🇻🇳 Dịch Vụ Công MCP Server

This is an enhanced MCP (Model Context Protocol) server that provides xray vulnerability scanning capabilities for ModelScope hosting.

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Docker MCP Server A comprehensive Model Context Protocol (MCP) server that provides advanced Docker operations through a unified interface. This server combines 16 powerful Docker MCP tools with 25+ convenient CLI aliases to create a complete Docker workflow solution for developers, DevOps engineers, and system administrators. 🌟 What Makes Docker MCP Server Special Docker MCP Server is not just another Docker wrapper - it's a complete Docker workflow enhancement system designed to make Docker operations more intuitive, secure, and efficient: 🎯 Unified Interface MCP Protocol Integration: Seamlessly works with MCP-compatible tools and IDEs CLI Convenience: 25+ carefully crafted aliases for common Docker workflows Consistent API: All operations follow the same patterns and conventions Cross-Platform: Full support for Linux, macOS, and Windows environments 🔒 Security-First Design Docker-Managed Security: All password operations handled by Docker daemon for maximum security Zero Password Exposure: Passwords never appear in command history, process lists, or arguments Token Authentication Support: Full support for Personal Access Tokens and service accounts Registry Flexibility: Secure login to Docker Hub, AWS ECR, Azure ACR, Google GCR, and custom registries CI/CD Security: Secure stdin password input for automated deployment pipelines Permission Management: Proper handling of Docker daemon permissions and credential storage 🚀 Developer Experience Comprehensive Help System: Every command includes detailed documentation with --help Smart Defaults: Sensible default configurations for common use cases Error Prevention: Built-in safety checks and confirmation prompts for destructive operations Rich Output: Formatted, colored output with clear status indicators 📊 Advanced Operations Complete Container Lifecycle: From build to publish with comprehensive registry support Multi-Container Management: Docker Compose integration with service orchestration Registry Publishing: Advanced image publishing with multi-platform support and automated workflows Network & Volume Management: Advanced networking and storage operations System Maintenance: Intelligent cleanup tools with multiple safety levels Development Workflows: Specialized commands for development environments

PyGhidra-MCP - Ghidra Model Context Protocol Server pyghidra-mcp is a command-line Model Context Protocol (MCP) server that brings the full analytical power of Ghidra, a robust software reverse engineering (SRE) suite, into the world of intelligent agents and LLM-based tooling. It bridges Ghidra’s ProgramAPI and FlatProgramAPI to Python using pyghidra and jpype, then exposes that functionality via the Model Context Protocol. MCP is a unified interface that allows language models, development tools (like VS Code), and autonomous agents to access structured context, invoke tooling, and collaborate intelligently. Think of MCP as the bridge between powerful analysis tools and the LLM ecosystem. With pyghidra-mcp, Ghidra becomes an intelligent backend—ready to respond to context-rich queries, automate deep reverse engineering tasks, and integrate into AI-assisted workflows. Yet another Ghidra MCP? Yes, the original ghidra-mcp is fantastic. But pyghidra-mcp takes a different approach: 🐍 No GUI required – Run entirely via CLI for streamlined automation and scripting. 🔁 Designed for automation – Ideal for integrating with LLMs, CI pipelines, and tooling that needs repeatable behavior. ✅ CI/CD friendly – Built with robust unit and integration tests for both client and server sessions. 🚀 Quick startup – Supports fast command-line launching with minimal setup. 📦 Project-wide analysis – Enables concurrent reverse engineering of all binaries in a Ghidra project 🤖 Agent-ready – Built for intelligent agent-driven workflows and large-scale reverse engineering automation. 🔍 Semantic code search – Uses vector embeddings (via ChromaDB) to enable fast, fuzzy lookup across decompiled functions, comments, and symbols—perfect for pseudo-C exploration and agent-driven triage.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

通过高德api获取城市天气信息

A Model Context Protocol (MCP) server that enables AI agents to create OSC (Open Sound Control) endpoints and receive OSC messages. This server provides a bridge between AI agents and OSC-enabled applications like SuperCollider, Max/MSP, TouchOSC, and other music/audio software.

基于Base网络的区块链支付MCP（Model Context Protocol）服务器，提供完整的区块链支付功能。 🌟 功能特性 多网络支持: 支持多个测试网和主网，包括Base Sepolia、Base Mainnet、Ethereum Sepolia、Ethereum Mainnet等 代币支持: ETH、USDC、USDT、DAI、WETH等主流代币 余额查询: 查询任意地址的ETH和代币余额 安全转账: 支持ETH和ERC20代币转账 交易追踪: 实时查询交易状态和确认数 Gas估算: 智能估算交易Gas费用 钱包管理: 创建新钱包、验证地址格式 安全限制: 内置交易金额限制和安全检查

A MCP server providing real-time stock market data and financial analysis through Yahoo Finance API. Built with FastAPI and designed for AI applications requiring comprehensive financial data access

Quake MCP Server

A Model Context Protocol (MCP) server that fetches article data from URLs using newspaper3k.

MCP Advisor & Installation - Use the right MCP server for your needs

Web content fetching and conversion for efficient LLM usage

tubescope is your AI YouTube research assistant that helps creators reverse-engineer viral content and optimize their creative strategy. Analyze hooks, optimize thumbnails, discover viral patterns, and research winning content - all from within Claude Desktop or Cursor IDE.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features. The MCP server currently supports the below Cortex AI capabilities: Cortex Search: Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications. Cortex Analyst: Query structured data in Snowflake via rich semantic modeling. Cortex Agent: Agentic orchestrator across structured and unstructured data retrieval

akshare

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features. The MCP server currently supports the below Cortex AI capabilities: - Cortex Search: Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications. - Cortex Analyst: Query structured data in Snowflake via rich semantic modeling. - Cortex Agent: Agentic orchestrator across structured and unstructured data retrieval

Repository management, file operations, and GitHub API integration

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Retrieving and analyzing issues from Sentry.io

MCP server for interacting with Neon Management API and databases