Deebo is an AI debugging assistant that can accelerate the process of resolving code errors and improve development efficiency through automated investigation and multi - threaded workflows.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

Clippy is a macOS terminal clipboard tool that supports copying file references, GUI pasting, management of recently downloaded files, processing of pipeline data, and AI integration with the MCP server, improving work efficiency.

MCP Server is an AI agent tool designed specifically for macOS that improves work efficiency through system-level control, is compatible with MCP models, and integrates AI functions.

An MCP server that provides intelligent text summarization functions for AI agents, optimizing context window management and improving AI work efficiency

Todoist MCP Server Extended is a server implementation that integrates Claude or other MCP - compatible LLMs with Todoist, manages tasks through natural language, and optimizes the workflow efficiency of LLM.

NCP is an intelligent orchestrator for the MCP protocol that manages multiple MCP servers in a unified manner. It automatically routes tool calls through semantic understanding, significantly reducing the cognitive burden and token consumption of AI tools, and improving the work efficiency and response speed of AI assistants.

The Notion MCP server is a middleware service that enables interaction between LLMs and the Notion workspace through the Notion API, supporting Markdown conversion to optimize token usage efficiency.

The Azure DevOps MCP server provides functions such as project management and repository operations, simplifies complex workflows, and improves development efficiency.

Ticketron (tix) is an intelligent command-line tool that uses large language models (LLMs) to simplify the interaction with JIRA, supporting natural language creation and search for work orders and improving work efficiency.

The Clockify MCP Server is a service that automates interactions with the Clockify time tracking platform, aiming to simplify work time recording, task management, and time entry processing, and improve project management efficiency.

This project is an interactive feedback MCP server, aiming to optimize the workflow of AI assistants, reduce unnecessary tool calls by requesting user feedback, improve efficiency, and save resources.

MCP-Agg is a multi-platform aggregation API service that provides a unified interface to access tools such as GitHub and Slack, simplifying workflows and improving efficiency.

The Lara - MCP project aims to provide efficient and user - friendly solutions for various industries by optimizing workflows and enhancing operational efficiency.

Ahma MCP is a high-performance MCP server that can quickly convert command-line tools into AI agent tools, support asynchronous multi-threaded execution, achieve zero-code integration through JSON configuration, and significantly improve AI work efficiency.

This project demonstrates how future DevOps engineers can use the MCP and A2A protocols to simplify workflows, improve efficiency, and automate complex tasks by installing Nginx in three ways: manual simulation, MCP, and A2A.