# Containerization

MCP service deployment project based on Kubernetes

The MCP Secure Installer is an automated tool used to install and containerize the MCP server from a GitHub repository. It utilizes the MCP sampling function to analyze the repository and create the corresponding Docker image.

An MCP protocol server providing services for the Tenor GIF API

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 Octopus Deploy MCP server is an interactive tool based on the MCP protocol, providing functions for project management, version release, and deployment management, and supporting multi-space operations and Docker containerized deployment.

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

The MCP server based on pyATS enables structured network device interaction through the JSON-RPC 2.0 protocol

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

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

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.

Blue Bridge is a tool for querying and managing Azure resources through the MCP server, supporting zero-key authentication and covering various Azure service scenarios such as Grafana and Kusto.

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.

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.

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

This project is the Kubernetes deployment configuration for the Model Context Protocol (MCP) service, including the Docker image building, Azure Container Registry pushing, and K8s cluster deployment processes, and supports health checks, monitoring, and security protection.

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.

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.

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.

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.

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.

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

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

A secure API key management and npm package installation service

Configuration for building and running test projects using Docker

This project is the Kubernetes deployment configuration for the Model Context Protocol (MCP) server, including Docker image building, pushing to the Azure Container Registry, and K8s cluster deployment processes, supporting health checks, security protection, and elastic scaling.

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.

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.

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.