# Containerization

This project studies the MCP server deployment scheme used by the research team, including local development configuration and Kubernetes containerization deployment, and explores how to implement team - shared AI tool services.

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

Configuration for building and running test projects using Docker

Grasp is an open-source and self-hostable humanized browser automation tool that supports the MCP and A2A protocols and can seamlessly integrate with various AI applications. Through Docker containerization deployment, it provides a browser operation experience controlled by natural language.

Configuration example for running the MCP server through Docker containers

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

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

A lightweight MCP server implementation that exposes custom tools via SSE for AI client integration.

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.

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

A service that provides a Model Context Protocol (MCP) interface for Prometheus, supporting the execution of PromQL queries, exploration of metric data, and providing authentication and containerized deployment support.

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.

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

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.

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.

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

AytchMCP is a model context protocol server for Aytch4K applications, supporting interactions with multiple large language models and including functions such as resource management, tool components, and protocol processing.

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

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.

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.

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.

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.

An MCP server based on the R language, providing ggplot2 data visualization and R script execution functions, supporting multiple output formats and Docker containerized operation.

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

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.

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.