# Workflow

Kanban MCP is a project that connects the Planka kanban board with the Cursor MCP protocol, enabling AI assistants to manage kanban tasks, including creating/moving cards, tracking time, adding comments, etc., to achieve human-machine collaborative workflow management.

This is an AI automated editing tool designed for Adobe Premiere Pro, which realizes natural language control and automated workflow through the MCP protocol.

The Flashduty MCP Server is a server based on the Model Context Protocol that provides seamless integration with the Flashduty API and supports event management and automation functions.

The Plane MCP Server is a model context protocol server that provides seamless integration with the Plane API, supporting functions such as project management, work item operations, and automation processes. It is suitable for developers and AI tool integration.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

AI Session Handover Management Service

Data Agents is a GenAI - based data engineering agent platform that automates data workflows through multi - agent collaboration, supports multiple AI backends and n8n integration, and provides a modern UI interface and Docker deployment solution.

The Gemini CLI Orchestrator is a multi-step code analysis tool based on Google Gemini AI. It guides developers through a systematic analysis via a structured workflow rather than replacing human thinking. It offers four core functions: analysis planning, prompt optimization, iterative analysis, and result synthesis, and is suitable for complex scenarios such as security audits and performance optimization.

Spec Workflow MCP is a tool that guides AI to systematically complete software development through a structured workflow (requirements → design → tasks) to ensure that code implementation is consistent with business requirements.

A Jira connection tool based on the Go language, supporting AI assistants to interact with Jira through the MCP protocol to achieve functions such as issue management and workflow operations.

Azure AI Vision Face Liveness Detection MCP Server for embedding proof of existence in Agentic AI workflows.

An MCP service that integrates Linear task management and TrackingTime time tracking, automating the workflow through natural language.

An AI-assisted software development workflow tool based on specification-driven development, providing a real-time dashboard to monitor project progress and document management.

Agentis MCP is a flexible multi - agent framework for building powerful AI agents, supporting MCP server connection, and providing functions such as tool access, resource retrieval, and multi - agent workflow orchestration.

This is an MCP server that provides integration for Linear issue tracking and project management, supporting functions such as creating and searching for issues, managing sprints, and teams.

The ComfyUI MCP Server is a service implementation for integrating ComfyUI with MCP. It needs to be used with a running ComfyUI server and provides multiple built-in tools such as text-to-image generation, image downloading, and running custom workflows. It supports running in UV or Docker mode.

An intelligent task management system based on the MCP protocol, providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, execution, and memory.

This project manages the configuration rules of AI agents through the Cursor IDE, including rule editing and synchronization mechanisms, and is mainly applied to the workflows of professional agents and development agents.

An MCP server based on the CrewAI framework, providing AI agent and task management functions, supporting the creation of agents, tasks, and workflows, and running automatically.

MCP service integration for the Productboard API

A server based on the FastMCP framework that generates images according to prompts through a remote Comfy server.

mcp - agent is a lightweight AI agent framework based on the Model Context Protocol (MCP), which supports building efficient agent applications through a simple and composable model. It integrates the lifecycle management of the MCP server and implements multiple workflow models, such as parallel processing, routing, evaluation optimization, etc., and is suitable for various AI application scenarios such as multi - agent collaboration and human - machine interaction.

The Apple MCP toolset is a collection of native Apple tools designed for the MCP protocol, supporting multiple functions such as messages, notes, contacts, emails, reminders, and calendars.

An MCP server that provides city weather information, realizing weather data query and natural - language processing functions through APIs and tool - based workflows.

A collection of MCP server examples provided by AWS GCR, covering various functions such as remote desktop, workflow services, AI planning, time services, and HTML rendering

MCP is an open protocol for standardizing the context of AI applications, similar to the USB - C interface in the AI field, enabling seamless connection between LLMs and various data sources/tools. It provides preset integrations, multi - model switching, secure data processing, and a standardized interface, supporting the construction of LLM - based intelligent agents and complex workflows.

Enterprise-level MCP server, integrating ServiceNow and workflow management, providing health monitoring and a high-performance FastAPI backend.

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.

This project is a ComfyUI workflow pipeline wrapper designed for Open WebUI. It implements image generation functionality through the comfy - mcp - server and needs to be used in conjunction with ComfyUI and Open WebUI Pipelines.

This project contains AI - assisted workflow templates for Angular component refactoring and design system migration, providing a structured and step - by - step guidance for complex refactoring operations.