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.

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

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.

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.

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 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 integrates LLM with GitHub repository management functions through the Model Context Protocol (MCP) standard, providing automated tools such as PR analysis, issue tracking, tag, and version management to optimize team workflows.

MCP Servers is a project hosted on GitHub, which includes workflows such as automated testing, code coverage checking, and security scanning, and follows open - source licenses and community codes of conduct.

falcon-mcp is a Model Context Protocol server that connects AI agents to the CrowdStrike Falcon platform, providing programmatic access to core security capabilities such as security detections, events, and behaviors, and supporting intelligent security analysis and automated workflows.

The Contentful MCP Server is an AI assistant tool that provides full - fledged interaction with the Contentful API, supporting operations such as content creation, management, asset organization, and automated workflows.

FFUF MCP is a bridge that connects the high-speed web fuzzing tool FFUF with the Model Context Protocol (MCP) ecosystem. It integrates FFUF features into MCP-compatible applications through a standardized protocol, supporting automated security testing and AI-assisted workflows.

This project includes GitHub Actions workflows for automated CI/CD processes, including the main CI pipeline, cross - platform testing, and release processes. It supports multi - node testing, type checking, code style checking, unit testing, integration testing, and other functions.

MCP URL2SNAP is a lightweight Model Context Protocol (MCP) server that allows LLMs to capture web page screenshots by specifying URLs and return image access links. This project simplifies the process of generating and sharing web page snapshots and is suitable for integration into AI applications such as Claude Desktop or automated workflows.

UltimateCoder MCP is a locally prioritized automation server designed for developers and engineers, offering terminal command automation, file editing, and AI tool enhancement functions. It supports localized operations to ensure data security, and has advanced file processing, process control, and code search capabilities, suitable for large-scale code refactoring and automated workflows.

This is a list containing a large number of open - source AI projects, covering multiple fields from natural language processing, image generation to automated workflows. These projects aim to help developers build various applications using AI technology, including chatbots, code - generation tools, data - processing systems, etc.

Alterx MCP is a bridge that connects the Alterx subdomain permutation tool with the MCP ecosystem, supporting the integration of subdomain generation capabilities into automated workflows through a standardized protocol.

MCP Quantum Server is a project that integrates APIs, advanced AI, and intelligent automation to optimize the development experience through AI-driven smart notifications and automated workflows.

Loominus MCP is a visual node editor designed to simplify the configuration and sharing of Model Context Protocol (MCP) servers and agents. It connects MCP tools with LLMs through a drag-and-drop interface, supports the rapid construction of automated workflows, and is suitable for the development of intelligent tools in the digital and physical worlds.

MockLoop MCP is the world's first AI-native API testing platform integrating the Model Context Protocol (MCP). It revolutionizes API testing through AI-driven scenario generation, automated test execution, and intelligent analysis capabilities. The platform offers 5 AI prompts, 15 scenario resources, 16 testing tools, and 10 context tools, supports a dual-port architecture and stateful testing workflows, and is suitable for enterprise-level compliance and advanced analysis requirements.

The GoHighLevel MCP server is a model context protocol service that provides comprehensive integration with the GoHighLevel API v2, supporting interactions with CRM, marketing automation, and business management tools, including functions such as contact management, conversation messages, calendar appointments, sales opportunities, payments, and automated workflows.

The GitHub MCP Server is a service based on the Model Context Protocol that provides seamless integration with the GitHub API, enabling developers to build automated workflows and AI tools.

The MCP penetration testing framework is an intelligent automated security assessment tool that integrates multiple security tools to achieve reconnaissance, vulnerability scanning, and controllable exploitation. It supports AI - driven intelligent workflows and report generation.

This project is an MCP server that connects large language models with the Frontapp customer communication platform, providing functions such as conversation management, contact management, and tag management, and supporting real - time updates and automated workflows.

The Integrator MCP Server is a legacy model context protocol server that can convert Integrator automated workflows into tools that can be called by AI assistants, enabling two-way interaction.

This project is an MCP server that connects large language models with the Frontapp customer communication platform, providing functions such as conversation management, contact management, and tag management, and supporting real - time updates and automated workflows.

An AI - based educational platform for Quranic etymology exploration, offering etymology analysis, frequency patterns, and multilingual research functions, including complete project context, database schema, and automated workflows.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

CastPlan MCP is an AI - driven intelligent programming environment that realizes a natural and smooth 'atmospheric programming' experience through a four - layer architecture, enabling AI to deeply understand the project context and provide intelligent assistance, and supporting multi - language team collaboration and automated workflows.

The Computer Use AI SDK developed by Screenpipe is an open - source project that provides an MCP server and client for controlling computer operations through AI. It supports the native macOS environment, does not require a virtual machine, can directly interact with any application or website, and provides basic functions such as launching applications, reading content, clicking, and entering text, aiming to build automated workflows and intelligent agents.

Overview: The Model Context Protocol (MCP) is a protocol designed to enable AI agents to access and utilize context, tools, and prompts. It allows for the creation of servers that provide standardized interfaces to interact with local or remote services, thereby enabling automated workflows such as reading files, operating databases, debugging code, and pushing changes to GitHub.

The MCP server and toolset maintained by the ver0-project provide protocol services for AI assistants and automated workflows, such as Git operations and HTTP requests.

The GitHub MCP Server is a server based on the Model Context Protocol, providing seamless integration with the GitHub API and supporting developers to build automated workflows and AI - driven tool applications.

MCP is an open - source protocol developed by Anthropic, aiming to provide a standardized way for AI models to interact with external data sources and tools. The project implements functions such as weather queries, Google automatic searches, and camera control. It is highly configurable and suitable for scenarios such as intelligent assistants and automated workflows.

This is an MCP server that provides Autopilot Browser workflow execution capabilities for AI agents such as Claude Desktop, supporting the search and execution of automated browser workflows.

The GitHub MCP Server is a service based on the Model Context Protocol that provides seamless integration with the GitHub API, supporting developers in building automated workflows and AI tools.

The Integrator MCP service is a legacy system that can integrate Integrator automated workflows as tools into AI assistants to achieve two-way interaction.

The gotoHuman MCP Server is a service that allows AI agents to request human review through MCP, supporting asynchronous workflows and automated approvals.

VIPER is a powerful and flexible red team platform that integrates core tools and functions required for adversary simulation and red team operations. It supports multi-platform operations, has a rich set of built-in modules, allows for custom extensions, and features automated workflows. It also provides a user-friendly interface and LLM intelligent agent support.

The GitHub MCP Server is a server based on the Model Context Protocol that provides seamless integration with the GitHub API, supporting developers to build automated workflows, data analysis, and AI tools.