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.

Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

An n8n workflow management protocol server designed for AI assistants, supporting the creation, execution, and monitoring of workflows through natural language interaction.

EDT MCP Server is an MCP protocol server plugin for 1C:EDT, allowing AI assistants (such as Claude, GitHub Copilot, Cursor, etc.) to interact with the EDT workspace, providing functions such as project information query, error reporting, code analysis, metadata management, application debugging, tagging and grouping, and visual form screenshots.

The Kanboard MCP Server is a model context protocol server developed in Go that enables seamless integration between AI assistants and the Kanboard project management system. It supports managing projects, tasks, users, and workflows through natural language commands.

ToolJet MCP is a bridge connecting AI assistants to the ToolJet platform, enabling programmatic interaction through the Model Context Protocol and supporting functions such as user management, workspace operations, and application management.

SAGE - MCP is an intelligent AI assistant MCP server that offers multiple working mode selections, conversation continuity management, and intelligent file handling functions. It can automatically select the best AI model based on task complexity.

This project uses Playwright for automated browser testing and is integrated and deployed with Cloudflare Workers, Browser Rendering, and @cloudflare/playwright, supporting web page interaction operations through an AI assistant.

A serverless YouTube subtitle extraction service based on Cloudflare Workers, using the MCP protocol to achieve high - performance AI assistant integration

The GitHub Actions MCP Server is a service designed for AI assistants to manage and operate GitHub Actions workflows, providing complete process control, run analysis, and secure operation functions.

Nyantify is an intelligent notification middleware that enables AI assistants to politely notify users after completing long - running tasks. It monitors whether the user leaves the IDE, the task duration, and the project context, and only sends push notifications to the mobile phone when really needed, avoiding disturbing the user's focused work.

The Notion MCP Server is a bridge connecting AI assistants and Notion workspaces. Through the standardized Model Context Protocol, it enables AI to programmatically access and manipulate Notion databases, pages, and content blocks.

An intelligent project management system that integrates n8n workflow automation, Claude Code AI programming assistant, and MCP servers, with features such as persistent memory, automatic backup, and code generation

A lightweight server based on the Model Context Protocol (MCP), designed for image processing and cloud upload, supporting resizing, conversion, optimization, and uploading to multiple cloud storage services, suitable for AI assistants and automated workflows.

This project is a server that implements the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services and enabling functions such as natural language operations on work items, project management, and team collaboration.

SystemPrompt Coding Agent is an open-source project that transforms a local workstation into an AI programming assistant that can be remotely controlled via the MCP protocol, supporting voice commands and mobile operations for off-site programming management.

mcp-micromanage is a tool for controlling and tracking the workflow of AI programming assistants. It ensures that development tasks are executed as planned through mandatory frequent feedback and a visualization dashboard.

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

Temporal-MCP is a server that connects AI assistants with Temporal workflows. Complex workflows can be triggered and managed through natural language conversations without writing additional code.

This is a custom AI tool demonstration project based on Cloudflare Workers and the MCP protocol, which can be integrated with AI assistants such as Claude and Cursor to expand AI functions.