Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

Agentic Radar is a security scanning tool for analyzing and assessing agentic systems, helping developers, researchers, and security experts understand the workflows of agentic systems and identify potential vulnerabilities.

An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.

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.

Nx Console is a visualization tool for Nx and Lerna monorepo projects, which enhances the AI function of the editor and provides project and workflow management.

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.

GitKraken CLI is a command - line tool that provides multi - repository workflow management, AI - generated commit messages and pull requests, and includes a local MCP server for integrating tools such as Git, GitHub, and Jira.

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent workflows.

UE5 - MCP is an AI - integrated automation tool designed to optimize the workflow between Blender and Unreal Engine 5, providing an end - to - end solution from scene generation to game development.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

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

n8n Workflow Management MCP Server

n8n is a workflow automation platform for technical teams, combining code flexibility and no - code speed, offering over 400 integrations, native AI capabilities, and fair - code licensing, supporting self - hosting or cloud deployment.

An MCP server set in the Kali Linux environment, focusing on reverse engineering, security testing, and automated workflows.

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

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

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.

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.

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

Pixelle MCP is an omnimodal AIGC solution based on the MCP protocol, which can convert ComfyUI workflows into MCP tools without code, achieving seamless integration between LLM and ComfyUI.

MobSF MCP is a Node.js-based implementation of the Model Context Protocol that provides a standardized interface for the Mobile Security Framework (MobSF) and supports integration with automated workflows and third-party tools.

A custom MCP server that provides functions such as code repository management, test running, and development workflow generation

This is an MCP server that connects to the Tuba.ai platform, allowing you to control and interact with AI vision workflows programmatically, providing functions such as execution, monitoring, configuration, and file upload.

An MCP server implemented based on go - mcp, used for automated vulnerability scanning tasks in emergency response. It supports generating POCs, creating scanning tasks and workflows, and is compatible with both HTTP API and MCP protocol.

This project includes multiple GitHub Actions workflows for automated deployment and image publishing, including core service building and deployment, runner image building, and template synchronization to cloud storage.

Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

The Linear Regression MCP project demonstrates an end-to-end machine learning workflow using Claude and the Model Context Protocol (MCP), including data preprocessing, model training, and evaluation.

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.

GitHub Actions automated workflow configuration, including version update and NPM package publishing functions

A high - performance Model Context Protocol (MCP) server for integrating Notion into AI workflows.

Hivemind is an Obsidian plugin that provides AI firewall capabilities for fictional world - building, research, and knowledge management. It ensures that AI tools collaborate based on the real information in the user's notes through timeline views, relationship graphs, and canonical workflows, preventing AI hallucinations.

MCP Agile Flow is an AI - assisted agile development workflow management system based on FastMCP, providing RESTful APIs and a resource - prioritized architecture, supporting natural language command processing and multi - IDE integration.

CrewAI Enterprise - level MCP Server implementation for deploying and managing AI workflows

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.

DINO-X MCP is a project that enables large language models to perform fine-grained object detection and image understanding through DINO-X and Grounding DINO 1.6 API. It can achieve precise object positioning, counting, attribute analysis, and scene understanding, and supports natural language-driven visual tasks and workflow integration.

An MCP server that connects Claude with the Odoo ERP system, allowing users to query data, create records, and build repeatable workflows using natural language without memorizing API syntax or field names.