Discover Awesome MCP Servers

Crypto Indicators MCP Server

Một máy chủ MCP cung cấp một loạt các chỉ báo và chiến lược phân tích kỹ thuật tiền điện tử.

Model Context Protocol and Fireproof Demo: JSON Document Server

Mirror of

Freqtrade-MCP

Một máy chủ MCP tích hợp với bot giao dịch tiền điện tử Freqtrade.

Script Tool

Máy chủ MCP để chạy tập lệnh

Mcp Api

mcp client and server

MCP-Agg: Multi-Channel Platform Aggregator

Máy chủ MCP tổng hợp

MCP Tools

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MCP Server: VS Code Extensions Installer

MCP tool for automatically installing VS Code extensions in Cursor

MCP Harbor

Một ứng dụng Node.js cung cấp một máy chủ Model Context Protocol để tương tác với Harbor container registry, hỗ trợ các thao tác cho các dự án, kho lưu trữ (repositories), thẻ (tags) và biểu đồ Helm.

Database MCP Server

Một máy chủ Giao thức Ngữ cảnh Mô hình (Model Context Protocol) cung cấp các công cụ để kết nối và tương tác với nhiều hệ thống cơ sở dữ liệu khác nhau (SQLite, PostgreSQL, MySQL/MariaDB, SQL Server) thông qua một giao diện thống nhất.

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!

Gemini Flash MCP - Image Generation for Roo Code

MCP server for Google Gemini 2.0 Flash image generation

Venice AI Image Generator MCP Server

Đang kiểm tra chức năng của máy chủ mcp Venice và Gemini (hình ảnh)

LibreChat MCP Servers

Instructions for setting up SuperGateway MCP servers in docker containers for docker deployments of LibreChat

Fillout.io MCP Server

Cho phép quản lý biểu mẫu, xử lý phản hồi và phân tích thông qua Fillout.io API để tăng cường tương tác biểu mẫu và thông tin chi tiết.

Deno 2 Playwright Model Context Protocol Server Example

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mcp-excel

MCP server to give client the ability to read Excel files

Workers MCP Server

Talk to a Cloudflare Worker from Claude Desktop!

mcp-yahoo-finance

Máy chủ MCP cho Yahoo Finance

Baidu Map

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

mcp-server-bluesky

MCP server for interacting with Bluesky

YouTube MCP Server

Cho phép các mô hình ngôn ngữ AI tương tác với nội dung YouTube thông qua một giao diện tiêu chuẩn, cung cấp các công cụ để truy xuất thông tin video, bản ghi, phân tích kênh và phân tích xu hướng.

BioMed-MCP-Server

Máy chủ MCP cho Cơ sở dữ liệu Văn học Y sinh

MySQL MCP Server

Một máy chủ mạnh mẽ cho phép các tác nhân AI tương tác với cơ sở dữ liệu MySQL, thực thi các truy vấn SQL và quản lý nội dung cơ sở dữ liệu thông qua một giao diện đơn giản.

web-search-mcp

MCP server for web searches

Hypefury MCP Server

Máy chủ HF MCP