# Workflow

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

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

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.

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.

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

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.

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.

An example project of an MCP server demonstrating how to chat with DeepSeek and use MCP tool calls.

The TimeCamp MCP Server is a hosted service based on Cloudflare Workers, providing API functions integrated with the TimeCamp time management tool, including operations such as creating, querying, updating, and deleting time records.

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.

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

00_master_mcp is the core coordinator of the MCP multi - agent system, responsible for managing the connections of all downstream service containers, context routing, security policy enforcement, and complex workflow orchestration, and providing a unified SSE endpoint for external tools to access.

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.

The Razorpay MCP Server is an official payment integration service that provides seamless docking with the Razorpay API through the Model Context Protocol (MCP), supporting multiple payment tools and automated processes.

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.

MCP Kanban is a task management toolset designed for AI agents. It manages multi-session workflows through a kanban system, supports column capacity limits, an embedded database, and Web UI monitoring. It provides API interfaces for creating, moving, and deleting tasks, as well as preset prompt words to assist in project initiation and advancement.

This project implements an MCP server that integrates Venice AI's image - generation capabilities, providing an interactive image - generation service with an approval/regeneration workflow and supporting the generation of multi - view 3D views through the Gemini API.

A Golang-based MCP-compatible server for running Argo workflows

AI Session Handover Management Service

This project has configured GitHub Actions workflows for testing Plane.so API endpoints, including unit tests and integration tests. You need to configure API keys and the workspace slug as keys.

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

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.

This is an MCP server designed for Spec Kit that allows AI assistants to directly interact with Spec Kit templates and workflows to help manage project specifications, planning, and implementation.

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.

This is an MCP server project that allows users to define AI sub - agents for specific tasks (such as code review, test writing) in Markdown files and execute them in any MCP - compatible tool through the Cursor, Claude Code, or Gemini CLI backends, realizing the reuse of AI sub - agent workflows across IDEs.

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

Quick-start Auto MCP is a tool that helps users quickly register the Anthropic Model Context Protocol (MCP) in Claude Desktop and Cursor. It provides functions such as RAG document search, Dify workflow, real-time web search, and supports one-click generation of JSON configuration files.