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Microsoft SQL Server MCP Server
Gương của
MCP Server
(STDIO) Model Context Protocol (MCP) servers designed for local execution
MCP (Model Context Protocol) Research
Okay, here's a translation of your request and some information about Model Context Protocol (MCP) servers and implementations, focusing on what's likely relevant given the context of the request: **Translation of Request:** **Tiếng Việt:** Nghiên cứu và tài liệu về máy chủ và triển khai Giao thức Ngữ cảnh Mô hình (Model Context Protocol - MCP). **Explanation and Information about Model Context Protocol (MCP) Servers and Implementations:** The term "Model Context Protocol" (MCP) isn't a widely recognized or standardized protocol in the same way as, say, HTTP or TCP/IP. It's likely a term used within a specific project, company, or research domain. Therefore, finding general documentation is difficult. To understand it, we need to consider what it *might* be referring to. Here are a few possibilities and how to approach researching them: **Possible Interpretations and Research Strategies:** 1. **Proprietary Protocol:** The most likely scenario is that MCP is a custom protocol developed internally by a company or research group. In this case, the *only* documentation will be internal to that organization. You'll need to: * **Identify the Origin:** Figure out where the term "Model Context Protocol" is used. Who coined the term? In what project or system is it used? * **Access Internal Documentation:** Once you know the origin, you'll need to access the internal documentation, specifications, and code related to that project. This might involve contacting the developers or project managers. * **Reverse Engineering (If Necessary):** If documentation is scarce, you might need to reverse engineer the protocol by analyzing network traffic, examining the server and client code, and observing the system's behavior. This is a difficult and time-consuming process. 2. **Domain-Specific Protocol (e.g., Simulation, Modeling, AI):** It's possible that MCP is a protocol used within a specific domain, such as: * **Simulation and Modeling:** Perhaps it's used to exchange context information between different simulation components or models. Look for protocols used in distributed simulation, co-simulation, or model integration. Keywords to search for include "High Level Architecture (HLA)," "Distributed Interactive Simulation (DIS)," "Functional Mock-up Interface (FMI)," and "co-simulation protocols." * **AI and Machine Learning:** It could be related to sharing model metadata, training data context, or model deployment information. Look for protocols or standards related to model serving, model governance, or federated learning. Keywords to search for include "MLflow," "Kubeflow," "Seldon Core," "ONNX Runtime," and "model serving protocols." * **Game Development:** Less likely, but it could be a custom protocol for sharing game state or context between game clients and servers. **Research Strategy:** * **Identify the Domain:** Determine the specific domain where you encountered the term "Model Context Protocol." * **Search for Domain-Specific Protocols:** Search for protocols and standards used in that domain that relate to context sharing, model management, or data exchange. * **Look for Open-Source Implementations:** If you find a relevant protocol, look for open-source implementations of servers and clients. 3. **Misspelling or Abbreviation:** It's also possible that "MCP" is a misspelling or abbreviation of a more common protocol or technology. Consider alternative spellings or similar-sounding acronyms. **General Considerations for MCP Servers and Implementations (Assuming it's a custom protocol):** If you're dealing with a custom protocol, here are some general considerations for designing and implementing MCP servers: * **Protocol Definition:** * **Data Format:** What data format is used (e.g., JSON, XML, Protocol Buffers, custom binary format)? Choose a format that is efficient, easy to parse, and well-supported by your programming languages. * **Message Structure:** Define the structure of the messages exchanged between the client and server. What fields are included? What data types are used? * **Communication Pattern:** Is it a request-response protocol, a publish-subscribe protocol, or something else? * **Server Architecture:** * **Programming Language:** Choose a programming language that is well-suited for network programming and that you are familiar with (e.g., Python, Java, Go, C++). * **Networking Library:** Use a robust networking library to handle the low-level details of network communication (e.g., `socket` library in Python, `java.net` in Java, `net` package in Go). * **Concurrency Model:** Decide how the server will handle multiple concurrent client connections (e.g., multi-threading, asynchronous I/O). * **Security:** * **Authentication:** How will clients authenticate themselves to the server? * **Authorization:** What permissions will different clients have? * **Encryption:** Will the communication be encrypted (e.g., using TLS/SSL)? * **Error Handling:** * **Error Codes:** Define a set of error codes to indicate different types of errors. * **Logging:** Implement robust logging to track server activity and diagnose problems. * **Scalability:** * **Load Balancing:** If the server needs to handle a large number of clients, consider using load balancing to distribute the load across multiple servers. * **Caching:** Use caching to improve performance by storing frequently accessed data in memory. * **Monitoring:** * **Metrics:** Collect metrics about server performance (e.g., CPU usage, memory usage, network traffic). * **Alerting:** Set up alerts to notify you of potential problems. **Example (Illustrative - Assuming a Simple Request-Response Protocol with JSON):** Let's imagine MCP is a simple protocol where clients request information about a model, and the server responds with the model's context (e.g., metadata, parameters). * **Request (JSON):** ```json { "request_type": "get_model_context", "model_id": "model_123" } ``` * **Response (JSON):** ```json { "status": "success", "model_context": { "name": "My Model", "version": "1.0", "description": "A simple model", "parameters": { "learning_rate": 0.01, "batch_size": 32 } } } ``` **Implementation (Conceptual Python Example):** ```python import socket import json def handle_client(conn, addr): print(f"Connected by {addr}") data = conn.recv(1024) # Receive up to 1024 bytes if not data: return try: request = json.loads(data.decode('utf-8')) if request['request_type'] == 'get_model_context': model_id = request['model_id'] # Simulate fetching model context from a database or file model_context = { "name": f"Model {model_id}", "version": "1.0", "description": "A sample model context", "parameters": {"param1": 1.0, "param2": 2.0} } response = { "status": "success", "model_context": model_context } conn.sendall(json.dumps(response).encode('utf-8')) else: response = {"status": "error", "message": "Invalid request type"} conn.sendall(json.dumps(response).encode('utf-8')) except json.JSONDecodeError: response = {"status": "error", "message": "Invalid JSON"} conn.sendall(json.dumps(response).encode('utf-8')) except Exception as e: response = {"status": "error", "message": str(e)} conn.sendall(json.dumps(response).encode('utf-8')) finally: conn.close() def main(): HOST = '127.0.0.1' # Standard loopback interface address (localhost) PORT = 65432 # Port to listen on (non-privileged ports are > 1023) 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() ``` **Important Considerations:** * **This is a very basic example.** A real-world MCP server would need to handle authentication, authorization, error handling, and other complexities. * **Replace the simulated model context retrieval with actual logic.** The example just returns a hardcoded context. * **Choose the right data format and communication pattern for your needs.** JSON and request-response are just one possibility. **In summary, to effectively research and document MCP servers and implementations, you need to first determine the context in which the term is used. Once you know the origin and purpose of MCP, you can then search for relevant documentation, specifications, and code examples.** Good luck!
Venice AI Image Generator MCP Server
Đang kiểm tra chức năng của máy chủ mcp Venice và Gemini (hình ảnh)
Limitless MCP Integration
A Model Context Protocol server, client and interactive mode for Limitless API
Template Redmine Plugin
postgres-mcp MCP server
Postgres Pro là một máy chủ Giao thức Ngữ cảnh Mô hình (MCP) mã nguồn mở được xây dựng để hỗ trợ bạn và các tác nhân AI của bạn trong suốt quá trình phát triển—từ giai đoạn viết mã ban đầu, qua thử nghiệm và triển khai, đến điều chỉnh và bảo trì sản xuất.
HAN JIE
123123
What is Model Context Protocol (MCP)?
A lightweight Model Context Protocol (MCP) server that enables your LLM to validate email addresses. This tool checks email format, domain validity, and deliverability using the AbstractAPI Email Validation API. Perfect for integrating email validation into AI applications like Claude Desktop.
mcp-server-proxy
Converts MCP protocol's SSE transport layer to a standard HTTP request/response.
Query MCP (Supabase MCP Server)
Podman MCP Server
Model Context Protocol (MCP) server for container runtimes (Podman and Docker)
Cortellis MCP Server
An MCP server enabling AI assistants to search and analyze pharmaceutical data through Cortellis. Features comprehensive drug search, ontology exploration, and real-time clinical trial data access.
Workers MCP Server
Talk to a Cloudflare Worker from Claude Desktop!
Waldzell MCP Servers
Monorepo các máy chủ MCP của Waldzell AI. Được sử dụng trong Claude Desktop, Cline, Roo Code và nhiều ứng dụng khác!
My Slack MCP Server Extension
Một tiện ích mở rộng cho máy chủ MCP của Slack
mcp-oceanbase
Máy chủ MCP cho cơ sở dữ liệu OceanBase và các công cụ của nó.
MCP Server Template (Python)
Bishop MCP (Master Control Program)
Đây là một script máy chủ MCP nâng cao mà tôi đã phát triển và muốn chia sẻ.
MCP Spotify Server
WIP: MCP Server Superset
Một máy chủ Giao thức Ngữ cảnh Mô hình (Model Context Protocol) cho phép các mô hình ngôn ngữ lớn tương tác với cơ sở dữ liệu Apache Superset thông qua REST API, hỗ trợ truy vấn cơ sở dữ liệu, tra cứu bảng, truy xuất thông tin trường và thực thi SQL.
Google Analytics MCP Server
Gương của
Coinmarket MCP server
Mirror of
Weather MCP Server
Máy chủ giao thức ngữ cảnh mô hình cung cấp thông tin thời tiết.
Claude Desktop Commander MCP
Cho phép Claude thực thi các lệnh terminal trên máy tính của bạn và thực hiện các thao tác trên hệ thống tệp, bao gồm cả việc chỉnh sửa mã chính xác bằng các thay thế dựa trên diff.
Dify as MCP Server
Trình bày các ứng dụng Dify (cả Chatflow và Workflow) dưới dạng máy chủ MCP (Model Context Protocol), cho phép Claude và các ứng dụng khách MCP khác tương tác trực tiếp với các ứng dụng Dify thông qua một giao thức tiêu chuẩn.
imagegen-go MCP 服务器
MCP server which will trigger OpenAI to generate image
Code Analyzer MCP Server
MCP server for analyzing code for bugs, errors, and functionality issues
Recall MCP Server
Một máy chủ MCP đơn giản cung cấp các chức năng Recall cơ bản bao gồm liệt kê các bucket, lấy số dư tài khoản, tạo đối tượng và hơn thế nữa.
Bilibili MCP 服务器