# Containerization

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

An MCP server project based on Spring Boot that exposes the OWASP ZAP security tool as an MCP protocol service for AI agents to call the scanning function.

A collection of Docker - containerized MCP services supporting the integration of Slack, Notion, and GitHub

A prototype of the MCP tool that generates method stubs based on OpenAPI Schema, supporting containerized deployment

Deploy the MCP server on AWS using AWS Fargate

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

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

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

LibreChat integrates the MCP server through Supergateway bridging, extending the multi - tool proxy ability and supporting containerized deployment and the SSE communication protocol.

Automated MetaTrader 5 trading strategy optimization and documentation generation system

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

The OWASP ZAP MCP server is a protocol server that integrates the Zed Attack Proxy security scanning tool with an AI assistant. It supports multiple scan types and containerized deployment, enabling shift-left security testing in development.

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.

A headless Gmail server that provides email sending and receiving functions through the MCP protocol

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.

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.

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

A Docker management service based on the Model Context Protocol, providing container management functions through a natural language interface, supporting containerized deployment and resource management.

MCP Serve is a powerful deep learning model server tool that supports deployment through Shell execution, Ngrok connection, or Docker containers, and integrates multiple advanced AI technologies.

A containerized server implementation integrating Redis and MCP protocol, providing Redis operation interfaces and Docker support.

This project is an implementation of the client and server based on the MCP protocol, including functions such as IP information query, and supports running through Docker containers or development containers.

The IBM i MCP server is a server based on the Model Context Protocol, providing SQL tools, monitoring, and automation functions for the IBM i system, supporting multiple client integrations and containerized deployment

The WildFly MCP project aims to provide WildFly users with tools to monitor and manage servers using generative AI capabilities, including components such as MCP servers, chatbots, container images, and protocol gateways.

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.

Posuer is a powerful MCP protocol manager that serves as a bridge between LLM clients and multiple MCP servers, providing containerized isolation, dynamic configuration reloading, multi-server capability aggregation, and intelligent routing.

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

This project provides Docker configuration for containerized operation of the Salesforce MCP server.

The MCP Secure Installer is an automated tool for installing and containerizing MCP servers from GitHub repositories, supporting multi - server management.