **日志记录：** 实施日志记录以跟踪请求和错误。 * **配置：** 使用配置文件来存储诸如 API 基本 URL，端口号和其他参数之类的设置。 * **协议设计：** 仔细设计您的 MCP 协议，使其高效且易于解析。 考虑使用二进制协议以获得更好的性能。 * **异步 I/O：** 为了处理许多并发连接，请考虑使用异步 I/O（例如，在 Python 中使用 `asyncio`）。 **总而言之，为任何 API 创建通用 MCP 服务器是一项复杂的任务。 您需要仔细定义您的 MCP 协议，处理 API 请求和响应，并实施适当的错误处理，安全性和可伸缩性。 上面的示例提供了一个基本的起点，但是需要对其进行重大改进才能用于实际应用。**