# Containerization

The MCP Server is a server that provides AI assistants with the ability to perform web searches and access web pages, supporting the secure acquisition of real-time information and the processing of web page content.

A Docker management server based on the Model Context Protocol that provides container management functions through a natural language interface

Automated MetaTrader 5 trading strategy optimization and documentation generation system

Elfa MCP is a multi - language project, including Python and TypeScript versions, providing containerized deployment options and detailed documentation.

MCP Obsidian Docker is a containerized Obsidian server that interacts with Obsidian through the Local REST API plugin, providing a convenient note management interface.

This is an MCP server implementation project based on SearXNG, providing privacy - protected search capabilities for AI agents. The project is deployed through Docker containerization, supports two transport protocols, SSE and Stdio, and can be easily integrated into MCP - compatible clients.

An MCP server based on containerized Kali Linux that provides the ability to execute commands for penetration testing and security research tools, supporting background task management and interactive vulnerability detection.

VulniCheck is an AI - driven security scanner that provides comprehensive security analysis for Python projects and GitHub repositories. It runs as a Docker - based HTTP MCP server, supports standard HTTP streaming, and offers containerized deployment and comprehensive vulnerability scanning capabilities, including dependency checking, key detection, Docker file analysis, and AI risk assessment.

MCPwner is a security research automation server based on the Model Context Protocol, integrating multiple security testing tools (SAST, SCA, secret scanning, etc.) to provide a unified interface for LLM - driven security analysis workflows.

This project provides an AI-assisted MCP server for the DevContainer environment, supporting file system operations, directory management, and security mode switching to achieve seamless collaboration between the AI assistant and the containerized development environment.

Model Context Protocol Daemon is a tool for managing MCP servers, supporting functions such as quick installation and multi - instance management.

BaseMcpServer is a basic Docker - based MCP server image that provides a standardized Python environment and protocol support for quickly building and deploying MCP services.

A multi - functional computing and monitoring toolset based on JBang and the MCP server

A Twitter API server that doesn't require local authentication, providing core Twitter operation functions

A simple calculator service based on a custom model context protocol (MCP), supporting basic arithmetic operations and deployed via Docker containers.

A Docker container that converts any stdio-based MCP server to an SSE interface, supports Node.js and Python servers, allows customization of ports and paths, and is suitable for Kubernetes deployment.

An MCP protocol server providing services for the Tenor GIF API

This project is an MCP server based on Spring AI, providing CRM campaign management functions, including campaign creation, target rule setting, email content generation, and campaign scheduling. It is deployed through Docker containers.

MCP Command Server is a secure JSON - RPC API service for remote command execution, with command pattern filtering, containerized deployment, and self - documenting features.

The MCP server provides infrastructure connection services for LLM agents, supporting interaction with databases, file storage, Kafka, and web interfaces. It is deployed in a containerized manner and integrated with Gitlab Agent and LLM Chat to achieve automated data pipeline creation

An example project of building an MCP server based on Spring AI

An MCP server based on the Chrome debugging protocol, enabling browser automation and maintaining the login state. It can connect to an existing Chrome instance for persistent operations without installing extensions.

MCP-Mealprep is a Docker-based MCP server collection project that provides various AI tools and services through containerized deployment, supporting secure updates and flexible expansion.

An AI assistant chat project based on Gradio, integrating OpenAI API and Nmap tools, providing file system access and network scanning functions.

MCP - ChatBot is a chatbot application based on the Modular Capability Protocol (MCP). It integrates weather services and the GPT - 4o model through a containerized architecture to provide natural language interaction capabilities.

The MCP Server Unified Deployment Tool is a solution for standardized management of MCP servers deployed in various forms. It enables unified invocation through the SSE protocol and supports cross - platform and Docker containerized deployment.

This project implements an MCP server based on pyATS and Genie, providing structured, model-driven network device interaction capabilities through the JSON-RPC 2.0 protocol. It supports the secure execution of CLI commands, configuration changes, and data collection, and is suitable for containerized or LangGraph integration scenarios.

Configuration for building and running test projects using Docker

This is an MCP server project that provides a standardized interface for the Polymarket prediction market. It supports deployment through Docker containers and provides functions such as market data query, event information acquisition, and order book viewing, making it convenient for AI assistants to analyze prediction markets.

An implementation of the MCP protocol by Selector AI, providing real-time interactive AI services